I thought I'd type up the recipe for my very favorite salsa, Diana Kennedy's Salsa para Barbacoa, from her Art of Mexican Cooking (p. 348). This is a fiery, tangy, smoky concoction intended to top barbecued lamb or goat but which goes wonderfully with any richly flavored meat or just served in a bowl with corn chips.
The recipe calls for dried chiles moritas, that is, red serrano peppers that have been smoked and dried, most familiar to American consumers canned in adobo sauce and somewhat misleadingly labeled as chipotles en adobo (actual dried chipotles, or smoked jalepenos, are a few inches long and a mottled tan color). What you should look for is small, sub-2-inch, coffee-colored dried chiles that, unless they are packaged totally air-tight, should smell very smoky. Ideally, the chiles should still be pliable and raison-soft, but if they have dried out some, they should still be fine.
To toast the chiles, heat a heavy skillet over medium heat. For most chiles, you want to press them into the pan to flatten them out, but that technique doesn't work too well with the often-brittle chiles de árbol and the often-lumpy chiles moritas that this recipe calls for, so I usually just throw them all into the pan together and toss them around for a few minutes. They're ready when the chiles de árbol turn a lighter shade and become quite brittle and when, an minute or two later, the chiles moritas soften and their skin begins to pucker slightly and discolor. They should give off a spicy, smoky aroma as they toast.
Ingredients:
1 lb. tomatos verde, husks removed, rinsed
5-7 chiles moritas, toasted
10 chiles de árbol, toasted
2 garlic cloves, peeled and rough chopped.
2 tbsp. rough chopped white onion
1/4 tsp. dried oregano, ideally Mexican
1/8 tsp. cumin seed, toasted
3/4 tsp. salt
1.) Put tomato verde in a pan, cover with water, bring to a simmer, and cook for 5 minutes. Remove from heat, reserving cooking water.
2.) Crumble dried chiles into blender or food processor, removing about half the seeds as you do so. Add all remaining ingredients, except for the tomato verde, along with 1/2 cup of the reserved cooking water. Blend very thoroughly, until nearly smooth. (Some bits of chile skin will survive, but pay no mind).
3.) Add the tomato verde and blend briefly, just enough to break them up. It should retain a good deal of texture. Serve warm.
Saturday, May 5, 2012
Friday, March 30, 2012
Pollo en Mole Rójo Sencillo
(Chicken in Red Country Mole,
adapted from Diana Kennedy's "The Art of Mexican Cooking," p. 224)
The Chicken
1 lg. chicken (3.5-4 lbs.), cut into serving pieces, with giblets
1 sm. white onion, rough chopped
2 garlic cloves, peeled and rough chopped
water or light chicken broth to cover
salt to taste
The Sauce
2 oz. (about 11) chiles guajillos
2 oz. (about 7) chiles pasillas
2 oz. (about 5) chiles anchos
6 tbsp. lard or cooking oil, divided
5 oz. (1 rounded cup) hulled raw pumpkin seeds (pepitas)
6-7 c. chicken broth
4 garlic cloves, peeled and rough chopped
3 whole cloves
5 peppercorns
salt to taste
corn tortillas
The Chicken
1.) Put chicken, onion, and garlic in pan. Cover with water or light chicken broth. Salt and bring to a simmer. Cook until nearly tender (not cooked through, about 18-20 minutes.
2). Drain and measure broth. There should be 7 c. If not, make up to that amount.
The Sauce
3.) Remove stems from chiles. Slit open and remove and discard seeds and veins.
4.) Put chiles in a pan and cover with water. Bring to simmer and simmer for 5 minutes. Remove from heat and let steep for 15 minutes.
5.) Meanwhile, heat 1 tbsp. lard in frying pan. Add pumpkin seeds and heat over med. until all have swelled and popped. Set aside.
6.) Into blender, add.5 c. broth, garlic, and spices. Blend to thick, textured paste.
7.) Heat remaining oil in heavy pan. Add seed paste, and fry over med. heat, turning and scraping constantly, about 5 minutes. Remove from heat.
8.) To blender, add 1 c. broth and half the chiles. Blend very thoroughly. Add to pan. Repeat with remaining chiles. Use only enough broth to release the blender blades. Add to pan.
9.) Return pan to med. heat, stirring and scraping occasionally, 15 minutes. Add remaining broth and cook for an additional 15 minutes.
10.) Add chicken and cook until tender, the sauce dark red w/ oil beginning to pool on top, about 15 minutes more.
11.) Serve a portion of chicken with lots of sauce, steamed corn tortillas, rice and beans.
adapted from Diana Kennedy's "The Art of Mexican Cooking," p. 224)
The Chicken
1 lg. chicken (3.5-4 lbs.), cut into serving pieces, with giblets
1 sm. white onion, rough chopped
2 garlic cloves, peeled and rough chopped
water or light chicken broth to cover
salt to taste
The Sauce
2 oz. (about 11) chiles guajillos
2 oz. (about 7) chiles pasillas
2 oz. (about 5) chiles anchos
6 tbsp. lard or cooking oil, divided
5 oz. (1 rounded cup) hulled raw pumpkin seeds (pepitas)
6-7 c. chicken broth
4 garlic cloves, peeled and rough chopped
3 whole cloves
5 peppercorns
salt to taste
corn tortillas
The Chicken
1.) Put chicken, onion, and garlic in pan. Cover with water or light chicken broth. Salt and bring to a simmer. Cook until nearly tender (not cooked through, about 18-20 minutes.
2). Drain and measure broth. There should be 7 c. If not, make up to that amount.
The Sauce
3.) Remove stems from chiles. Slit open and remove and discard seeds and veins.
4.) Put chiles in a pan and cover with water. Bring to simmer and simmer for 5 minutes. Remove from heat and let steep for 15 minutes.
5.) Meanwhile, heat 1 tbsp. lard in frying pan. Add pumpkin seeds and heat over med. until all have swelled and popped. Set aside.
6.) Into blender, add.5 c. broth, garlic, and spices. Blend to thick, textured paste.
7.) Heat remaining oil in heavy pan. Add seed paste, and fry over med. heat, turning and scraping constantly, about 5 minutes. Remove from heat.
8.) To blender, add 1 c. broth and half the chiles. Blend very thoroughly. Add to pan. Repeat with remaining chiles. Use only enough broth to release the blender blades. Add to pan.
9.) Return pan to med. heat, stirring and scraping occasionally, 15 minutes. Add remaining broth and cook for an additional 15 minutes.
10.) Add chicken and cook until tender, the sauce dark red w/ oil beginning to pool on top, about 15 minutes more.
11.) Serve a portion of chicken with lots of sauce, steamed corn tortillas, rice and beans.
Monday, February 27, 2012
Peking Duck with Stir-Fried Baby Bok Choy
Serves 2-4, with white rice (probably 2)
If duck is frozen, begin defrosting, ideally, 5 days ahead.
Ingredients:
1 Pekin (Long Island) duck, 5-6 lb., giblets removed
Spice Rub
1 tbsp. kosher salt
2 garlic cloves, minced
2 tsp. fine grated orange zest
1.5 tsp. coriander seeds, lightly toasted
1.25 tsp. Chinese 5-spice powder
.5 tsp ground pepper
Glaze
3 tbsp. hoisin sauce
2 tbsp. orange liqueur (Grand Marnier, Triple Sec, etc.)
1 tbsp. honey
1 tsp. toasted sesame oil
Garnish
.5 cup thin sliced cucumbers
3-4 scallions, halved, and then quartered, lengthwise
10-pack Mandarin pancakes
Steps:
1) Combine spice rub ingredients in spice grinder and grind fine.
2) Prep duck: remove neck, feet, wing tips, and remove excess skin around neck and rear openings.
3) Score the duck fat all over -- breasts, legs, wings, and back -- in a crosshatch pattern, every .5 in., being certain not to cut the meat.
4) Rub 2/3 of the mixture in the duck cavity and the remaining 1/3 over the exterior.
5) Set duck on a rack placed over paper towels to air dry in the refrigerator, 24-48 hrs.
6) 4 hours before serving time, remove duck from refrigerator so it comes to room temp, 1 hr. After 45 minutes, pre-heat stove to 325º.
7) Place duck, breasts down, on a rack in a roasting pan. Roast for 1.25 hrs. Flip duck, breasts up, and continue roasting, another 1.25 hrs.
8) Meanwhile, prepare garnishes and combine ingredients for glaze. Prep ingredients for bok choy.
9) Check for doneness. The thigh should pierce very easily and should register 175º on an instant read thermometer. Drain rendered duck fat.
10) Raise oven temp to 525º and glaze duck breasts and thighs with .5 the prepared glaze.
11) Once it comes to temp, return bird to oven, 5 min. Glaze with remaining glaze and roast for 5 min.
12) Transfer duck to cutting board to rest. Prepare stir-fry. Microwave pancakes according to manufacturer's instructions.
Stir-Fried Bok Choy
Ingredients:
1.5 lb. baby bok choy
2 tbsp. peanut oil
2 tsp. minced ginger
2 scallions, sliced thin
4 garlic cloves, minced
1 tsp. kosher salt
1 tsp. sugar
1 pinch ground pepper
Steps:
1) Prep bok choy: Cut off 1/8th in. from stem ends. Slice across in .5 in. slices.
2) Combine ginger, scallion, & garlic.
3) Combine salt, sugar, & pepper.
4) Heat oil in wok or large frying pan until just smoking.
5) Add ginger, scallions, & garlic. Stir-fry 30 sec.
6) Add bok choy and seasoning. Stir-fry until white parts are just tender.
If duck is frozen, begin defrosting, ideally, 5 days ahead.
Ingredients:
1 Pekin (Long Island) duck, 5-6 lb., giblets removed
Spice Rub
1 tbsp. kosher salt
2 garlic cloves, minced
2 tsp. fine grated orange zest
1.5 tsp. coriander seeds, lightly toasted
1.25 tsp. Chinese 5-spice powder
.5 tsp ground pepper
Glaze
3 tbsp. hoisin sauce
2 tbsp. orange liqueur (Grand Marnier, Triple Sec, etc.)
1 tbsp. honey
1 tsp. toasted sesame oil
Garnish
.5 cup thin sliced cucumbers
3-4 scallions, halved, and then quartered, lengthwise
10-pack Mandarin pancakes
Steps:
1) Combine spice rub ingredients in spice grinder and grind fine.
2) Prep duck: remove neck, feet, wing tips, and remove excess skin around neck and rear openings.
3) Score the duck fat all over -- breasts, legs, wings, and back -- in a crosshatch pattern, every .5 in., being certain not to cut the meat.
4) Rub 2/3 of the mixture in the duck cavity and the remaining 1/3 over the exterior.
5) Set duck on a rack placed over paper towels to air dry in the refrigerator, 24-48 hrs.
6) 4 hours before serving time, remove duck from refrigerator so it comes to room temp, 1 hr. After 45 minutes, pre-heat stove to 325º.
7) Place duck, breasts down, on a rack in a roasting pan. Roast for 1.25 hrs. Flip duck, breasts up, and continue roasting, another 1.25 hrs.
8) Meanwhile, prepare garnishes and combine ingredients for glaze. Prep ingredients for bok choy.
9) Check for doneness. The thigh should pierce very easily and should register 175º on an instant read thermometer. Drain rendered duck fat.
10) Raise oven temp to 525º and glaze duck breasts and thighs with .5 the prepared glaze.
11) Once it comes to temp, return bird to oven, 5 min. Glaze with remaining glaze and roast for 5 min.
12) Transfer duck to cutting board to rest. Prepare stir-fry. Microwave pancakes according to manufacturer's instructions.
Stir-Fried Bok Choy
Ingredients:
1.5 lb. baby bok choy
2 tbsp. peanut oil
2 tsp. minced ginger
2 scallions, sliced thin
4 garlic cloves, minced
1 tsp. kosher salt
1 tsp. sugar
1 pinch ground pepper
Steps:
1) Prep bok choy: Cut off 1/8th in. from stem ends. Slice across in .5 in. slices.
2) Combine ginger, scallion, & garlic.
3) Combine salt, sugar, & pepper.
4) Heat oil in wok or large frying pan until just smoking.
5) Add ginger, scallions, & garlic. Stir-fry 30 sec.
6) Add bok choy and seasoning. Stir-fry until white parts are just tender.
Tuesday, September 20, 2011
Santorum
Just doing my part to keep Google's search results honest by linking to
http://spreadingsantorum.com/
http://spreadingsantorum.com/
Wednesday, June 15, 2011
Thomas Keller's "Buttermilk Fried Chicken" from _Ad Hoc at Home_
Serves 4-6
NOTE: Begin preparing brine at least 24 hours (ideally 48) ahead.
Two 2.5 to 3 lb chickens*
Chicken Brine, cold (see below)
*This is on the small side, esp. in most grocery stores. I've found that Whole Foods's very smallest birds usually just make the cut. Otherwise yous might need access to a good Farmer's Market. Smaller birds ensure a proper brine and a good meat to crust ratio.
For Dredging and Frying
Peanut or canola oil for deep frying (Gonna need a lot -- I usually buy it by the gallon at the local Asian market and reuse it a few times.)
1 qt. buttermilk
Kosher salt and fresh ground black pepper
Coating
6 c. all-purpose flour
.25 c. garlic powder
.25 c. onion powder
1 T + 1 t paprika
1 T + 1 t cayenne
1 T + 1 t kosher salt
1 T + 1 t black pepper
Ground fleur de sel or fine sea salt
Rosemary and thyme sprigs for garnish
Additional materials
Candy thermometer
Dutch oven or other heavy pot
Big freakin' stock pot for brining
Instructions:
1. Break down each chicken into 10 parts (2 thighs, 2 drumsticks, 2 wings, 2 breasts that are then sliced in half). Add to brine, and leave set for EXACTLY 12 hours. Remove, rinse, & dry. (Chicken can be held at this point, refrigerated, for up to 1 day.)
2. 90 minutes before beginning frying, remove chicken from fridge and allow to come to room temp & sort by cut, putting breast pieces into the bottom of a bowl, followed by (in order) wings, drumsticks, & thighs.
3. Fill pot (I use a heavy, cast iron Dutch oven) with AT LEAST 2" oil, BUT NOT MORE than enough to come 1/3 the way up the pot. Heat to 320º. A good thermometer is absolutely necessary. Set a cooling rack over a baking sheet. Line a second baking sheet with parchment paper.
4. Combine coating ingredients in a large bowl, then divide between 2 bowls. Pour buttermilk into 3rd bowl, seasoning with salt and pepper. Set up a dipping station: 1.) bowl of chicken parts, sorted; 2.) bowl of coating; 3.) bowl of buttermilk; 4.) 2nd bowl of coating; 5.) parchment-lined baking sheet.
5. Just before frying, dredge thighs in 1st coating bowl, dip in buttermilk, drain, dip in 2nd bowl, set on parchment-lined baking sheet.
6. Add thighs to oil, adjusting heat to maintain 320º temperature. Fry 2 minutes, undisturbed. Then move pieces about, flipping to ensure even frying, another 11-12 minutes. Meanwhile, prepare the next cut (in the first case, the drumsticks) to be fried.
7. Transfer cooked thighs to cooling rack, skin side up. Check temp then repeat, first for drumsticks, leaning these on end against the thighs to improve oil drainage.
8. Turn heat up to 340º and coat the breasts and wings. Working in batches, lower these into the oil and fry for 7 minutes. Transfer to rack, skin side up, sprinkle with salt, and allow to rest for 7 minutes. Turn off heat.
9. Arrange chicken on serving platter. Add herb springs to (still hot) oil and allow to fry till crisp, a few seconds. Arrange over chicken. Serve.
Chicken Brine (for 10 lb. of chicken, roughly double what's needed for the chicken recipe)
5 lemons
12 bay leaves
1 bunch (4 oz.) Italian parsley
1 bunch (1 oz.) thyme
1/2 cup clover honey
1 head garlic, halved through equator
1/4 cup black peppercorns
2 cups (10 oz.) Diamond Crystal kosher salt*
2 gallons water
Combine all ingredients in a (very) large pot, cover, bring to a boil. Boil 1 minute, stirring to dissolve salt. Remove from heat and chill completely (at least overnight). Brine can be refrigerated up to 3 days.
*If not using Diamond Crystal, weigh another brand to exactly 10 oz.
NOTE: Begin preparing brine at least 24 hours (ideally 48) ahead.
Two 2.5 to 3 lb chickens*
Chicken Brine, cold (see below)
*This is on the small side, esp. in most grocery stores. I've found that Whole Foods's very smallest birds usually just make the cut. Otherwise yous might need access to a good Farmer's Market. Smaller birds ensure a proper brine and a good meat to crust ratio.
For Dredging and Frying
Peanut or canola oil for deep frying (Gonna need a lot -- I usually buy it by the gallon at the local Asian market and reuse it a few times.)
1 qt. buttermilk
Kosher salt and fresh ground black pepper
Coating
6 c. all-purpose flour
.25 c. garlic powder
.25 c. onion powder
1 T + 1 t paprika
1 T + 1 t cayenne
1 T + 1 t kosher salt
1 T + 1 t black pepper
Ground fleur de sel or fine sea salt
Rosemary and thyme sprigs for garnish
Additional materials
Candy thermometer
Dutch oven or other heavy pot
Big freakin' stock pot for brining
Instructions:
1. Break down each chicken into 10 parts (2 thighs, 2 drumsticks, 2 wings, 2 breasts that are then sliced in half). Add to brine, and leave set for EXACTLY 12 hours. Remove, rinse, & dry. (Chicken can be held at this point, refrigerated, for up to 1 day.)
2. 90 minutes before beginning frying, remove chicken from fridge and allow to come to room temp & sort by cut, putting breast pieces into the bottom of a bowl, followed by (in order) wings, drumsticks, & thighs.
3. Fill pot (I use a heavy, cast iron Dutch oven) with AT LEAST 2" oil, BUT NOT MORE than enough to come 1/3 the way up the pot. Heat to 320º. A good thermometer is absolutely necessary. Set a cooling rack over a baking sheet. Line a second baking sheet with parchment paper.
4. Combine coating ingredients in a large bowl, then divide between 2 bowls. Pour buttermilk into 3rd bowl, seasoning with salt and pepper. Set up a dipping station: 1.) bowl of chicken parts, sorted; 2.) bowl of coating; 3.) bowl of buttermilk; 4.) 2nd bowl of coating; 5.) parchment-lined baking sheet.
5. Just before frying, dredge thighs in 1st coating bowl, dip in buttermilk, drain, dip in 2nd bowl, set on parchment-lined baking sheet.
6. Add thighs to oil, adjusting heat to maintain 320º temperature. Fry 2 minutes, undisturbed. Then move pieces about, flipping to ensure even frying, another 11-12 minutes. Meanwhile, prepare the next cut (in the first case, the drumsticks) to be fried.
7. Transfer cooked thighs to cooling rack, skin side up. Check temp then repeat, first for drumsticks, leaning these on end against the thighs to improve oil drainage.
8. Turn heat up to 340º and coat the breasts and wings. Working in batches, lower these into the oil and fry for 7 minutes. Transfer to rack, skin side up, sprinkle with salt, and allow to rest for 7 minutes. Turn off heat.
9. Arrange chicken on serving platter. Add herb springs to (still hot) oil and allow to fry till crisp, a few seconds. Arrange over chicken. Serve.
Chicken Brine (for 10 lb. of chicken, roughly double what's needed for the chicken recipe)
5 lemons
12 bay leaves
1 bunch (4 oz.) Italian parsley
1 bunch (1 oz.) thyme
1/2 cup clover honey
1 head garlic, halved through equator
1/4 cup black peppercorns
2 cups (10 oz.) Diamond Crystal kosher salt*
2 gallons water
Combine all ingredients in a (very) large pot, cover, bring to a boil. Boil 1 minute, stirring to dissolve salt. Remove from heat and chill completely (at least overnight). Brine can be refrigerated up to 3 days.
*If not using Diamond Crystal, weigh another brand to exactly 10 oz.
Wednesday, June 1, 2011
Pulpo en Escabeche
Hi all,
I recently pickled some octopus and there was a call for the recipe, so I thought I'd post my source, from the incomparable Diana Kennedy's militantly authentic The Art of Mexican Cooking (p. 199). The flavor is wonderful, and the presentation is absolutely show-stopping -- tiny purple-pink baby octopi, their little tentacles curled up by the cooking, mottled with black ink spots and set off by green peppers and surrounded by the scents of vinegar and onions and Mexican oregano. I served them as appetizers, straight from the pickle (as Kennedy suggests), but they would look wonderful slightly warmed and served over white rice.
The Recipe:
4 tablespoons fruity olive oil
2 pounds cleaned octopus*
4 garlic cloves, peeled and roughly chopped
sea salt to taste
1 large white onion, cut into thin rings
1 small green bell paper, seeds and veins removed, diced
1 teaspoon crumbled oregano, Yucatecan if possible [I subbed Pueblan oregano.]
3 California bay leaves, roughly broken up [or add a fourth European bay leaf]
1/4 teaspoon coarsely ground black pepper
4 chiles güeros or Fresno or wax chiles, charred [over a gas burner or under a broiler, turning regularly] and kept whole, unpeeled [I used Hungarian.]
1 cup mild vinegar [Pineapple's most traditional. I used white, though I think cider would have improved it.
Heat the olive oil in a heavy pan, add the octopus pieces and garlic, sprinkle with salt, and toss, almost stir frying, for about 5 minutes. [I might have overdone this step slightly, as I was using very small octopi, which I kept whole, on which see note below. A mere minute or two might have been better.] The octopus should be tender but al dente. Transfer half the octopus and juice to a small, deep enamel or stainless-steel pan. Cover with half the onion rings, the green pepper, half the oregano, and the bay leaves. Cover with the rest of the octopus and the remaining ingredients, and continue simmering, covered for about 10 minutes. Taste for salt and set aside for at least 2 hours or overnight.
*A note on cleaning octopus: I'm really not clear on the best way to do this (though I imagine there are YouTube videos to e, but the three main points seem to be: 1) remove the ink sac and organs from the tubular "head" space (this was already done on the octopi I purchased from Pete's Fresh Market on Cermak, just west of Western, 2) dig out the hard beak from it's mouth hole on its bottom, and 3) dig out / slice off the eyes. I tried to keep the little critters as whole as possible for presentation's sake. Kennedy stresses the importance of obtaining octopi that weigh less than a pound a piece -- mine weighed in at only a few ounces a pop.
I recently pickled some octopus and there was a call for the recipe, so I thought I'd post my source, from the incomparable Diana Kennedy's militantly authentic The Art of Mexican Cooking (p. 199). The flavor is wonderful, and the presentation is absolutely show-stopping -- tiny purple-pink baby octopi, their little tentacles curled up by the cooking, mottled with black ink spots and set off by green peppers and surrounded by the scents of vinegar and onions and Mexican oregano. I served them as appetizers, straight from the pickle (as Kennedy suggests), but they would look wonderful slightly warmed and served over white rice.
The Recipe:
4 tablespoons fruity olive oil
2 pounds cleaned octopus*
4 garlic cloves, peeled and roughly chopped
sea salt to taste
1 large white onion, cut into thin rings
1 small green bell paper, seeds and veins removed, diced
1 teaspoon crumbled oregano, Yucatecan if possible [I subbed Pueblan oregano.]
3 California bay leaves, roughly broken up [or add a fourth European bay leaf]
1/4 teaspoon coarsely ground black pepper
4 chiles güeros or Fresno or wax chiles, charred [over a gas burner or under a broiler, turning regularly] and kept whole, unpeeled [I used Hungarian.]
1 cup mild vinegar [Pineapple's most traditional. I used white, though I think cider would have improved it.
Heat the olive oil in a heavy pan, add the octopus pieces and garlic, sprinkle with salt, and toss, almost stir frying, for about 5 minutes. [I might have overdone this step slightly, as I was using very small octopi, which I kept whole, on which see note below. A mere minute or two might have been better.] The octopus should be tender but al dente. Transfer half the octopus and juice to a small, deep enamel or stainless-steel pan. Cover with half the onion rings, the green pepper, half the oregano, and the bay leaves. Cover with the rest of the octopus and the remaining ingredients, and continue simmering, covered for about 10 minutes. Taste for salt and set aside for at least 2 hours or overnight.
*A note on cleaning octopus: I'm really not clear on the best way to do this (though I imagine there are YouTube videos to e, but the three main points seem to be: 1) remove the ink sac and organs from the tubular "head" space (this was already done on the octopi I purchased from Pete's Fresh Market on Cermak, just west of Western, 2) dig out the hard beak from it's mouth hole on its bottom, and 3) dig out / slice off the eyes. I tried to keep the little critters as whole as possible for presentation's sake. Kennedy stresses the importance of obtaining octopi that weigh less than a pound a piece -- mine weighed in at only a few ounces a pop.
Monday, January 3, 2011
Boeuf à la Bench
Beef Braised with Onions, Mushrooms, and Sino-Franco Flavors
yield: Makes 4 servings
active time: 15 min
total time: 2 3/4 hr
Ingredients
• 1 (2-lb) well-marbled boneless beef chuck pot roasts (1 1/2 inches thick)
Rub:
• 1 teaspoons ground ginger
• 1 tsp. cinnamon,
• 2 tsp. ground all spice
• 1/2 tsp. ground cloves
• 1 tsp. grated nutmeg
• 2 tsp. ground coriander
• 1 tsp. ground sichuan peppercorns (toasted, ideally; you may need to grind them in a mortar and pestle, or, failing that, a bowl and a glass)
• 1 tsp. salt
• 1 tsp ground black pepper
• 1 lb onions, halved lengthwise, then thinly sliced lengthwise (4 cups)
• 1 lb mushrooms, in 1/8th inch slices
• 6 large garlic cloves, finely chopped
• 2 star anise rounds
• 4 dried facing-sunward chiles (Chiles de arbol might be substituted.)
Put oven rack in middle position and preheat oven to 400°F.
Pat meat dry. Stir together spices for rub in a bowl and rub all over meat.
Spread half of the anise, half of the chiles, half of onions, and half of garlic in a dutch oven and arrange meat on top. Spread remaining anise, chiles, onions, and garlic over meat. Tightly cover dutch oven with foil and roast, turning meat over after 1 hour, until meat is very tender, about 2 1/2 hours total.
Skim fat from pan juices. Slice meat across the grain and serve with onions, mushrooms and pan juices.
Note: Flavor improves with a day or two in the fridge.
[Adapted from Gourmet's November 2005 recipe for Braised Beef and Onions.]
yield: Makes 4 servings
active time: 15 min
total time: 2 3/4 hr
Ingredients
• 1 (2-lb) well-marbled boneless beef chuck pot roasts (1 1/2 inches thick)
Rub:
• 1 teaspoons ground ginger
• 1 tsp. cinnamon,
• 2 tsp. ground all spice
• 1/2 tsp. ground cloves
• 1 tsp. grated nutmeg
• 2 tsp. ground coriander
• 1 tsp. ground sichuan peppercorns (toasted, ideally; you may need to grind them in a mortar and pestle, or, failing that, a bowl and a glass)
• 1 tsp. salt
• 1 tsp ground black pepper
• 1 lb onions, halved lengthwise, then thinly sliced lengthwise (4 cups)
• 1 lb mushrooms, in 1/8th inch slices
• 6 large garlic cloves, finely chopped
• 2 star anise rounds
• 4 dried facing-sunward chiles (Chiles de arbol might be substituted.)
Put oven rack in middle position and preheat oven to 400°F.
Pat meat dry. Stir together spices for rub in a bowl and rub all over meat.
Spread half of the anise, half of the chiles, half of onions, and half of garlic in a dutch oven and arrange meat on top. Spread remaining anise, chiles, onions, and garlic over meat. Tightly cover dutch oven with foil and roast, turning meat over after 1 hour, until meat is very tender, about 2 1/2 hours total.
Skim fat from pan juices. Slice meat across the grain and serve with onions, mushrooms and pan juices.
Note: Flavor improves with a day or two in the fridge.
[Adapted from Gourmet's November 2005 recipe for Braised Beef and Onions.]
Tuesday, June 2, 2009
The Imagery Debate, Pt. 2 - Kosslyn v. Pylyshyn
Following Pylyshyn's paper, many psychologists came to the defense of mental imagery, most notably Stephen M. Kosslyn. Over the following three decades, Kosslyn and Pylyshyn (as well as allies on both sides) would conduct a debate over the relationship between propositional and imagistic content in mental processes. Though both sides presently declare themselves victors (of course), the reality of the matter is somewhat hazier, but also more interesting and more fruitful, than a single set of laurels could indicate.
The debate was conducted on many fronts simultaneously and involved many innovative experiments. To cite just one example, Kosslyn and his collaborator Steven Schwartz responded to Pylyshyn's fears that homuncular sensorium implied a logical paradox by creating a computer simulation that incorporated internal representations of imagery from which propositional content was, in turn, derived. Doing so eliminated Pylyshyn's in-principle objections to the infinitely regressive nature of homunculi. Those interested in more detail and other experimnets are encouraged to consult either Michael Tye's The Imagery Debate or Howard Gardner's The Mind's New Science. Instead, I want to approach the debate with some imagery of my own.
In order to do so, I consulted the bibliography of a major, late-career book on the debate by both Pylyshyn (Seeing and Visualizin: It's Not What You Think, 2001) and Kosslyn (Image and Brain: The Resolution of the Imagery Debate). I then noted every example of either author citing a paper of which he was himself the lead author. Because Pylyshyn is somewhat less prolific than Kosslyn (a function of his running a lab at Harvard), and also because Kosslyn, by mid-career was almost always lead author, whereas Pylyshyn often granted that honor to his frequent co-author and active image debate participant Jerry Fodor, I include Fodor-Pylyshyn collaborations as well. I then dumped the each set of papers into a single .pdf which I in turn fed into IBM's free text visualizing software Many Eyes. I have included links to bibliographies for each author that I compiled in the comments feed.
I first created a wordle, which creates a visual representation of the most common words in a body of texts. Doing so produced the following image for Pylyshyn's work:
Compare that with the wordle of Kosslyn's work:
The first thing one notices is that Kosslyn uses "image," "images," and "imagery" considerably more often than Pylyshyn, but this is perhaps to be expected. Pylyshyn wanting to prove that mental imagery doesn't exist, so one can hardly expect him to use the term as much as Kosslyn, who is defending its existence. The more interesting aberration is the prominent position that "hemisphere" has in Kosslyn's wordle, whereas it does not appear in Pylyshyn's at all. Closer inspection (using Many Eyes' Word Tree Generator) revealed that Kosslyn used the term 521 times, or once every 107 words (an absurdly high rate). By contrast, Pylyshyn uses the word exactly once in the 146,810 words of his articles. "Come, Watson!" I thought. "The game is afoot."
So what's so important about hemispheres for Kosslyn, and why is Pylyshyn ignoring them? It turns out that much of the detail of Kosslyn's work that focuses on how the brain structures the relationship between imagery and propositional content involves identifying processing that occurs primarily in the left hemisphere (where more propositional processing happens) or in the right (where more imagery processing occurs). For Pylyshyn, the distinction is moot because images are ultimately reducible to computation anyway. For him, Kosslyn's distinction merely shows where the epiphenomenon is generated. This distinction arose, I think, because Pylyshyn's belief (following Chomsky and Fodor) that the mind need necessarily be computational, led him to be less interested in empirical evidence about the brain itself.
Interestingly, Kosslyn credits Pylyshyn's critiques with urging him and his collaborators to refine their understanding of how the relationship between these subsystems were structured. Ventriloquizing Pylyshyn, Kosslyn pondered "Does the claim that image representations are depictive imply various paradoxes and incoherencies?" He responds that
Evidence of this may perhaps be seen in each author's continuing relationship with the iamagery debate itself. Kosslyn has, since the early 90s, stopped defending his approach and concentrated on elaborating its details, whereas Pylyshyn continued to make the case well into the 00s. Perhaps the most telling sign of how the debate was conducted comes again from Many Eyes. Returning to the Word Trees, I checked to see in what contexts each author mentioned the other. Here are Kosslyn's references to Pylyshyn:

You'll notice that of Kosslyn's 60 uses of the Pylyshyn's name, he most commonly references his antagonist in a bibliographic setting, as indicated by the commonness of his name being followed by a common and his initials, but that the lower part of the tree is full of words indicating that Kossylyn is rehearsing one of Pylsyhyn's arguments (e.g. "argues that," "wants," "claims that," "suggests"). Now consider Pylyshyn's references to Kosslyn:

Pylyshyn mentions Kosslyn 138 times, almost twice as often as the other way around, but almost exclusively in a bibliographic context. One possible reason for this is that Kosslyn is, indeed, a more prolific author (again, a function of his running a research lab). This does not, however, explain the absence of contextual references. My suggestion is that this absence may be indicative of Pylyshyn's unwillingess to adapt his model to the criticism of his interlocutors. By excluding them from the explicit discussion, he does not need to frame the debate as a debate, but merely as revealed knowledge. He can occupy a set conceptual ground without appearing entrenched.
Intriguingly, Kosslyn, in recent years, has focused on digital visual communication. Though he has not turned to text visualization software like Many Eyes, he has analyzed strategies for presenting information in different graphical formats, most notably PowerPoint. The move toward engineering and toward applied uses for theory developed during the imagery debate also indicates that the underlying field has stabilized sufficiently to serve as a foundation for new structures.
At present, the debate has moved away from treatments of pure imagery and toward inquiries into more holistic models of perception. This is partly a function of improved research methods, such as head-mounted eye-tracking equipment and improved fMRI technology, partly a function of theoretical refinements, such as attempts by connectionist theorists to understand how the brain's massively parallel micro-structure influences its operation or of dynamicists, such as Tim van Gelder, to understand how the fact of mental computations occurring in real-time must constrain theoretical models. At the same time, Artificial Life roboticists such as Rodney Brooks were constructing robots that performed perceptual tasks with insect-level competency and no internal representations and no central processing whatsoever, offering a critique both to Kosslyn's interest in mental imagery and also to Pylyshyn's insistence in a computational model of mind. Meanwhile, an increasing willingness on the part of psychologists to pay attention to first-hand accounts of phenomenological experience has led to groundbreaking research on subjects ranging from synesthesia (as in the work of Richard Cytowic) to accounts of agency (as in the work of Evan Thompson). This drive toward more holistic descriptions of perceptions is seen also in the work of Alva Noë, who argues that perception, and indeed cognition more generally, must be understood as a fully embodied process; an argument extended to include extra-bodily technologies by philosophers like Andy Clark.
Our understanding of how vision functions is by no means finalized, and by reflecting back on the imagery debate, and the the terms by which it was conducted, we may be able to make more fruitful the debates that currently occupy researchers. The rivalry between Pylyshyn and Kosslyn was one of the most productive in the history of cognitive science, leading to voluminous new research and considerably refined theoretical understanding. Part of the reason for this was the very fact of its being framed as a debate, and part was the different disciplinary approaches that each party brought to the table. Though Kosslyn's position may have proved more influential eventually, it likely could not have done so without Pylyshyn's ongoing critique. In the end, it demonstrates a rivalry can, when conducted well, prove as successful as a collaboration.
The debate was conducted on many fronts simultaneously and involved many innovative experiments. To cite just one example, Kosslyn and his collaborator Steven Schwartz responded to Pylyshyn's fears that homuncular sensorium implied a logical paradox by creating a computer simulation that incorporated internal representations of imagery from which propositional content was, in turn, derived. Doing so eliminated Pylyshyn's in-principle objections to the infinitely regressive nature of homunculi. Those interested in more detail and other experimnets are encouraged to consult either Michael Tye's The Imagery Debate or Howard Gardner's The Mind's New Science. Instead, I want to approach the debate with some imagery of my own.
In order to do so, I consulted the bibliography of a major, late-career book on the debate by both Pylyshyn (Seeing and Visualizin: It's Not What You Think, 2001) and Kosslyn (Image and Brain: The Resolution of the Imagery Debate). I then noted every example of either author citing a paper of which he was himself the lead author. Because Pylyshyn is somewhat less prolific than Kosslyn (a function of his running a lab at Harvard), and also because Kosslyn, by mid-career was almost always lead author, whereas Pylyshyn often granted that honor to his frequent co-author and active image debate participant Jerry Fodor, I include Fodor-Pylyshyn collaborations as well. I then dumped the each set of papers into a single .pdf which I in turn fed into IBM's free text visualizing software Many Eyes. I have included links to bibliographies for each author that I compiled in the comments feed.
I first created a wordle, which creates a visual representation of the most common words in a body of texts. Doing so produced the following image for Pylyshyn's work:
Compare that with the wordle of Kosslyn's work:
The first thing one notices is that Kosslyn uses "image," "images," and "imagery" considerably more often than Pylyshyn, but this is perhaps to be expected. Pylyshyn wanting to prove that mental imagery doesn't exist, so one can hardly expect him to use the term as much as Kosslyn, who is defending its existence. The more interesting aberration is the prominent position that "hemisphere" has in Kosslyn's wordle, whereas it does not appear in Pylyshyn's at all. Closer inspection (using Many Eyes' Word Tree Generator) revealed that Kosslyn used the term 521 times, or once every 107 words (an absurdly high rate). By contrast, Pylyshyn uses the word exactly once in the 146,810 words of his articles. "Come, Watson!" I thought. "The game is afoot."So what's so important about hemispheres for Kosslyn, and why is Pylyshyn ignoring them? It turns out that much of the detail of Kosslyn's work that focuses on how the brain structures the relationship between imagery and propositional content involves identifying processing that occurs primarily in the left hemisphere (where more propositional processing happens) or in the right (where more imagery processing occurs). For Pylyshyn, the distinction is moot because images are ultimately reducible to computation anyway. For him, Kosslyn's distinction merely shows where the epiphenomenon is generated. This distinction arose, I think, because Pylyshyn's belief (following Chomsky and Fodor) that the mind need necessarily be computational, led him to be less interested in empirical evidence about the brain itself.
Interestingly, Kosslyn credits Pylyshyn's critiques with urging him and his collaborators to refine their understanding of how the relationship between these subsystems were structured. Ventriloquizing Pylyshyn, Kosslyn pondered "Does the claim that image representations are depictive imply various paradoxes and incoherencies?" He responds that
Addressing this set of issues was no mean task. My strategy was to take advantage of the abundant evidence that imagery piggybacked upon a a theory of high-level visual perception. This approach allowed my colleagues and I [sic] to develop theories of specific processing subsystems, and helped us to hypothesize where these subsystems are implemented in the brain. (Image and Brain 406)Kosslyn, it seems, attributes much of his own successto having been prodded by the Pylyshyn the gadfly philosopher (Kosslyn, btw, is currently a dean at Harvard where he also runs an eponymous research lab and holds a chair dedicated to William James; the prodding seems to have worked quite well). More importantly, though, his research platform has proved more influential than Pylyshyn's, though the latter author remains highly respected as well, having recently won France's prestigious Jean Nicod Prize.
Evidence of this may perhaps be seen in each author's continuing relationship with the iamagery debate itself. Kosslyn has, since the early 90s, stopped defending his approach and concentrated on elaborating its details, whereas Pylyshyn continued to make the case well into the 00s. Perhaps the most telling sign of how the debate was conducted comes again from Many Eyes. Returning to the Word Trees, I checked to see in what contexts each author mentioned the other. Here are Kosslyn's references to Pylyshyn:
You'll notice that of Kosslyn's 60 uses of the Pylyshyn's name, he most commonly references his antagonist in a bibliographic setting, as indicated by the commonness of his name being followed by a common and his initials, but that the lower part of the tree is full of words indicating that Kossylyn is rehearsing one of Pylsyhyn's arguments (e.g. "argues that," "wants," "claims that," "suggests"). Now consider Pylyshyn's references to Kosslyn:
Pylyshyn mentions Kosslyn 138 times, almost twice as often as the other way around, but almost exclusively in a bibliographic context. One possible reason for this is that Kosslyn is, indeed, a more prolific author (again, a function of his running a research lab). This does not, however, explain the absence of contextual references. My suggestion is that this absence may be indicative of Pylyshyn's unwillingess to adapt his model to the criticism of his interlocutors. By excluding them from the explicit discussion, he does not need to frame the debate as a debate, but merely as revealed knowledge. He can occupy a set conceptual ground without appearing entrenched.
Intriguingly, Kosslyn, in recent years, has focused on digital visual communication. Though he has not turned to text visualization software like Many Eyes, he has analyzed strategies for presenting information in different graphical formats, most notably PowerPoint. The move toward engineering and toward applied uses for theory developed during the imagery debate also indicates that the underlying field has stabilized sufficiently to serve as a foundation for new structures.
At present, the debate has moved away from treatments of pure imagery and toward inquiries into more holistic models of perception. This is partly a function of improved research methods, such as head-mounted eye-tracking equipment and improved fMRI technology, partly a function of theoretical refinements, such as attempts by connectionist theorists to understand how the brain's massively parallel micro-structure influences its operation or of dynamicists, such as Tim van Gelder, to understand how the fact of mental computations occurring in real-time must constrain theoretical models. At the same time, Artificial Life roboticists such as Rodney Brooks were constructing robots that performed perceptual tasks with insect-level competency and no internal representations and no central processing whatsoever, offering a critique both to Kosslyn's interest in mental imagery and also to Pylyshyn's insistence in a computational model of mind. Meanwhile, an increasing willingness on the part of psychologists to pay attention to first-hand accounts of phenomenological experience has led to groundbreaking research on subjects ranging from synesthesia (as in the work of Richard Cytowic) to accounts of agency (as in the work of Evan Thompson). This drive toward more holistic descriptions of perceptions is seen also in the work of Alva Noë, who argues that perception, and indeed cognition more generally, must be understood as a fully embodied process; an argument extended to include extra-bodily technologies by philosophers like Andy Clark.
Our understanding of how vision functions is by no means finalized, and by reflecting back on the imagery debate, and the the terms by which it was conducted, we may be able to make more fruitful the debates that currently occupy researchers. The rivalry between Pylyshyn and Kosslyn was one of the most productive in the history of cognitive science, leading to voluminous new research and considerably refined theoretical understanding. Part of the reason for this was the very fact of its being framed as a debate, and part was the different disciplinary approaches that each party brought to the table. Though Kosslyn's position may have proved more influential eventually, it likely could not have done so without Pylyshyn's ongoing critique. In the end, it demonstrates a rivalry can, when conducted well, prove as successful as a collaboration.
Labels:
Cognitive Science,
Digital History,
Mental Imagery
Monday, June 1, 2009
The Imagery Debate, Pt. 1 - Background
The history of the theorization of mind can be described as a long list of analogies to different technologies. "Aristotle had a wax tablet theory of memory, . . . Leibniz saw the universe as clockworks, [and] Freud used a hydraulic model of libido flowing through the system [coupled with a] telephone-switchboard model of intelligence" (Rumelhart 205). By the 1950s and 60s, early efforts in the Artificial Intelligence community had borne enough fruit that researchers increasingly began to favor analogies to digital computers for the bases of their models. Doing so produced great strides in the psychological community and jumpstarted what has become known as the "Cognitive Revolution".
One of the most significant developments that early cognitive scientists argued for was the rejection of the conceit held by most working within behavioral psychology (then the most prominent research paradigm operating in the United States) that the mind is a blank slate. In particular, Noam Chomsky's veritable trouncing of B. F. Skinner's Verbal Behavior set the tone for much of the research that was to follow. The existence of his proposed universal "generative grammar," Chomsky argued, required as a corollary a module in the brain that could produce such universal structures. Later researchers -- particularly the philosopher Jerry Fodor -- extended this assertion of modularity to cover the brain as a whole, increasing the analogy to different hardware structures in a computer. In order for their information-processing metaphor to work, researchers claimed, the brain had to run on an underlying mathematical descriptions such as the binary code that forms the basis of computer software. Fodor prominently argued for this position in his influential 1975 monograph, The Language of Thought.
Initially, this research paradigm proved extremely successful, but at the same time, it quickly became clear that certain mental phenomena were difficult to describe in its terms. In particular, the computer researcher and philosopher Zenon W. Pylyshyn argued that recent refinements of cognitive theory required psychologists to dramatically rethink their understanding of mental imagery. In his debate-provoking 1973 article "What the Mind's Eye Tells the Mind's Brain," Pylyshyn claimed that the new research paradigm revealed imagery to be merely epiphenomenal. That is to say, mental imagery has a phenomenological or experienced reality, but it is inessential, a mere side effect of "invisible" subconscious processing to which the mind cannot be made privy. He argued that mental imagery bore roughly the same relationship to the "real" mental process as the images on a computer screen bear to the computations that occur within a computer processor.
He presented two primary arguments for this position. In the first case, he argued, those who believed in the "reality" of mental imagery implicitly reinstated the Cartesian dualism between mind and body. This position was a reaction to then-recent ground-breaking vision research, most notably the incredibly influential 1959 paper (which inspired the title of Pylyshyn's), "What the Frog's Eye Tells the Frog's Brain," in which a team of international researchers led by the MIT psychologist Jerome Lettvin showed that much important vision processing in a frog actually took place along in the frog's eye. Cells on the retina that responded to small, fast moving objects (which Lettvin et al. deemed "bug detectors") triggered the response of attacking the triggering object with the frog's tongue. The fact that the frog's eye and not the frog's brain seemed to do the work of identifying its perceptual object showed that researchers could advance mechanistic descriptions of cognitive systems that could also account for where meaning come from without needing also to posit some sort of non-mechanical "mind" which attributed meaning and made judgments. This research was then replicated (in somewhat less bug-centered terms) in many other animals including humans.
Pylyshyn claimed that those who believed in the reality of mental imagery gave up the ground that Lettvin and his colleagues had gained. He saw mental imagery as a return to dualism, arguing that the mind showed no sign of containing an additional "eye" with which to view the represented image and also reiterating the philosopher's classical critique of dualism: that it implied an infinite regression of nested homunculi. After all, if the brain required an interior structure to view the represented image, then that internal structure presumably required an observing internal structure as well, which in turn required, ad infinitum.
Pylyshyn's other major claim was that the dichotomy then posited by many vision researchers that mental content was either propositional or perceptual was too rigid. Indeed, he claimed, since perceptual content was ultimately reducible to propositional content, the distinction was meaningless. The renowned British opera director, Jonathan Miller, who was originally trained as a neurologist, made a similar (albeit softened) claim some years later:
Pylyshyn's was the first salvo in what would become a proplonged debate over the nature of mental imagery.
[Sources appear in the Comments feed]
One of the most significant developments that early cognitive scientists argued for was the rejection of the conceit held by most working within behavioral psychology (then the most prominent research paradigm operating in the United States) that the mind is a blank slate. In particular, Noam Chomsky's veritable trouncing of B. F. Skinner's Verbal Behavior set the tone for much of the research that was to follow. The existence of his proposed universal "generative grammar," Chomsky argued, required as a corollary a module in the brain that could produce such universal structures. Later researchers -- particularly the philosopher Jerry Fodor -- extended this assertion of modularity to cover the brain as a whole, increasing the analogy to different hardware structures in a computer. In order for their information-processing metaphor to work, researchers claimed, the brain had to run on an underlying mathematical descriptions such as the binary code that forms the basis of computer software. Fodor prominently argued for this position in his influential 1975 monograph, The Language of Thought.
Initially, this research paradigm proved extremely successful, but at the same time, it quickly became clear that certain mental phenomena were difficult to describe in its terms. In particular, the computer researcher and philosopher Zenon W. Pylyshyn argued that recent refinements of cognitive theory required psychologists to dramatically rethink their understanding of mental imagery. In his debate-provoking 1973 article "What the Mind's Eye Tells the Mind's Brain," Pylyshyn claimed that the new research paradigm revealed imagery to be merely epiphenomenal. That is to say, mental imagery has a phenomenological or experienced reality, but it is inessential, a mere side effect of "invisible" subconscious processing to which the mind cannot be made privy. He argued that mental imagery bore roughly the same relationship to the "real" mental process as the images on a computer screen bear to the computations that occur within a computer processor.
He presented two primary arguments for this position. In the first case, he argued, those who believed in the "reality" of mental imagery implicitly reinstated the Cartesian dualism between mind and body. This position was a reaction to then-recent ground-breaking vision research, most notably the incredibly influential 1959 paper (which inspired the title of Pylyshyn's), "What the Frog's Eye Tells the Frog's Brain," in which a team of international researchers led by the MIT psychologist Jerome Lettvin showed that much important vision processing in a frog actually took place along in the frog's eye. Cells on the retina that responded to small, fast moving objects (which Lettvin et al. deemed "bug detectors") triggered the response of attacking the triggering object with the frog's tongue. The fact that the frog's eye and not the frog's brain seemed to do the work of identifying its perceptual object showed that researchers could advance mechanistic descriptions of cognitive systems that could also account for where meaning come from without needing also to posit some sort of non-mechanical "mind" which attributed meaning and made judgments. This research was then replicated (in somewhat less bug-centered terms) in many other animals including humans.
Pylyshyn claimed that those who believed in the reality of mental imagery gave up the ground that Lettvin and his colleagues had gained. He saw mental imagery as a return to dualism, arguing that the mind showed no sign of containing an additional "eye" with which to view the represented image and also reiterating the philosopher's classical critique of dualism: that it implied an infinite regression of nested homunculi. After all, if the brain required an interior structure to view the represented image, then that internal structure presumably required an observing internal structure as well, which in turn required, ad infinitum.
Pylyshyn's other major claim was that the dichotomy then posited by many vision researchers that mental content was either propositional or perceptual was too rigid. Indeed, he claimed, since perceptual content was ultimately reducible to propositional content, the distinction was meaningless. The renowned British opera director, Jonathan Miller, who was originally trained as a neurologist, made a similar (albeit softened) claim some years later:
I recently went to Cambridge to deliver a lecture, and in my apprehension I had rehearsed my arrival in a series of increasingly alarming dreams. About four nights before, I dreamed that I was parking my car in what I knew to be Trinity Lane, although it was from its visible appearance also a narrow side street behind the Santo in Padua. At the end of the lane, I could see the master of Trinity waving hospitably at me, and he was the actor Michael Horden. Now there was no sense in my dream that Horden, the actor, was playing the part, or that he had popped in between the election or anyone else's hopes. As far as I was concerned in the dream, Horden and the master were one and the same, in spite of the fact that I also knew, simultaneously, that the master and Sir Andrew Huxley were identical. The rest of the dream was so humiliating, for which I blame neither Sir Michael nor Sir Andrew, that I shall draw a veil over it. (198)Miller's point is that his mental image of Michael Horden also contained the propositional content "master," thus blending the two categories. This, it must be stressed, is a softer claim than Pylyshyn's, Miller not being interested in proving the epiphenomenality of images, but it operates along the same vectors.
Pylyshyn's was the first salvo in what would become a proplonged debate over the nature of mental imagery.
[Sources appear in the Comments feed]
Labels:
Cognitive Science,
Digital History,
Mental Imagery
Monday, April 27, 2009
The Historiography of Information
Tracking the historiography of information is complicated by a number of factors. First, the term lacks a single, accepted meaning. Several definitions, some quite technical, have been advanced since the word’s derivation from the verb to inform (originally to enform) during the 14th century, but these meanings have not always proved wholly commensurable (OED). Second, according to many of these definitions, information has existed in one form or another far back in human history, typically well prior to the coinage of the term. In some cases, particularly as it is used in the sciences, the term is essentially a-historical, even taking on metaphysical meaning in the writing of some physicists and computer scientists. A historiography of history should, therefore, include investigations both into information itself, and into changing theories of information, the distinction between which is sometimes hazy. Third, the term has currency in many spheres and disciplines, applying potentially to philosophy, pure mathematics, sciences ranging from physics and to anthropology, media and communications studies, the tech sector, and, of course, common parlance. Its wide-spread application is both what makes the concept so powerful (used as a common referent, it can provide a conceptual, mathematical, and terminological common ground for disciplines that might otherwise be unable to communicate) as well as what makes the concept so frustrating and potentially dangerous (its application across disciplines can serve to erase important differences in how the term functions in various language games, causing stymieing confusion or ill-founded actions).
Prior to the 20th c., the act of informing had always required a receptive audience. Information enformed the form of the receiver’s mind much as an envelope enveloped a missive. But at some point in the mid-20th c., a new sense developed, one that re-defined the term abstractly, as that which is conveyed by a medium, making no reference to a receiving mind. Information was instead a formal or organizational scheme that was instantiated in a particular physical medium. Several historians have pointed to two documents in particular, Norbert Wiener’s Cybernetics (1948 / 1961) and Claude Shannon and Warren Weaver’s The Mathematical Theory of Communication (1949) as occupying an originating this new understanding of information. The historical number and range of histories that find their beginning here – N. Katherine Hayles’s How We Became Posthuman (1999), an investigation of technological critiques of liberal humanism in contemporary literature; Christian von Baeyer’s Information (2003), a history of the concept of information in the 20th century; and Fred Turner’s From Counterculture to Cyberculture (2006), a tracking of the influence of 60s countercultural figures and thought in the contemporary tech sector, all begin with one or both of the above texts – the diversity of these histories indicates the influence that these two texts had on how people conceived of information. This is, of course, too great a simplification. The OED points out precursors to this abstracted notion of information as far back as 1927, but it seems safe to say that the work of Wiener and of Shannon and Weaver codified and popularized the new notion.
It is important to realize as well that this new notion of information was not simply a process of abstraction (though it was that), but that it also contained more-or-less explicit historiographic element. In particular, Cybernetics argues for information a new heuristic for understanding history. Weiner calls his thesis “neither unfamiliar nor new,” arguing only that his work is the first to codify such assumptions about information mathematically, and even acknowledging that such rigorous codification has its limitations and that there remains “much which we must leave, whether we like it or note, to the un-‘scientific,’ narrative method of the professional historian” (155, 164). Shannon, and particularly Weaver, make it clear that they believe that their abstracted notion of information, one that they explicitly divorce from meaning, could be applicable beyond the realm of telephone network organization for which it was written (99, 114-17).
Indeed, several histories written well before this period seem to foreshadow the informational heuristic. In particular, William Godwin, both in his Enquiry Concerning Political Justice (particularly the more radical 1793 edition) and in his historical biography, Life of Geoffrey Chaucer (1804), show an interest in tracking communications networks and how their structuration led to the propagation of certain ideas. Godwin’s line of thinking was likely influenced both by connection with the community of Rational Dissenters, a Christian sect that argued that the Kingdom of Heaven would be realized when, by conversing with fellow believers, humanity gradually improved its understanding of God’s will and through his familiarity with major players in the French Revolution (Philps passim). Such an approach to history also finds roots in 19th century histories of the railroads, such as Michael Angelo Garvey’s The Silent Revolution (1852). Garvey’s book is notable, too, because (like Godwin’s Political Justice) such networks become the means of achieving a utopian future, a theme that will re-occur later in the work of information-inspired futurists.
Information theory’s early technical articulation, as well as its antecedents in railroad history, have perhaps led to the typically materialist bent of most histories of information. Of particular note is the work of one of the most noted 20th century railroad historians, Harold A. Innis, who turned, by the end of his career, away from the study of transportation systems and to that of communications systems. Composed shortly before Wiener and Shannon and Weaver’s texts, Innis’s The Bias of Communication (1951) tracked the way communication networks inform broad historical trends from ancient Egypt up to the present day. His lectures cum essays argued that technologies of information storage have produced, such as the development of writing or the printing press, have led to a dangerous biases in our understanding of the world. In particular, he suggested that the rise of techno-science which such networks enabled led to dehumanization which might best be remedied by a new re-emphasis of oral communication (a belief that bears a curious resemblance to that of Godwin and the Rational Dissenters). Wiener’s The Human Use of Human Beings, published the same year, dealt with similar themes but treated them explicitly in terms of information theory as he had elaborated it. Equally materialistic, Wiener explicitly analogized communications networks in society to those in industrial machinery much as Innis implicitly analogized communications networks to railroads. Ten years later, Innis’s acolyte, Marshall McLuhan would further popularize materialist heuristics for understanding social phenomena, most notably in his Understanding Media (1964), in which he argued (in a move that mimicked Shannon and Weaver’s divorce of information from content) that it is not the content of a message that matters, but the medium that carries it, a notion he had the savvy to phrase in the advertisement-like slogan, “The Medium is the Message.”
Such interest in communication networks gained increasing specificity and detail in subsequent decades, focusing on specific aspects of different networks. These works deviated from the sometimes radical mediality of McLuhan’s work, but nevertheless maintained a focus on means of communication, even if they occasionally also admitted that the message could itself function as the message. Two example of this are Thomas Streeter’s Selling the Air (1996), which details the rise of “liberal corporatism” led to a broadcast model of radio rather than a peer-to-peer approach as typified ham radio, and Lawrence Lessig’s The History of Ideas (2001), which charts how the interaction between governmental policy and technological approaches to information sharing effect communications networks. Similarly, information theory serves as a heuristic for evolutionary anthropologist Kim Sterelny’s The Third Chimpanzee (forthcoming), which takes advantage of the broad applicability of information theory to create a common discourse between evolutionary biology, archeological, and anthropology in which he argues that the pivotal innovation that led humans to break off from other primates was our ability to use cultural forces to structure learning environments in which high-bandwidth information about tool-use could be passed down through generations.
Such focus on communication media was only the most obvious use of information by historians. As different disciplines began to take advantage of the concept’s robust applicability, and as engineers began using information theory to construct increasingly powerful computers, electronics, and telecommunications devices, the heuristic spread throughout the discourse of the sciences. The most notable example of this is probably James D. Watson and Francis Crick, who, by describing the structure of DNA, showed that the human reproductive system could be described informationally. Similar innovations in physics, most notably the rise of computational physics, which argues that the entire physical universe can be described as a massive computation and of the increasing use of computer modeling in the sciences have led at some physicists and historians of science (notably John Archibald Wheeler, Stephen Wolfram and Hans Christian von Baeyer) to argue that information comprises a sort of universal language in which the entire universe is describable.
Much of the debate surrounding information at present revolves around its use as a predictive heuristic. Since Edward Lorenz’s pioneering use of mathematical models to predict weather in the 60s, the sciences have increasingly come to use computer models to describe nonlinear systems. Such models can be thought of as informational histories of the future, and their demonstrable predictive power is evidence of their productivity. Such innovations have led some information scientists to declare that we are, to cite the title of Stephen Wolfram’s recent book, engaged in A New Kind of Science (2002). The presumed universality of such predictive techniques has proved particularly alluring to futurists, such as Ray Kurzweil, whose The Singularity Is Near (2005) argues that information technology will soon become hyper-intelligent and propel humanity into a paradisiacal world of infinite informational (and sensorial) satisfaction. At the same time, many information theorists argue that such future histories are deeply flawed (the technical term is cockamamie) and that informational heuristics entail non-trivial limitations (see, e.g. Wimsatt, Re-Engineering Philosophy for Limited Beings (2007)).
[Works Cited in comments]
Prior to the 20th c., the act of informing had always required a receptive audience. Information enformed the form of the receiver’s mind much as an envelope enveloped a missive. But at some point in the mid-20th c., a new sense developed, one that re-defined the term abstractly, as that which is conveyed by a medium, making no reference to a receiving mind. Information was instead a formal or organizational scheme that was instantiated in a particular physical medium. Several historians have pointed to two documents in particular, Norbert Wiener’s Cybernetics (1948 / 1961) and Claude Shannon and Warren Weaver’s The Mathematical Theory of Communication (1949) as occupying an originating this new understanding of information. The historical number and range of histories that find their beginning here – N. Katherine Hayles’s How We Became Posthuman (1999), an investigation of technological critiques of liberal humanism in contemporary literature; Christian von Baeyer’s Information (2003), a history of the concept of information in the 20th century; and Fred Turner’s From Counterculture to Cyberculture (2006), a tracking of the influence of 60s countercultural figures and thought in the contemporary tech sector, all begin with one or both of the above texts – the diversity of these histories indicates the influence that these two texts had on how people conceived of information. This is, of course, too great a simplification. The OED points out precursors to this abstracted notion of information as far back as 1927, but it seems safe to say that the work of Wiener and of Shannon and Weaver codified and popularized the new notion.
It is important to realize as well that this new notion of information was not simply a process of abstraction (though it was that), but that it also contained more-or-less explicit historiographic element. In particular, Cybernetics argues for information a new heuristic for understanding history. Weiner calls his thesis “neither unfamiliar nor new,” arguing only that his work is the first to codify such assumptions about information mathematically, and even acknowledging that such rigorous codification has its limitations and that there remains “much which we must leave, whether we like it or note, to the un-‘scientific,’ narrative method of the professional historian” (155, 164). Shannon, and particularly Weaver, make it clear that they believe that their abstracted notion of information, one that they explicitly divorce from meaning, could be applicable beyond the realm of telephone network organization for which it was written (99, 114-17).
Indeed, several histories written well before this period seem to foreshadow the informational heuristic. In particular, William Godwin, both in his Enquiry Concerning Political Justice (particularly the more radical 1793 edition) and in his historical biography, Life of Geoffrey Chaucer (1804), show an interest in tracking communications networks and how their structuration led to the propagation of certain ideas. Godwin’s line of thinking was likely influenced both by connection with the community of Rational Dissenters, a Christian sect that argued that the Kingdom of Heaven would be realized when, by conversing with fellow believers, humanity gradually improved its understanding of God’s will and through his familiarity with major players in the French Revolution (Philps passim). Such an approach to history also finds roots in 19th century histories of the railroads, such as Michael Angelo Garvey’s The Silent Revolution (1852). Garvey’s book is notable, too, because (like Godwin’s Political Justice) such networks become the means of achieving a utopian future, a theme that will re-occur later in the work of information-inspired futurists.
Information theory’s early technical articulation, as well as its antecedents in railroad history, have perhaps led to the typically materialist bent of most histories of information. Of particular note is the work of one of the most noted 20th century railroad historians, Harold A. Innis, who turned, by the end of his career, away from the study of transportation systems and to that of communications systems. Composed shortly before Wiener and Shannon and Weaver’s texts, Innis’s The Bias of Communication (1951) tracked the way communication networks inform broad historical trends from ancient Egypt up to the present day. His lectures cum essays argued that technologies of information storage have produced, such as the development of writing or the printing press, have led to a dangerous biases in our understanding of the world. In particular, he suggested that the rise of techno-science which such networks enabled led to dehumanization which might best be remedied by a new re-emphasis of oral communication (a belief that bears a curious resemblance to that of Godwin and the Rational Dissenters). Wiener’s The Human Use of Human Beings, published the same year, dealt with similar themes but treated them explicitly in terms of information theory as he had elaborated it. Equally materialistic, Wiener explicitly analogized communications networks in society to those in industrial machinery much as Innis implicitly analogized communications networks to railroads. Ten years later, Innis’s acolyte, Marshall McLuhan would further popularize materialist heuristics for understanding social phenomena, most notably in his Understanding Media (1964), in which he argued (in a move that mimicked Shannon and Weaver’s divorce of information from content) that it is not the content of a message that matters, but the medium that carries it, a notion he had the savvy to phrase in the advertisement-like slogan, “The Medium is the Message.”
Such interest in communication networks gained increasing specificity and detail in subsequent decades, focusing on specific aspects of different networks. These works deviated from the sometimes radical mediality of McLuhan’s work, but nevertheless maintained a focus on means of communication, even if they occasionally also admitted that the message could itself function as the message. Two example of this are Thomas Streeter’s Selling the Air (1996), which details the rise of “liberal corporatism” led to a broadcast model of radio rather than a peer-to-peer approach as typified ham radio, and Lawrence Lessig’s The History of Ideas (2001), which charts how the interaction between governmental policy and technological approaches to information sharing effect communications networks. Similarly, information theory serves as a heuristic for evolutionary anthropologist Kim Sterelny’s The Third Chimpanzee (forthcoming), which takes advantage of the broad applicability of information theory to create a common discourse between evolutionary biology, archeological, and anthropology in which he argues that the pivotal innovation that led humans to break off from other primates was our ability to use cultural forces to structure learning environments in which high-bandwidth information about tool-use could be passed down through generations.
Such focus on communication media was only the most obvious use of information by historians. As different disciplines began to take advantage of the concept’s robust applicability, and as engineers began using information theory to construct increasingly powerful computers, electronics, and telecommunications devices, the heuristic spread throughout the discourse of the sciences. The most notable example of this is probably James D. Watson and Francis Crick, who, by describing the structure of DNA, showed that the human reproductive system could be described informationally. Similar innovations in physics, most notably the rise of computational physics, which argues that the entire physical universe can be described as a massive computation and of the increasing use of computer modeling in the sciences have led at some physicists and historians of science (notably John Archibald Wheeler, Stephen Wolfram and Hans Christian von Baeyer) to argue that information comprises a sort of universal language in which the entire universe is describable.
Much of the debate surrounding information at present revolves around its use as a predictive heuristic. Since Edward Lorenz’s pioneering use of mathematical models to predict weather in the 60s, the sciences have increasingly come to use computer models to describe nonlinear systems. Such models can be thought of as informational histories of the future, and their demonstrable predictive power is evidence of their productivity. Such innovations have led some information scientists to declare that we are, to cite the title of Stephen Wolfram’s recent book, engaged in A New Kind of Science (2002). The presumed universality of such predictive techniques has proved particularly alluring to futurists, such as Ray Kurzweil, whose The Singularity Is Near (2005) argues that information technology will soon become hyper-intelligent and propel humanity into a paradisiacal world of infinite informational (and sensorial) satisfaction. At the same time, many information theorists argue that such future histories are deeply flawed (the technical term is cockamamie) and that informational heuristics entail non-trivial limitations (see, e.g. Wimsatt, Re-Engineering Philosophy for Limited Beings (2007)).
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