IEd & Steve,

You're v. definitely not getting the message. I find Barsalou exciting because 
he is - although rather modestly and non-trumpetingly - putting forward a 
potentially even stronger version of Lakoff-Johnson's embodied approach. You 
might also like to check:

http://psychology.emory.edu/cognition/barsalou/papers/Barsalou_LCP_2003_situated_simulation.pdf

No comfort for Steve: he v. explicitly opposes the idea that the conceptual 
system is a 1) "detached database. As categories are encoded, their invariant 
properties are extracted and stored in descriptions much like an encyclopaedia. 
The result is a database of generalised categorical knowledge that is 
relatively detached from the goals of specific agents."

Instead he posits as primary something more like 2) an "agent-dependent 
instruction manual. According to this metaphor, knowledge of a category is not 
a general description of its members. Instead a skill that delivers highly 
specialised packages of inferences to guide an agent's interactions with 
specific category members in particular situations. Across different 
siutations, different packages tailor infernces to different goals and 
situational constraints."

IOW our conceptual system exists primarily to help us seek our goals, and 
instantiate broad general concepts like "go and get food", "reach for that 
object,""find out where that noise is coming from..."

And he is positing that our conceptual system depends on MODAL "SITUATED 
SIMULATIONS" of concepts. -  to make it graphic [my version not his] you have 
to run cartoon movies and other sensorimotor simulations to instantiate and 
test conceptual propositions [but NOT "holistic images" - full-blown normal 
movies].

I think one can now demonstrate convincingly from an AGI POV that a conceptual 
system -  including an NLP - HAS to work, if v. broadly, this way.. Nothing 
else - certainly no purely symbolic, "word-shuffling", amodal system - will 
ever work. But I'll leave that for another time.

I can understand how you guys misconstrued Barsalou. He doesn't put his points 
as clearly or dramatically as he could. He repays study though. This is v. 
important stuff.
  Ed:I don't see any conflict between the dominant theory in cognitive science 
and that in cognitive neuroscience quoted below, rather a clarification.  The 
latter quote pretty much says the same thing. The "amodal" nodes could 
represent combinations of ANDed or ORed "modal" nodes, which fits naturally 
with the whole notion of hierarchical memory.  


  -----Original Message-----
  From: Stephen Reed [mailto:[EMAIL PROTECTED] 
  Sent: Sunday, April 20, 2008 1:40 PM
  To: [email protected]
  Subject: Re: [agi] Concepts - Cog Sci/AI vs Cog Neurosci



  Mike, 

  Thanks for the reference, which I will study further.  As many know, the 
Texai KB is currently crisp and symbolic, and will have to stay that way until 
after the bootstrap English dialog system is developed.  I want Texai to be 
implemented in a cognitively plausible manner, and articles such as this one 
are very pertinent to my longer range plans for Texai, especially regarding the 
scoping and organization of agent knowledge.  When the future Texai deals with 
a dog that it sees, visual representations of dogs must be close at hand.

  More comforting with regard to my current symbolic-only approach is this 
quote from the paper:

  Although skepticism that discrete amodal symbols underlie conceptual 
processing in the brain continues to increase, there is little doubt that the 
brain is a symbolic system. Unlike cameras and video recorders, the brain uses 
categorical knowledge to interpret regions of experience that contain agents, 
objects, actions, mental states, and so forth. The brain does not achieve its 
powerful forms of intelligence by processing holistic images.



  Stephen L. Reed

  Artificial Intelligence Researcher
  http://texai.org/blog
  http://texai.org
  3008 Oak Crest Ave.
  Austin, Texas, USA 78704
  512.791.7860



  ----- Original Message ----
  From: Mike Tintner <[EMAIL PROTECTED]>
  To: [email protected]
  Cc: dan michaels <[EMAIL PROTECTED]>
  Sent: Sunday, April 20, 2008 12:17:00 PM
  Subject: [agi] Concepts - Cog Sci/AI vs Cog Neurosci

  Current Directions in Psychological Science - April 2008 - In Press

  
http://www.psychologicalscience.org/journals/cd/17_2_inpress/Barsalou_completed.pdf



  THE DOMINANT THEORY IN COGNITIVE SCIENCE

  Across diverse areas of psychology, computer science, linguistics, and 
philosophy, the

  dominant account of the conceptual system is the theory of semantic memory 
(e.g., Smith, 1978).

  According to this theory, the conceptual system is a modular memory store 
that contains amodal

  knowledge about categories. Semantic memory is viewed as modular because it 
is assumed to be

  separate from the brain's episodic-memory system and also from the brain's 
modal systems for

  perception, action, and affect. Because semantic memory lies outside modal 
systems, its

  representations are viewed as different from theirs, providing a higher, 
amodal level of

  representation.

  The transduction principle underlies the view that amodal representations 
develop for

  categories in a modular conceptual system



  THE DOMINANT THEORY IN COGNITIVE NEUROSCIENCE

  A very different view of the conceptual system has arisen in cognitive 
neuroscience. According

  to this view, categorical knowledge is grounded in the brain's modal systems, 
rather than being

  represented amodally in a modular semantic memory (e.g., Martin, 2001). For 
example, knowledge

  about dogs is represented in visual representations of how dogs look, in 
auditory representations of

  how dogs sound, and in motor representations of how to interact with dogs. 
Because the

  representational systems that underlie perception, action, and affect are 
also used to represent

  categorical knowledge, the conceptual system is neither modular nor amodal. 
Instead, perception and

  conception share overlapping systems.

  Empirical evidence has been the driving force behind this view.



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