Connectionists: Deep Belief Nets (2006) / Neural History Compressor (1991) or Hierarchical Temporal Memory (UNCLASSIFIED)

[Kelley, Troy D CIV (US)]

Classification: UNCLASSIFIED
Caveats: NONE

   Or taken seriously the nativist arguments of Chomsky, Pinker, and Spelke
   and tried to build a robot that is innately endowed with concepts like
   "person", "object", "set", and "place"?
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I am working on this now.  We had been using concepts from ConceptNet (from
MIT), but I think it might be better to built concepts around a set of
conceptual primitives.  

By the way there is some great work by Jean Mandler on conceptual
primitives.  Her book the "Foundations of Mind: Origins of Conceptual
Thought" is fascinating.  I have been actively pursuing the idea of building
a mind using primitives.  This is the same idea that Irving Beiderman uses
for object recognition - that objects are visual primitives used by the
visual system (cubes, cylinders).  This idea can be extended to language,
both written (letters) and spoken (phonemes).  The idea of using primitives
can reduce the computation complexity of many problems.  As Mandler puts it,
many complex cognitive reasoning tasks are really built out of more
conceptual primitives - especially ones based on movement.  For example,
"The Germans ousted the French during WWII" is a rather complex statement,
but is thought of as a movement based concept - the Germans replaced the
French in some space.  There are many other examples of these movement based
primitives which inform thought - "he is moving up in the world" or "He is
down and out" or "He is going down".  All of these might be complex ideas
but they are represented as movement based conceptual primitives.

Troy Kelley
Cognitive Robotics Team Leader
Human Research and Engineering Directorate
Army Research Laboratory
Aberdeen, MD, 21005
V: 410-278-5869



Troy Kelley
Cognitive Robotics Team Leader
Human Research and Engineering Directorate
Army Research Laboratory
Aberdeen, MD, 21005
V: 410-278-5869


Classification: UNCLASSIFIED
Caveats: NONE


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