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Date: Wed, 20 Nov 1996 19:16:33 GMT
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<HTML><HEAD><TITLE>The Metacat Project, Douglas Hofstadter, Jim Marshall</TITLE></HEAD><BODY><H2><B>Metacat: a Self-Watching Cognitive Architecture for Analogy-Making</B></H2><P>The Metacat project is an attempt to computationally model certain keyaspects of human cognition. It has its foundations in an earlierproject called Copycat, a computer model of high-level perception andanalogy-making. The central theme underlying Copycat is the idea ofnondeterministic, stochastic processing distributed among a largenumber of small computational agents, which work on different aspectsof an analogy problem simultaneously, at different speeds, therebyachieving a kind of differential parallelism. All processing occursthrough the collective actions of many agents working together,without any higher-level, executive process directing the overallcourse of events. Thus, Copycat lies firmly within the paradigm ofemergent computation. At the same time, however, it incorporates manyideas from the more traditional paradigm of symbolic AI, inhabiting akind of middle ground between these two opposites. Current researchis concerned with extending the model in a way that will allow it tocreate much richer representations of the analogies it makes. Thisinvolves the idea of `self-watching' -- the ability to perceive andremember patterns that occur in its own processing as it solvesanalogy problems. Based on this ability, Metacat will be able tounderstand and explain its answers in a way that Copycat cannot, andwill eventually be able to perceive analogies between analogies.<P><B>Associated Faculty:</B> Douglas Hofstadter<p><B>Associated Graduate Students:</B> Jim Marshall<P><B>Affiliated Projects:</B> Letter Spirit (Douglas Hofstadter & John Rehling)<P><B>Support:</B><P>This research is supported by funding for the Center for Research onConcepts and Cognition (CRCC) provided by the IU College of Arts andSciences.</BODY></HTML>
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