John Laird's Research Activities
My research projects center around the architecture underlying
intelligence. I see that as a necessary precursor to building general,
autonomous intelligent agents, which is my ultimate goal. Although there are
different themes and scientific questions being addressed by my research
projects, most of them share the same underlying architecture: Soar.
Moreover, my goal is to develop a general architecture that supports agents
that can work in a variety of complex, dynamic environments. Humans are the
best example we have to date of intelligent agents with the ability to be
successful in many, different environments, and thus I continually try to
learn as much as I can about the structure of human cognition. My research
often deliberately conflates research in cognitive science and artificial
intelligence, trying to integrate what we've learned from both into a single
system. My strategy is to fold back into Soar all that we learn from our
research projects. All of this research owes a tremendous debt to Allen
Newell and Paul Rosenbloom, and other members of the Soar research group.
Although there are significant interactions among my research projects, for
presentation purposes, it is simplier to separate out my more AI work from
the more cognitive modeling work, and some work I've done on AI in computer games.
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AI research:
Soar architecture development, AI architecture evaluation,
integrated intelligent agents in distributed simulations, learning within
intelligent agents, ...
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Cognitive modeling research:
Concept acquisition, dual tasks, analogy, subtraction, high level
cognitive models, ...
subtraction
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Computer games research:
Using AI in computer games (Quake not
Chess), intelligent opponents, opponent modeling, automatic creation of
opponents through learning, ...
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