Fusing Symbolic and Decision-Theoretic Problem Solving + Perception in a Graphical Cognitive Architecture

Chen Junda, Abram Demski, Han Teawon, Louis‐Philippe Morency, David V. Pynadath, Nicole S. Rafidi, Paul S. Rosenbloom · Frontiers in artificial intelligence and applications · 2011

A step is taken towards fusing symbolic and decision-theoretic problem solving in a cognitive architecture by implementing the latter in an architecture within which the former has already been demonstrated. The graphical models upon which the architecture is based enable a uniform implementation of both varieties of problem solving. They also enable a uniform combination with forms of decision-relevant perception, highlighting a potential path towards a tight coupling between central cognition and peripheral perception.

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