Architectures for Intelligence
Psychology Press, 1991 - Psychology - 436 pages
This proposal requests funds to partially support a symposium on Architectures for Intelligence. The major purposes of the symposium are: (1) To promote interaction among researchers who are pursuing the architectural question from divergent viewpoints. (2) To exhibit the common issues in architecture research that may have been obscured by the variety of approaches. (3) To see if there are a common set of good ideas that crop up in a variety of architectures. (4) To compare varying degrees of ontological commitment, which range from an architecture is just a notation for computations, and any convenient one would do as well to there is one optimal architecture, both for the human mind and the artificial mind, and our architectures are hypotheses about what that real architecture is. (5) To examine the levels of description idea, which is used, for instance, to say that connectionist architectures describe the mind at a finer-grained level of description than serial, symbolic architectures, so both descriptions can be right at the same time. The speakers at the symposium have all written chapters for a book entitled Architectures for Intelligence, which is being published by Erlbaum and should appear in March, 1991. (sdw).
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acquisition action activity agent algorithm analysis Anderson Artificial Intelligence assumptions behavior beliefs Carnegie Mellon University chunking cognitive architecture cognitive science conﬁguration conﬂict connectionist context control knowledge control rules cube1 declarative knowledge deﬁned deﬁnition described distance domain dynamic encoding environment episodic knowledge example execution explanation explanation-based explicit ﬁnd ﬁrst ﬁxed functional architecture gate goal reconstruction Hayes-Roth hidden units human Ieaming implementation inference input interaction internal interpretation KL description knowledge representation Laird layer learning literals machine Machine Learning McClelland mechanisms memory methods module Newell node object operator optimization output Parallel distributed processing patterns perception performance predict problem solving problem space procedural knowledge procedure PRODIGY produce Pylyshyn reasoning reference reﬂect represent representation retrieval robot Rosenbloom Rumelhart semantic sequence sequential simulation slot values Soar solver speciﬁc stored structures subgoal subsumption subsumption architecture symbol task tget Theo theory tion VanLehn vectors weight