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ry Understanding, Memory, and Learning, Technical Report YALE/DCS(tr710, Computer Science Department. Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
ion processing architecture of a human is something like the three-level architecture developed by Sloman in the Cognition and Affect project (25) (H-Cogaff), shown in Figure 1. This conjecture is based on evidence of many kinds from several disciplines, and constraints on evolvability, implementability
Story Understanding, Memory, and Learning, Technical Report YALVDCS4710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
ion processing architecture of a human is something like the three-level architecture developed by Sloman in the Cognition and Affect project (25) (H-Cogaff), shown in Figure 1. This conjecture is based on evidence of many kinds from several disciplines, and constraints on evolvability, implementability
ry Understanding, Memory, and Learning, Technical Report YALE/DCSitr710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
ed later. Adult humans appear to have all three types of processing, which is probably rare among other animals. One of the key features that gives H-Cogaff its generality is the fact that different components, instead of forming parts of simple pipelines, can concurrently send information of various kin
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