Hierarchical Structure of Human Action Selection – An Update of Newell's Time Scale of Human Action
Author(s) -
Munéo Kitajima,
Makoto Toyota
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.11.082
Subject(s) - computer science , action (physics) , representation (politics) , selection (genetic algorithm) , artificial neural network , cognition , hierarchical control system , artificial intelligence , neural system , scale (ratio) , action selection , cognitive science , neuroscience , perception , physics , quantum mechanics , biology , psychology , control (management) , politics , political science , law
What we observe as each individual's physical behavior is the results of a multiple processing with a PDP system, not with a single unified system. This PDP system is organized evolutionally, and realized as a neural network system, including the brain, the spinal nerves, and the peripheral nerves. This paper illustrates a matrix representation of the relationships between the hierarchical structure of cognition under Two Minds and the hierarchical structure of the neural network system under PDP
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