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Agent computing themes in biologically inspired models of learning and development
Author(s) -
Reilly Kevin D.
Publication year - 2002
Publication title -
international journal of developmental neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.761
H-Index - 88
eISSN - 1873-474X
pISSN - 0736-5748
DOI - 10.1016/s0736-5748(02)00042-4
Subject(s) - schema (genetic algorithms) , computer science , artificial intelligence , artificial neural network , field (mathematics) , cognitive science , machine learning , psychology , mathematics , pure mathematics
After evaluating general features and attributes of the agent notion, the overlap of features in candidate (attribute) cores, and several less central features, the paper addresses agent and related theory in neuroscience, observing how agent notions have penetrated portions of this field and how the field itself emphasizes and further develops some agent themes via, e.g. schema theory, neural net‐artificial intelligence (AI) comparisons, and other research. In remaining sections, models for development of memory strategies in children are presented, illustrating cooperative and competitive neural modeling agents, an active role for a “human agent in the loop,” and integrating broadly‐based neural network (NN) modeling with other bio‐inspired models.