Agent computing themes in biologically inspired models of learning and development.
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.
Reilly
Kevin D
KD
Computer and Information Sciences, Behavioral Neuroscience, Development Psychology, University of Alabama at Birmingham, Birmingham, AL 35294-1170, USA. reilly@cis.uab.edu
D000375:Aging / Q000502:physiology*; D000818:Animals; D001921:Brain / Q000254:growth & development / Q000502:physiology*; D006801:Humans; D007858:Learning / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000254:growth & development / Q000502:physiology*; D016571:Neural Networks, Computer