Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/889

 Title: General Aspects of Constructing an Autonomous Adaptive Agent Authors: Pchelkin, Arthur Keywords: Reinforcement LearningNeural NetworksFunctional Systems TheoryInductive Automaton Issue Date: 2004 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: There are a great deal of approaches in artificial intelligence, some of them also coming from biology and neirophysiology. In this paper we are making a review, discussing many of them, and arranging our discussion around the autonomous agent research. We highlight three aspect in our classification: type of abstraction applied for representing agent knowledge, the implementation of hypothesis processing mechanism, allowed degree of freedom in behaviour and self-organizing. Using this classification many approaches in artificial intelligence are evaluated. Then we summarize all discussed ideas and propose a series of general principles for building an autonomous adaptive agent. URI: http://hdl.handle.net/10525/889 ISSN: 1313-0463 Appears in Collections: Volume 11 Number 4

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