General Aspects of Constructing an Autonomous Adaptive Agent


Autoria(s): Pchelkin, Arthur
Data(s)

28/12/2009

28/12/2009

2004

Resumo

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.

Identificador

1313-0463

http://hdl.handle.net/10525/889

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Reinforcement Learning #Neural Networks #Functional Systems Theory #Inductive Automaton
Tipo

Article