Reinforcement Learning Neural Networks Functional Systems Theory Inductive 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.
