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Intelligent agents: theory and practice

Published online by Cambridge University Press:  07 July 2009

Michael Wooldridge  and
Nicholas R. Jennings
Michael Wooldridge
Affiliation:
Department of Computing, Manchester Metropolitian University, Chester Street, Manchester MI 5GD, UK ([email protected])
Nicholas R. Jennings
Affiliation:
Department of Electornic Engineering, Queen Mary & Westfield College, Mile End Road, London EI 4NS, UK ([email protected])
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Abstract

The concept of an agent has become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary). Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents. Agent architectures can be thought of as software engineering models of agents; researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally, agent languages are software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper is not intended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 10 , Issue 2 , June 1995 , pp. 115 - 152
Copyright
Copyright © Cambridge University Press 1995

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