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Can models of agents be transferred between different areas?

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Aylett, Ruth, Dautenhahn, Kerstin, Doran, Jim, Luck, Michael, Moss, S. and Tennenholtz, Moshe (2000) Can models of agents be transferred between different areas? Knowledge Engineering Review, Vol.15 (No.2). pp. 197-203. doi:10.1017/S0269888900002034 ISSN 0269-8889.

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Official URL: http://dx.doi.org/10.1017/S0269888900002034

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Abstract

One of the main reasons for the sustained activity and interest in the field of agent-based systems, apart from the obvious recognition of its value as a natural and intuitive way of understanding the world, is its reach into very many different and distinct fields of investigation. Indeed, the notions of agents and multi-agent systems are relevant to fields ranging from economics to robotics, in contributing to the foundations of the field, being influenced by ongoing research, and in providing many domains of application. While these various disciplines constitute a rich and diverse environment for agent research, the way in which they may have been linked by it is a much less considered issue. The purpose of this panel was to examine just this concern, in the relationships between different areas that have resulted from agent research. Informed by the experience of the participants in the areas of robotics, social simulation, economics, computer science and artificial intelligence, the discussion was lively and sometimes heated.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Intelligent agents (Computer software) -- Mathematical models, Artificial intelligence -- Computer programs, Robotic, Economics
Journal or Publication Title: Knowledge Engineering Review
Publisher: Cambridge University Press
ISSN: 0269-8889
Official Date: June 2000
Dates:
DateEvent
June 2000Published
Volume: Vol.15
Number: No.2
Page Range: pp. 197-203
DOI: 10.1017/S0269888900002034
Status: Peer Reviewed
Access rights to Published version: Open Access (Creative Commons)

Data sourced from Thomson Reuters' Web of Knowledge

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