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Influence-based autonomy levels in agent Decision-making

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Author: Vecht, B. van der · Meyer, A.P. · Neef, R.M. · Dignum, F. · Meyer, J.J.C.
Type:bookPart
Date:2007
Publisher: Springer
Place: Berlin : [etc]
Institution: TNO Defensie en Veiligheid
Source:Noriega, P.et al, Coordination, Organizations, Institutions, and Norms in Agent Systems II. AAMAS 2006 and ECAI 2006 International Workshops, COIN 2006 Hakodate, Japan, May 9, 2006 Riva del Garda, Italy, August 28, 2006. Revised Selected Papers, 4386 LNAI, 322-337
series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identifier: 280068
doi: doi:10.1007/978-3-540-74459-7_21
Keywords: Artificial intelligence · Decision making · Problem solving · Societies and institutions · Agent systems · Autonomy levels · Decision process · Design problems

Abstract

Autonomy is a crucial and powerful feature of agents and it is the subject of much research in the agent field. Controlling the autonomy of agents is a way to coordinate the behavior of groups of agents. Our approach is to look at it as a design problem for agents. We analyze the autonomy of an agent as a gradual property that is related to the degree of intervention of other agents in the decision process. We define different levels of autonomy in terms of inter-agent influences and we present a BDI-based deliberation process in which different levels of autonomy can be implemented. © 2007 Springer-Verlag Berlin Heidelberg.