Influence-Based Autonomy Levels in Agent Decision-Making

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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 interagent influences and we present a BDI-based deliberation process in which different levels of autonomy can be implemented
TNO Identifier
222485
Source title
COIN@ECAI 2006 - Proceedings of the workshop on Coordination, Organization, Institutions and Norms in Agent Systems (COIN), 28 August 2006, Riva Del Garda, Italy
Pages
76-82
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