Abstract
Multiagent systems, also denoted as agencies, are a matter of growing importance in distributed artificial intelligence. Whereas several applications have been addressed by means of agencies, little effort has been devoted to identify and define general methodologies for developing agencies. The purpose of this paper is to propose and analyze an algorithm that, given a formalized initial exigency, recruits, from an inventory of agents, the components that form the better agency for addressing the exigency. This algorithm for composing an agency can be naturally applied in very flexible environments, such as Web applications, in which both the reconfiguration of systems and the reuse of agents for different applications play a fundamental role.
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Amigoni, F., Villa, M. (2000). An Algorithm for Recruitment of Agents in Agency Design. In: Lamma, E., Mello, P. (eds) AI*IA 99: Advances in Artificial Intelligence. AI*IA 1999. Lecture Notes in Computer Science(), vol 1792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46238-4_28
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DOI: https://doi.org/10.1007/3-540-46238-4_28
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