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EnglishOne of the basic issues to face in Multi-Agent Systems is effectively implementingcooperation among agents. To this aim, a not trivial problem has to be solved:Among a (possible large) number of agents, how to detect which agents are promising candidates for cooperation? In this chapter a new approach for dealing with this problem is proposed. We define a formal model for representing agents and a number of semantic properties exploited for detecting fruitful cooperation. On the basis of this model we design a Multi-Agent System, called SPY, capable of managing andsupporting cooperation in the agent community. The system learns semantic propertiesby monitoring the user behavior in such a way that it adapts its response to userexpectation.
| Titolo: | Finding the Best Agent for Cooperation |
| Autori: | |
| Data di pubblicazione: | 2004 |
| Handle: | http://hdl.handle.net/20.500.12318/9762 |
| ISBN: | 978-3-540-40677-8 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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