Adaptive modeling of user's preferences in multiagent meeting scheduling problem using analytical hierarchy process

Reaching to an agreement in meeting arrangements has always been a hard and cumbersome task, especially when there are many participants. An efficient approach to this problem is multi-agent systems. When we are designing a multi-agent system where agents are making decisions behalf of users we face...

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Bibliographic Details
Main Authors: Rigi, M A, Khoshalhan, F
Format: Conference Proceeding
Language:English
Subjects:
Adaptation model
Analytical hierarchy process
Analytical models
History
Humans
Job shop scheduling
meeting scheduling
Multi agent negotiation
Multiagent systems
preference graph
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Summary:Reaching to an agreement in meeting arrangements has always been a hard and cumbersome task, especially when there are many participants. An efficient approach to this problem is multi-agent systems. When we are designing a multi-agent system where agents are making decisions behalf of users we face another problem. How agents can model users' preferences? In this paper we are trying to cope with this problem. As we know analytical hierarchy process (AHP) technique is famous for its ability to determining preferences. In this paper an adaptive modeling technique based on AHP has been proposed.
DOI:10.1109/ICCP.2010.5606463