Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/36370
Title: Time constraint agents? coordination and learning in cooperative multi-agent system
Authors: WU XUE
Keywords: Multi-agent systems, Coordination, Foraging, Contract Net, Multi-agent Learning, BDI
Issue Date: 16-May-2011
Source: WU XUE (2011-05-16). Time constraint agents? coordination and learning in cooperative multi-agent system. ScholarBank@NUS Repository.
Abstract: In order to be adaptive, agents in the MAS need to learn from and coordinate with other agents. To efficiently learn from and coordinate with other agents, it is very important for MAS to have a suitable agent model and a supporting MAS framework. A Bayesian-Networked ? Believe, Desire, and Intention Model (BN-BDI) agent model is proposed to build the adaptive MAS. It is a hybrid architecture that has the merits of both the deliberative and reactive architecture. And a hierarchical MAS architecture consisting of the BN-BDI agents is formed. For the coordination of the proposed MAS framework, a time constraint task-based model is proposed. The coordination mechanism significantly reduces the amount of information exchanged and scales well with the increasing number of agent. To verify the proposals, simulations are carried out using a foraging problem scenario.
URI: http://scholarbank.nus.edu.sg/handle/10635/36370
Appears in Collections:Ph.D Theses (Open)

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