2009 International Conference on Advanced Information Networking and Applications 2009
DOI: 10.1109/aina.2009.77
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Combined On-line and Off-line Trust Mechanism for Agent Computing

Abstract: In this paper, we propose an efficient mechanism dealing with trust assessment for agent societies, aiming to accurately

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Cited by 2 publications
(3 citation statements)
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“…Several advanced approaches have been suggested regarding how to evaluate trust based on the reputation of peers (Houser & Wooders, 2006;Teacy, Patel, Jennings, & Luck, 2006;Resnick & Zeckhauser, 2002;Regan, Poupart & Cohen, 2006;Khosravifar, Gomrokchi, Bentahar & Thiran, 2009;Zhang & Cohen, 2008;Fang, Zhang, Sensoy, & Thalmann, 2011. These approaches have several weaknesses and challenges.…”
Section: Related Workmentioning
confidence: 99%
“…Several advanced approaches have been suggested regarding how to evaluate trust based on the reputation of peers (Houser & Wooders, 2006;Teacy, Patel, Jennings, & Luck, 2006;Resnick & Zeckhauser, 2002;Regan, Poupart & Cohen, 2006;Khosravifar, Gomrokchi, Bentahar & Thiran, 2009;Zhang & Cohen, 2008;Fang, Zhang, Sensoy, & Thalmann, 2011. These approaches have several weaknesses and challenges.…”
Section: Related Workmentioning
confidence: 99%
“…Generally, these frameworks are not suitable when the environment changes dynamically because they fail to quickly recognize the recent improvement or degradation of agents' capabilities as in dynamic environments these agents tend to change their goals and behaviors. To overcome this problem, some methods have been proposed to capture the recent changes in the environment [6,18,17]. In these frameworks, a retrospect trust adjustment mechanism is proposed to reconsider the trust evaluations that have been performed in the past to learn how to select better witness agents.…”
Section: Introductionmentioning
confidence: 99%
“…The most recent research proposals in trust models for multi-agent systems are as follows: (a) interaction trust, based on the direct interactions of two parties [30,31]; (b) trust based on the type of prior interactions [10,11,22]; (c) witness reputation based on certified (and possibly encrypted) references obtained by the agent to be evaluated after interacting with other agents. These references are then made public to any other agent who wants to interact with this agent [10,12,17,21,27]; and (d) referenced reputation, based on references from other agents detailing a particular agent's behavior [5,6,10,11].…”
Section: Introductionmentioning
confidence: 99%