An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
An agent-based approach to security service
Journal of Network and Computer Applications
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Certified reputation: how an agent can trust a stranger
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Ontology-Based Service Representation and Selection
IEEE Transactions on Knowledge and Data Engineering
An Argumentation Framework for Communities of Web Services
IEEE Intelligent Systems
A Trust-Based Incentive Mechanism for E-Marketplaces
Trust in Agent Societies
Secrecy of cryptographic protocols under equational theory
Knowledge-Based Systems
Maintenance-based trust for multi-agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Can reputation migrate? On the propagation of reputation in multi-context communities
Knowledge-Based Systems
Combined On-line and Off-line Trust Mechanism for Agent Computing
AINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications
Obtaining reliable feedback for sanctioning reputation mechanisms
Journal of Artificial Intelligence Research
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Exchanging reputation information between communities: a payment-function approach
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Computing Confidence Values: Does Trust Dynamics Matter?
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Reporting incentives and biases in online review forums
ACM Transactions on the Web (TWEB)
Using argumentation to model and deploy agent-based B2B applications
Knowledge-Based Systems
Engaging the dynamics of trust in computational trust and reputation systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
Engineering self-organizing referral networks for trustworthy service selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Defense of trust management vulnerabilities in distributed networks
IEEE Communications Magazine
An agent-based simulation system for evaluating gridding urban management strategies
Knowledge-Based Systems
A complete first-order temporal BDI logic for forest multi-agent systems
Knowledge-Based Systems
Communicative commitments: Model checking and complexity analysis
Knowledge-Based Systems
Trust, distrust and lack of confidence of users in online social media-sharing communities
Knowledge-Based Systems
From blurry numbers to clear preferences: A mechanism to extract reputation in social networks
Expert Systems with Applications: An International Journal
Trust models and applications in communication and multi-agent systems
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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In open multi-agent systems, agents engage in interactions to share and exchange information. Due to the fact that these agents are self-interested, they may jeopardize mutual trust by not performing actions as they are expected to do. To this end, different models of trust have been proposed to assess the credibility of peers in the environment. These frameworks fail to consider and analyze the multiple factors impacting the trust. In this paper, we overcome this limit by proposing a comprehensive trust framework as a multi-factor model, which applies a number of measurements to evaluate the trust of interacting agents. First, this framework considers direct interactions among agents, and this part of the framework is called online trust estimation. Furthermore, after a variable interval of time, the actual performance of the evaluated agent is compared against the information provided by some other agents (consulting agents). This comparison in the off-line process leads to both adjusting the credibility of the contributing agents in trust evaluation and improving the system trust evaluation by minimizing the estimation error. What specifically distinguishes this work from the previous proposals in the same domain is its novelty in after-interaction investigation and performance analysis that prove the applicability of the proposed model in distributed multi-agent systems. In this paper, the agent structure and interaction mechanism of the proposed framework are described. A theoretical analysis of trust assessment and the system implementation along with simulations are also discussed. Finally, a comparison of our trust framework with other well-known frameworks from the literature is provided.