An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Learning task-specific trust decisions
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Formal Analysis of Trust Dynamics in Human and Software Agent Experiments
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Learning to trust in the competence and commitment of agents
Autonomous Agents and Multi-Agent Systems
A multi-dimensional trust model for heterogeneous contract observations
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Computing Confidence Values: Does Trust Dynamics Matter?
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
A situation-aware computational trust model for selecting partners
Transactions on computational collective intelligence V
Strategic Behavior in Interaction Selection and Contact Selection
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Modeling and Validation of Biased Human Trust
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
CRM: An efficient trust and reputation model for agent computing
Knowledge-Based Systems
Agent-Based and population-based modeling of trust dynamics
Transactions on Computational Collective Intelligence IX
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Computational Trust and Reputation (CTR) systems are essential in electronic commerce to encourage interactions and suppress deceptive behaviours. This paper focus on comparing two different kinds of approaches to evaluate the trustworthiness of suppliers. One is based on calculating the weighted mean of past results. The second one applies basic properties of the dynamics of trust. Different scenarios are investigated, including a more problematic one that results from introducing newcomers during the simulation. Experimental results presented in this paper prove the benefits of engaging properties of the dynamics of trust in CRT systems, as it noticeably improves the process of business partners' selection and increases the utility.