REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
Machine Learning
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Debugging complex software systems by means of pathfinder networks
Information Sciences: an International Journal
Mining qualitative context models from multiagent interactions
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Strategies for avoiding preference profiling in agent-based e-commerce environments
Applied Intelligence
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We propose a novel method for assessing the reputation of agents in multiagent systems that is capable of exploiting the structure and semantics of rich agent interaction protocols and agent communication languages. Our method is based on using so-called conversation models, i.e. succinct, qualitative models of agents' behaviours derived from the application of data mining techniques on protocol execution data in a way that takes advantage of the semantics of inter-agent communication available in many multiagent systems. Contrary to existing systems, which only allow for querying agents regarding their assessment of others' reputation in an outcome-based way (often limited to distinguishing between "successful" and "unsuccessful" interactions), our method allows for contextualised queries regarding the structure of past interactions, the values of content variables, and the behaviour of agents across different protocols. Moreover, this is achieved while preserving maximum privacy for the reputation querying agent and the witnesses queried, and without requiring a common definition of reputation, trust or reliability among the agents exchanging reputation information. A case study shows that, even with relatively simple reputation measures, our qualitative method outperforms quantitative approaches, proving that we can meaningfully exploit the additional information afforded by rich interaction protocols and agent communication semantics.