Abstract
Reputation may be understood as representing beliefs or opinions about someone or something, and it is recognized as a mechanism of social control. Reputation mechanisms are largely applied in online marketplaces, multiagent systems (MAS), P2P networks and other applications that require distributed and known information about agents. The process of evaluating agent’s reputation clearly involves imprecision, ambiguity and incompleteness. In this paper, we introduce a fuzzy logic-based reputation model for social exchange processes in MAS. We consider a variable dimensional system evaluation, using weighted aggregation functions in order to aggregate the fuzzy information of agent’s experiences (related to all considered dimensions) continuously, giving greater weight to more recent information. Some case studies are presented to analyse the behavior of the model. For that, we consider a MAS scenario in the context of online marketplace. We adopt the JaCaMo framework for the implementation, which uses BDI (Believe, Desires and Intentions) agent architecture and artifacts.
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Notes
- 1.
The construction of the simulation scenarios was based on scenarios found in the literature related to e-commerce, social simulation experiments, JaCaMo platform and MAS applications.
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Rodrigues, H.D.N., Dimuro, G.P., Adamatti, D.F. (2018). A Variable Dimensional Fuzzy Logic-Based Reputation Model for MAS. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_2
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