Abstract
Social relationships are often described as social exchanges, understood as service exchanges between pairs of individuals with the evaluation of those exchanges by the individuals themselves. Social exchanges have been frequently used for defining interactions in MAS. An important problem that arises in the context of social simulation and other MAS applications is the self-regulation of the social exchange processes, so that the agents can achieve/maintain the equilibrium of the exchanges by themselves, guaranteing the continuation of the interactions in time. Recently, this problem was tackled by defining the spatial and evolutionary Game of Self-Regulation of Social Exchange Processes (GSREP), implemented in NetLogo, where the agents evolve their exchange strategies by themselves over time, performing more equilibrated and fair interactions. The objective of this paper is to analyse the problem of the self-regulation of social exchange processes in the context of a BDI-based MAS, adapting the GSREP game to Jason agents and introducing a cultural aspect, where the society culture, aggregating the agents’ reputation as group beliefs, influences directly the evolution of the agents’ exchange strategies, increasing the number of successful interactions and improving the agents’ outcomes in interactions.
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Von Laer, A., Dimuro, G.P., Adamatti, D.F. (2015). Analysing the Influence of the Cultural Aspect in the Self-Regulation of Social Exchanges in MAS Societies: An Evolutionary Game-Based Approach. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_68
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