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An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS
An open problem in social simulation and MAS applications
is the self-regulation of social exchange processes, aiming at the
achievement/maintenance of equilibrated exchanges by the agents
themselves, providing the continuation of the interactions in time.
This paper faces this problem through an approach based on the proposed
spatial and evolutionary Game of Self-Regulation of Social
Exchange Processes. The agents, adopting different social exchange
strategies, which take into account both the short and long-term aspects
of interactions, evolve such strategies by themselves in time, in
order to maximize their respective strategy-based fitness functions.
In consequence, the agents happen to perform more equilibrated and
fair interactions, increasing the number of successful exchange