ESAW '00 Proceedings of the First International Workshop on Engineering Societies in the Agent World: Revised Papers
A system of exchange values to support social interactions in artificial societies
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Sequential optimality and coordination in multiagent systems
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Planning and acting in partially observable stochastic domains
Artificial Intelligence
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Centralized Regulation of Social Exchanges Between Personality-Based Agents
Coordination, Organizations, Institutions, and Norms in Agent Systems II
A basis for an exchange value-based operational notion of morality for multiagent systems
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Semantical concepts for a formal structural dynamics of situated multiagent systems
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Regulating social exchanges between personality-based non-transparent agents
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
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This paper introduces systems of exchange values as tools for the self-regulation of multi-agent systems. Systems of exchange values are defined on the basis of the model of social exchanges proposed by J. Piaget. A model of social control is proposed, where exchange values are used for supporting the regulation of the performance of social exchanges. Social control is structured around two coordinated functions: the evaluation of the current balance of exchange values and the determination of the target equilibrium point for such balance, and the maintenance of the balance of exchange values around the current target equilibrium point. The paper focuses on the second function of social control, introducing a (for the moment, centralized) equilibrium supervisor that solves the problem of keeping the system in a state of equilibrium by making use of a Qualitative Markov Decision Process that uses intervals for the representation of exchange values.