Abstract
In heterogeneous multiagent systems, agents might interfere with each other either intentionally or unintentionally, as a side-effect of their activities. One approach to coordinating these agents is to restrict their activities by means of social norms whose compliance ensures certain system properties, or otherwise results in sanctions to violating agents. While most research on normative systems assumes a deterministic environment and norm enforcement mechanism, we formalize a normative system within an environment whereby agent actions have stochastic outcomes and norm enforcement follows a stochastic model in which stricter enforcement entails higher cost. Within this type of system, we analyze the tradeoff between norm enforcement efficiency (measured in number of norm violations) and its cost considering a population of norm-aware self-interested agents capable of building plans to maximize their expected utilities. Finally, we validate our analysis empirically through simulations in a representative scenario.
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Ågotnes, T., van der Hoek, W., Wooldridge, M.: Normative system games. In: Durfee, E.H., Yokoo, M., Huhns, M.N., Shehory, O. (eds.) AAMAS, pp. 881–888. IFAAMAS (2007)
Bellman, R.E.: Dynamic Programming. Dover Publications, Incorporated (2003)
Boutilier, C., Dean, T., Hanks, S.: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. (JAIR) 11, 1–94 (1999)
Castelfranchi, C., Dignum, F., Jonker, C.M., Treur, J.: Deliberative Normative Agents: Principles and Architecture. In: Jennings, N.R., Lespérance, Y. (eds.) ATAL 1999. LNCS, vol. 1757, pp. 364–378. Springer, Heidelberg (2000)
Fagundes, M.S.: Sequential Decision Making in Normative Environments. Ph.D. thesis, Universidad Rey Juan Carlos (2012)
Fagundes, M.S., Billhardt, H., Ossowski, S.: Reasoning about Norm Compliance with Rational Agents. In: Coelho, H., Studer, R., Wooldridge, M. (eds.) ECAI. Frontiers in Artificial Intelligence and Applications, vol. 215, pp. 1027–1028. IOS Press (2010)
Fagundes, M.S., Ossowski, S., Luck, M., Miles, S.: Using Normative Markov Decision Processes for evaluating electronic contracts. AI Commun. 25(1), 1–17 (2012)
Howard, R.A.: Dynamic Programming and Markov Processes. The M.I.T. Press (1960)
Jones, A.J.I., Sergot, M.: On the characterisation of law and computer systems: the normative systems perspective. In: Deontic Logic in Computer Science: Normative System Specification. Wiley Professional Computing Series, pp. 275–307. Wiley (1993)
Modgil, S., Faci, N., Meneguzzi, F.R., Oren, N., Miles, S., Luck, M.: A framework for monitoring agent-based normative systems. In: Sierra, C., Castelfranchi, C., Decker, K.S., Sichman, J.S. (eds.) AAMAS (1), pp. 153–160. IFAAMAS (2009)
Nash Jr, J.F.: Equilibrium points in n-person games. Proceedings of the National Academy of Sciences 36, 48–49 (1950)
Omicini, A., Ossowski, S., Ricci, A.: Coordination infrastructures in the engineering of multiagent systems. In: Bergenti, F., Gleizes, M.P., Zambonelli, F. (eds.) Methodologies and Software Engineering for Agent Systems: The Agent-Oriented Software Engineering Handbook, Multiagent Systems, Artificial Societies, and Simulated Organizations, vol. 11, ch. 14, pp. 273–296. Kluwer Academic Publishers (2004)
Puterman, M.L., Shin, M.C.: Modified Policy Iteration Algorithms for Discounted Markov Decision Problems. Management Science 24, 1127–1137 (1978)
Schumacher, M., Ossowski, S.: The governing environment. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2005. LNCS (LNAI), vol. 3830, pp. 88–104. Springer, Heidelberg (2006)
Tennenholtz, M.: On social constraints for rational agents. Computational Intelligence 15(4), 367–383 (1999)
Ummels, M., Wojtczak, D.: The complexity of nash equilibria in stochastic multiplayer games. Logical Methods in Computer Science 7(3) (2011)
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Fagundes, M.S., Ossowski, S., Meneguzzi, F. (2014). Imperfect Norm Enforcement in Stochastic Environments: An Analysis of Efficiency and Cost Tradeoffs. In: Bazzan, A., Pichara, K. (eds) Advances in Artificial Intelligence -- IBERAMIA 2014. IBERAMIA 2014. Lecture Notes in Computer Science(), vol 8864. Springer, Cham. https://doi.org/10.1007/978-3-319-12027-0_42
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DOI: https://doi.org/10.1007/978-3-319-12027-0_42
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