Abstract
As utility calculus cannot account for an important part of agents’ behaviour in Multi-Agent Systems, researchers have progressively adopted a more normative approach. Unfortunately, social laws have turned out to be too restrictive in real-life domains where autonomous agents’ activity cannot be completely specified in advance and the complexity of the system is ever changing. The idea of Rights is a halfway concept between anarchic and off-line constrained interaction. Rights improve coordination and facilitate social action in Multi-Agent domains through adjusting the coordination mechanisms to the complexity of the system. So far rights have not been tested or proven experimentally. We are comparing experimentally the three mentioned interaction architectures in the domain of agent-based traffic simulation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Reiner, R.: Arguments against the possibility of perfect rationality. Minds and Machines 5, 373–389 (1995)
Shoham, Y., Tennenholtz, M.: On the synthesis of useful social laws for artificial agents societies. In: Proceedings of the Tenth National Conference on Artificial Intelligence, AAAI-1992, pp. 276–281. AAAI Press, Menlo Park (1992)
Walker, A., Wooldridge, M.: Understanding the emergence of conventions in multi-agent systems. In: Proceedings of the First International Conference on Multi-Agent Systems, ICMAS-1995, pp. 384–389. MIT Press, Cambridge (1995)
Excelente-Toledo, C.B., Jennings, N.R.: The dynamic Selection of Coordination Mechanisms in Autonomous Agents. In: Multi Agent Systems, vol. 9, pp. 55–85 (2004)
Alonso, E.: Rights and Argumentation in Open Multi-Agent Systems. Artificial Intelligence Review 21(1), 3–24 (2004)
Alonso, E.: A Formal Theory of Rights and Argumentation. Open Normative Multi-Agent Systems. In: Zhang, W., Sorge, V. (eds.) Distributed Constraint Problem Solving and Reasoning in Multi-Agent Systems, Frontiers in Artificial Intelligence and Applications, vol. 112, pp. 153–167. IOS Press, Amsterdam (2004)
Tennenholtz, M.: On stable social laws and qualitative equilibria. Artificial Intelligence 102, 1–20 (1998)
O’Hare, G.M.P., Jennings, N.R. (eds.): Foundations of Distributed Artificial Intelligence. John Wiley and Sons, New York (1996)
Sycara, K.P.: Multiagent Systems. AI Magazine 19, 79–92 (1998)
Weiss, G.: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT press, Cambridge (1999)
Kristoffersson, P., Alonso, E.: Experimental Comparison of Rational Choice Theory, Norm and Rights based Multi Agent Systems. In: Proceedings of the Agent-Oriented Information Systems, AOIS-2005 (2005)
Kristoffersson, P., Alonso, E.: Rights for coordination in MAS: an experimental approach. In: MarĂn, R., OnaindĂa, E., BugarĂn, A., Santos, J. (eds.) CAEPIA 2005. LNCS, vol. 4177. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kristoffersson, P., Alonso, E. (2006). Coordination Efficiency in Rational Choice Theory, Norm and Rights Based Multi-agent Systems. In: Kolp, M., Bresciani, P., Henderson-Sellers, B., Winikoff, M. (eds) Agent-Oriented Information Systems III. AOIS 2005. Lecture Notes in Computer Science(), vol 3529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11916291_16
Download citation
DOI: https://doi.org/10.1007/11916291_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48291-8
Online ISBN: 978-3-540-48292-5
eBook Packages: Computer ScienceComputer Science (R0)