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On the synthesis of useful social laws for artificial agent societies

Published: 12 July 1992 Publication History

Abstract

We present a general model of social law in a computational system, and investigate some of its properties. The contribution of this paper is twofold. First, we argue that the notion of social law is not epiphenomenal, but rather should be built into the action representation; we then offer such a representation. Second, we investigate the complexity of automatically deriving useful social laws in this model, given descriptions of the agents' capabilities, and the goals they might encounter. We show that in general the problem is NP-complete, and identify precise conditions under which it becomes polynomial.

References

[1]
A. H. Bond and L. Gasser. Readings in Distributed Artificial Intelligence. Ablex Publishing Corporation, 1988.
[2]
S.J. Buckley. Fast motion planning for multiple moving robots. In Proceedings of the 1989 IEEE International Conference on Robotics and Automation, pages 322-326, 1989.
[3]
P. Caloud, W. Choi, J.-C Latombe, C. Le Pape, and M. Yim. Indoor automation with many mobile robots. In Proceedings IEEE International Workshop on Intelligent Robots and Systems, Tsuchiura, Japan, 1990.
[4]
Edmund H. Durfee, Vicror R. Lesser, and Daniel D. Corkill. Coherent Cooperation Among Communicating Problem Solvers. IEEE Transactions on Computers, 36:1275-1291, 1987.
[5]
M. Erdmann and T. Lozano-Perez. On multiple moving robots. Algorithmica, 2(4):477-521, 1987.
[6]
S. Kraus and J. Wilkenfeld. The Function of Time in Cooperative Negotiations. In Proc. of AAAI-91, pages 179-184, 1991.
[7]
Yoram Moses and M. Tennenholtz. Artificial Social Systems Part I: Basic Principles. Technical Report CS90-12, Weizmann Institute, 1990.
[8]
Yoram Moses and M. Tennenholtz. On Formal Aspects of Artificial Social Systems. Technical Report CS91-01, Weizmann Institute, 1991.
[9]
Y. Shoham and M. Tennenholtz. On Traffic Laws for Mobile Robots. Submitted to AIPS-92.
[10]
Yoav Shoham. Agent Oriented Programming. Technical Report STAN-CS-1335-90, Dept. of Computer Science, Stanford University, 1990.
[11]
M. Tennenholtz and Yoram Moses. On Cooperation in a Multi-Entity Model. In Proc. 11th International Joint Conference on Artificial Intelligence, 1989.

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  • (2018)Situated artificial institutionsAutonomous Agents and Multi-Agent Systems10.1007/s10458-017-9379-332:2(219-251)Online publication date: 1-Mar-2018
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Published In

cover image Guide Proceedings
AAAI'92: Proceedings of the tenth national conference on Artificial intelligence
July 1992
868 pages
ISBN:0262510634

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  • AAAI: American Association for Artificial Intelligence

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AAAI Press

Publication History

Published: 12 July 1992

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Cited By

View all
  • (2024)Norm Augmented Reinforcement Learning Agents With Synthesized Normative RulesJournal of Cases on Information Technology10.4018/JCIT.34565026:1(1-34)Online publication date: 30-Jul-2024
  • (2021)Conceptual Model Based on Normative Multi-Agent System for Supply Chain Integration of Brazilian Gypsum LPAInternational Journal of Decision Support System Technology10.4018/IJDSST.202110010113:4(1-16)Online publication date: 1-Oct-2021
  • (2018)Situated artificial institutionsAutonomous Agents and Multi-Agent Systems10.1007/s10458-017-9379-332:2(219-251)Online publication date: 1-Mar-2018
  • (2017)Mechanism Design for Social Law Synthesis under Incomplete InformationProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091429(1757-1759)Online publication date: 8-May-2017
  • (2017)Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism DesignProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091294(1214-1222)Online publication date: 8-May-2017
  • (2016)Normative multiagent systemsProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence10.5555/3060621.3060777(1123-1129)Online publication date: 9-Jul-2016
  • (2016)A dynamic logic of norm changeProceedings of the Twenty-second European Conference on Artificial Intelligence10.3233/978-1-61499-672-9-886(886-894)Online publication date: 29-Aug-2016
  • (2016)Designing minimal effective normative systems with the help of lightweight formal methodsProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering10.1145/2950290.2950307(50-60)Online publication date: 1-Nov-2016
  • (2016)Norm-based mechanism designArtificial Intelligence10.1016/j.artint.2016.07.001239:C(97-142)Online publication date: 1-Oct-2016
  • (2014)Playing with normsProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2615754(125-132)Online publication date: 5-May-2014
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