A simulation approach to design contracts that govern emergent multi-agent systems

Maira Gatti, Carlos de Lucena, Simon Miles, Nir Oren, Michael Luck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Agent-based normative systems offer the potential for a business to model, understand the consequences of, and then refine contracts to improve the outcomes for that business. In this paper, we combine a simulation technique designed for investigating and tuning emergent behavior in multi-agent systems with an approach to modeling norms of the complexity found in business contracts. We believe that our approach can aid in the refinement of such contracts by exposing the consequences of contract variations.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems
EditorsMichael Luck, Sandip Sen
Place of PublicationNew York, NY, USA
PublisherACM Press
Pages1541-1542
Volume1
ISBN (Print)978-0982657119
Publication statusPublished - 2010
Event9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) - Toronto, Canada
Duration: 10 May 201014 May 2010

Conference

Conference9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)
CountryCanada
CityToronto
Period10/05/1014/05/10

Keywords

  • contracts
  • design measurement
  • multiagent systems
  • norms
  • simulation
  • distributed artificial intelligence

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  • Cite this

    Gatti, M., de Lucena, C., Miles, S., Oren, N., & Luck, M. (2010). A simulation approach to design contracts that govern emergent multi-agent systems. In M. Luck, & S. Sen (Eds.), Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (Vol. 1, pp. 1541-1542). ACM Press. http://portal.acm.org/citation.cfm?id=1838471