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

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

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

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

Computing Science

King's College London

Research output: Chapter in Book/Report/Conference proceeding › Published conference 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 language	English
Title of host publication	Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems
Editors	Michael Luck, Sandip Sen
Place of Publication	New York, NY, USA
Publisher	ACM Press
Pages	1541-1542
Volume	1
ISBN (Print)	978-0982657119
Publication status	Published - 2010
Event	9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) - Toronto, Canada Duration: 10 May 2010 → 14 May 2010

Conference

Conference	9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)
Country/Territory	Canada
City	Toronto
Period	10/05/10 → 14/05/10

Keywords

contracts
design measurement
multiagent systems
norms
simulation
distributed artificial intelligence

Access to Document

http://portal.acm.org/citation.cfm?id=1838471

Cite this

A simulation approach to design contracts that govern emergent multi-agent systems. / Gatti, Maira; de Lucena, Carlos; Miles, Simon et al.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. ed. / Michael Luck; Sandip Sen. Vol. 1 New York, NY, USA: ACM Press, 2010. p. 1541-1542.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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, ACM Press, New York, NY, USA, pp. 1541-1542, 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, 10/05/10. <http://portal.acm.org/citation.cfm?id=1838471>

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N2 - 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.

AB - 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.

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KW - design measurement

KW - multiagent systems

KW - norms

KW - simulation

KW - distributed artificial intelligence

M3 - Published conference contribution

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BT - Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems

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Y2 - 10 May 2010 through 14 May 2010

ER -

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

Abstract

Conference

Keywords

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