Behaviosites

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Behaviosites: a novel paradigm for affecting distributed behavior

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International Conference on Autonomous Agents archive
Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems table of contents

Hakodate, Japan

SESSION: Cooperation and coordination table of contents

Pages: 679 - 681

Year of Publication: 2006

ISBN:1-59593-303-4

Authors

Amit Shabtay	Hebrew University, Jerusalem, Israel
Zinovi Rabinovich	Hebrew University, Jerusalem, Israel
Jeffrey S. Rosenschein	Hebrew University, Jerusalem, Israel

Sponsors

IFMAS : The International Foundation for Multiagent Systems
ATAL : The International Workshop on Agent Theories, Architectures, and Languages
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 20, Citation Count: 2

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ABSTRACT

We present the Behaviosite paradigm, a new approach to affecting the behavior of distributed agents in a multiagent system, which is inspired by biological parasites with behavior manipulation properties. Behaviosites are special kinds of agents that "infect" a system composed of agents operating in that environment. The behaviosites facilitate behavioral changes in agents to achieve altered, potentially improved, performance of the overall system. Behaviosites need to be designed so that they are intimately familiar with the internal workings of the environment and of the agents operating within it, and behaviosites apply this knowledge for their manipulation, using various infection and manipulation strategies. To demonstrate and test this paradigm, we implemented a version of the El Farol problem, using behaviosites.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	W. B. Arthur. Inductive reasoning and bounded rationality (the El Farol problem). Amer. Econ. Review, 84(406), 1994.
	2	A. M. Bell and W. A. Sethares. The El Farol problem and the internet: Congestion and coordination failure. Computing in economics and finance, Society for Computational Economics, March 1999.
	3	Erich Gamma , Richard Helm , Ralph Johnson , John Vlissides, Design patterns: elements of reusable object-oriented software, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1995
	4	A. Greenwald, J. Farago, and K. Hall. Fair and efficient solutions to the Santa Fe bar problem. Grace Hopper Celebration of Women in Computing, October 2002.
	5	A. Greenwald, B. Mishra, and R. Parikh. The Santa Fe bar problem revisited: Theoretical and practical implications. Festival on Game Theory: Interactive Dynamics and Learning, SUNY Stony Brook, July 1998.
	6	M. Nickles, M. Rovatsos, and G. Weiss, editors. Post-proceedings of the First International Workshop on Computational Autonomy---Potential, Risks, Solutions, volume 2969 of Lecture Notes in Computer Sciences. Springer-Verlag, 2003.

CITED BY 2

	Vasileios Baousis , Stathes Hadjiefthymiades , George Alyfantis , Lazaros Merakos, Autonomous mobile agent routing for efficient server resource allocation, Journal of Systems and Software, v.82 n.5, p.891-906, May, 2009
	Amit Shabtay , Zinovi Rabinovich , Jeffrey S. Rosenschein, Behaviosites: manipulation of multiagent system behavior through parasitic infection, Proceedings of the 21st national conference on Artificial intelligence, p.709-715, July 16-20, 2006, Boston, Massachusetts