AN ATTITUDE BASED MODELING OF AGENTS IN COALITION

Madhu Goyal

2007

Abstract

One of the main underpinning of the multi-agent systems community is how and why autonomous agents should cooperate with one another. Several formal and computational models of cooperative work or coalition are currently developed and used within multi-agent systems research. The coalition facilitates the achievement of cooperation among different agents. In this paper, a mental construct called attitude is proposed and its significance in coalition formation in a dynamic fire world is discussed. This paper presents ABCAS (Attitude Based Coalition Agent System) that shows coalitions in multi-agent systems are an effective way of dealing with the complexity of fire world. It shows that coalitions explore the attitudes and behaviors that help agents to achieve goals that cannot be achieved alone or to maximize net group utility.

References

  1. Bratman.M.E.,1987 Intentions, Plans and Practical Reason. Harvard University Press, Cambridge, MA.
  2. Cohen. P. R. and Levesque. H. J., 1991. Teamwork. Special Issue on Cognitive Science and Artificial Intelligence, 25(4).
  3. Fishbein. M and Ajzen. I, 1975. Belief, Attitude, Intention and Behaviour: An Introduction to theory and research. Reading, MA,USA: Addison-Wesley.
  4. Goyal. M,2004. Collaborative Negotiations in a Hostile Dynamic World. The International Conference on Artificial Intelligence (IC-AI' 04), Las Vegas, USA.
  5. Kraus.S, O. Shehory, and G. Taase,2003. Coalition formation with uncertain heterogeneous information, in Proceedings of the 2nd International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2003), Melbourne, Australia ,July 2003.
  6. Sandholm, T., Larson, K., Andersson, M., Shehory, O., and Tohmé, F.,1999. Coalition Structure Generation with Worst Case Guarantees. Artificial Intelligence, 111(1-2), 209-238.
  7. Shehory. O, Sarit Kraus,1995. Task Allocation via Coalition Formation Among Autonomous Agents. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95).
  8. Li. C, S. Chawla, U. Rajan, and K. Sycara, 2003. Mechanisms for Coalition Formation and Cost Sharing in an Electronic Marketplace. Tech. report CMU-RITR-03-10, Robotics Institute, Carnegie Mellon University.
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Paper Citation


in Harvard Style

Goyal M. (2007). AN ATTITUDE BASED MODELING OF AGENTS IN COALITION . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 165-170. DOI: 10.5220/0002361401650170


in Bibtex Style

@conference{iceis07,
author={Madhu Goyal},
title={AN ATTITUDE BASED MODELING OF AGENTS IN COALITION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={165-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002361401650170},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - AN ATTITUDE BASED MODELING OF AGENTS IN COALITION
SN - 978-972-8865-89-4
AU - Goyal M.
PY - 2007
SP - 165
EP - 170
DO - 10.5220/0002361401650170