Abstract
Planning humanitarian relief operations within a community of a high number of hardly collaborating and vaguely linked non-governmental organizations is a challenging problem. In this article we present an agent-oriented approach to modeling and supporting distributed decision making of agents - the humanitarian relief providers. Owing to the very special nature of this specific domain, where the agents may eventually agree to collaborate but are very often reluctant to share their knowledge and resources, we have combined classical negotiation mechanisms with the acquaintance models and social knowledge techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dix J., Subrahmanian V.S., and Pick G.: Meta Agent Programs. Journal of Logic Programming. 46(1–2): 1–60, 2000.
Jennings N.: Agent Based Computing: Promises and Perils, Computer and Thought Award Lecture. In: Proc. International Conference on Artificial Intelligence, Stockholm, August 1999.
Ketchpel, S.: Coalition Formation Among Autonomous Agents. In: Proc. 5 th European Workshop on Modeling Autonomous Agents in a Multi-Agent World, Neuchatel, Switzerland, 1993.
Marik V., Pechoucek M., and Stepankova O.: Social Knowledge in Multi-Agent Systems. In: Multi-Agent Systems and Applications (M. Luck et. al, eds.), LNAI 2086, Tutorial, Springer-Verlag, 200, pp. 211–236.
Pechoucek, M., Marik, V., and Stepankova O.: Towards Reducing Communication Traffic. Journal of Applied System Studies, Cambridge International Science Publishing, ISSN 1466-7738, Cambridge, UK, No. 1, 2001.
Rathmell R.A.: A Coalition Force Scenario ‘Binni — Gateway to the Golden Bowl of Africa’. Defence Evaluation Research Agency, 1999.
Reece G.A., and Tate A.: The Pacifica NEO Scenario. Technical Report ARPA-RL/O-Plan2/TR/3, Artificial Intelligence Applications Institute, University of Edinburgh, Scotland, 1993.
Sandholm W.: Distributed Rational Decision Making. In: Multi-Agent Systems: Modern Approach to Distributed Artificial Intelligence (Weiss G., ed.), The MIT Press, Cambridge, 1999.
Shehory O., and Kraus S.: Methods for Task Allocation via Agent Coalition Formation. Artificial Intelligence, vol. 101(1–2), pp. 165–200, 1998.
Walker E.C.T.: Panel Report: Coalition Planning for Operations Other Than War. In: Proc. of the Workshop at AIAI, Edinburgh, spring 1999.
Tambe M.: Towards flexible teamwork. Journal of Artificial Intelligence Research, 7:83–124, 1997.
Bárta J., Pěchouček M., and Mařik V.: Sufferterra Humanitarian Crisis Scenario. Project Report of US Air Force Research Contract-Acquaintance Models in Operations Other Than War Coalition Formation, project contract no.: F61775-00-WE043, (US Air Force proprietary), Department of Cybernetics, Czech Technical University, January 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pěchouček, M., Bárta, J., Mařík, V. (2002). CPlanT: Coalition Planning Multi-Agent System for Humanitarian Relief Operations. In: Mařík, V., Štěpánková, O., Krautwurmová, H., Luck, M. (eds) Multi-Agent Systems and Applications II. ACAI 2001. Lecture Notes in Computer Science(), vol 2322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45982-0_24
Download citation
DOI: https://doi.org/10.1007/3-540-45982-0_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43377-4
Online ISBN: 978-3-540-45982-8
eBook Packages: Springer Book Archive