Abstract
The general aim of our work is to provide tools, methods and models to adaptive multi-agent systems designers. These systems consist in several interacting agents and have to optimize problem solving in a dynamic environment. In this context, the ADELFE method, which is based on a self-organizing adaptive multi-agent system model, was developed. Cooperation is used as a local criterion to self-organize the collective in order to reach functional adequacy with the environment. One key stage during the design process is to instantiate a cooperative agent model that is an extension to classical reactive models in which cooperation subsumes any other nominal behavior. A sample implementation of the agent model in the collective robotics domain – resource transportation – will illustrate a discussion on the model.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Capera, D., Georgé, J., Gleizes, M.P., Glize, P.: The AMAS theory for complex problem solving based on self-organizing cooperative agents. In: 1st International Workshop on Theory and Practice of Open Computational Systems (TAPOCS) at IEEE 12th International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2003), pp. 383–388. IEEE, Los Alamitos (2003)
Georgé, J.P., Gleizes, M.P., Glize, P., Régis, C.: Real-time simulation for flood forecast: an adaptive multi-agent system staff. In: Kazakov, D., Kudenko, D., Alonso, E. (eds.) Proceedings of the AISB 2003 symposium on Adaptive Agents and Multi-Agent Systems(AAMAS 2003). University of Wales, Aberystwyth (2003)
Picard, G., Gleizes, M.P.: The ADELFE Methodology – Designing Adaptive Cooperative Multi-Agent Systems. In: Bergenti, F., Gleizes, M.P., Zambonelli, F. (eds.) Methodologies and Software Engineering for Agent Systems. Kluwer, Dordrecht (2004)
Bernon, C., Camps, V., Gleizes, M.P., Picard, G.: Designing Agents’ Behaviours within the Framework of ADELFE Methodology. In: Omicini, A., Petta, P., Pitt, J. (eds.) ESAW 2003. LNCS (LNAI), vol. 3071, Springer, Heidelberg (2004)
Picard, G., Capera, D., Gleizes, M.P., Glize, P.: A Sample Application of ADELFE Focusing on Analysis and Design: The Mechanism Design Problem. In: Gleizes, M.-P., Omicini, A., Zambonelli, F. (eds.) ESAW 2004. LNCS (LNAI), vol. 3451, pp. 231–244. Springer, Heidelberg (2005)
Vaughan, R., Støy, K., Sukhatme, G., Matarić, M.: Blazing a trail: Insect-inspired resource transportation by a robotic team. In: Proceedings of 5th International Symposium on Distributed Robotic Systems (2000)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
Vaughan, R., Støy, K., Sukhatme, G., Matarić, M.: Go ahead make my day: Robot conflict resolution by aggressive competition. In: Proceedings of the 6th International Conference on Simulation of Adaptive Behaviour (2000)
Ferber, J.: Multi-Agent System: An Introduction to Distributed Artificial Intelligence. Addison Wesley Longman, Harlow (1999)
Lucidarme, P., Simonin, O., Liéègeois, A.: Implementation and Evaluation of a Satisfaction/Altruism Based Architecture for Multi-Robot Systems. In: Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, May 11-15, pp. 1007–1012. IEEE Computer Society Press, Washington (2002)
Topin, X., Fourcassié, V., Gleizes, M.P., Theraulaz, G., Regis, C., Glize, P.: Theories and experiments on emergent behaviour: From natural to artificial systems and back. In: Proceedings of the 3rd European Conference on Cognitive Science (ECCS 1999), Certosa di Pontignano, SI, Italy (1999)
Picard, G., Gleizes, M.P.: An Agent Architecture to Design Self-Organizing Collectives: Principles and Application. In: Alonso, E., Kudenko, D., Kazakov, D. (eds.) AAMAS 2002. LNCS (LNAI), vol. 2636, pp. 141–158. Springer, Heidelberg (2003)
Müller, J.P.: Emergence of collective behaviour: simulation and social engineering. In: Omicini, A., Petta, P., Pitt, J. (eds.) ESAW 2003. LNCS (LNAI), vol. 3071, p. 519. Springer, Heidelberg (2004)
Ali, S., Zimmer, R., Elstob, C.: The question concerning emergence: Implication for Artificiality. In: Dubois, D. (ed.) Computing Anticipatory Systems: CASYS 1997 - First International Conference (1997)
Soley, R.: The OMG Staff Strategy Group: Model driven architecture. White paper Draft 3.2, OMG (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Picard, G. (2005). Cooperative Agent Model Instantiation to Collective Robotics. In: Gleizes, MP., Omicini, A., Zambonelli, F. (eds) Engineering Societies in the Agents World V. ESAW 2004. Lecture Notes in Computer Science(), vol 3451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423355_15
Download citation
DOI: https://doi.org/10.1007/11423355_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27330-1
Online ISBN: 978-3-540-31887-3
eBook Packages: Computer ScienceComputer Science (R0)