Abstract
This paper investigates the skills of autonomous agents to reorganize their society as answer to environmental changes. The reorganization of an agent society can be motivated by the desire to reduce conflicts within inter-agent cooperation and to increase the efficiency in achieving goals. Our interest is centered on situations where new agents want to join an existing agent society which has established conventions for agent cooperation. Joining an agent society means that the society can draw benefits from the interaction with the new members having competencies which are complementary to the society ones; both, the society and the new members, need to agree on a new convention. We introduce a method for reorganization based on the principle of punishment: a society punishes or favors the behaviors of its new members.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
M. Adler, E. Durfee, M. Huhns, W. Punch, and E. Simoundis. AAAI workshop on cooperation among heterogeneous intelligent agent. AI Magazine, 13(2):39–42, 1992.
T. Bouron and A. Collinot. SAM: a model to design computational social agents. In Proc. 10 th ECAI, Wien, Austria, 1992.
C. Castelfranchi. Guaranties for autonomy in cognitive agent architectures. In ECAI-94 workshop on ATAL, pages 56–70, Amsterdam, The Netherlands, 1994. LNAI Series, 890.
V. Chevrier, R. Foisel, N. Glaser, and the research group MARCIA. Auto-organisation: Emergence de structures. In Journées du PRC IA sur les SMA, 1995. CRIN report 95-R-290.
R. Conte and C. Castelfranchi. Cognitive and Social Action. UCL Press, 1995.
K.S. Decker and V.R. Lesser. Designing a family of coordination algorithms. In Proc. 1 st ICMAS, pages 73–80, San Francisco, California, 1995.
J. Erceau and J. Ferber. L'intelligence artificielle distribuée. La Recherche, 22:750–758, 1991.
O. Etzioni. Embedding Decision-Analytic Control in a Learning Architecture. Artificial Intelligence, 49:129–159, 1991.
A.P. Fiske. The four elementary forms os sociality: Framework for a unified theory of social relations. Psychological Review, 99:689–723, 1992.
S. Franklin and A. Graesser. Is it an agent, or just a program?: A taxonomy for autonomous agents. In ECAI-96 workshop on ATAL, pages 21–36, Budapest, Hungary, 1996. LNAI Series, 1193.
D.P. Gauthier. The Logic of Leviathan. Oxford University Press, 1969.
N. Glaser. Contribution to Knowledge Acquisition and Modelling in a Multi-Agent Framework — The CoMoMAS Approach. PhD thesis, Université Henri Poincaré, Nancy I, 1996.
N. Glaser, V. Chevrier, and J.-P. Haton. Multi-agent modeling for autonomous but cooperative robots. In Proc. 1 st DIMAS, pages 175–182, Cracow, Poland, 1995.
H. Haken. Synergetics. An Introduction. Springer Verlag, Berlin, 1990.
B. Hayes-Roth. An architecture for adaptive intelligent systems. Artificial Intelligence: Special Issue on Agents and Interactivity, 72:329–365, 1995.
T. Hobbes. Leviathan. Oxford University Press, 1948.
N.R. Jennings. Towards a cooperation knowledge level for collaborative problem-solving. In Proc. 10 th ECAI, pages 224–228, Wien, Austria, 1992.
L. Kaebling. Learning in Embedded Systems. MIT, 1993.
E. LeStrugeon, C. Kolski, R. Mandiau, and M. Tendjaoui. Intelligent agents. In Second International Conference on the Design of Cooperative Systems, pages 331–344, Juan-les-Pins, France, 1996.
G. Mantovani. Social context in HCI: A new framework for mental models, cooperation, and communication. Cognitive Science, 20:237–269, 1996.
T.A. Montgomery and E.H. Durfee. Using MICE to study intelligent dynamic coordination. In Proc. 2 nd IEEE Conf. on Tools for AI, pages 438–444, 1990.
Ph. Morignot and B. Hayes-Roth. Why does an agent act: Adaptable motivations for goal selection and generation. In M. Freed and M. Cox, editors, AAAI Spring Symposium, Representing Mental States and Mechanisms, pages 97–101. Stanford, 1995.
J.P. Müller. The Design of Intelligent Agents: A Layered Approach, volume 1177 of Lecture Notes in Computer Science. Springer Verlag, 1996.
E. Oliveira, F. Mouta, and A.P. Rocha. Negotiation and conflict resolution within a community of cooperative agents. In Internat. Symposium on Autonomous Decentralized Systems, Kawasaki, Japan, 1993.
A.S. Rao and M.P. Georgeff. BDI agents: From theory to practice. In Proc. 1 st ICMAS, pages 312–319, San Francisco, California, 1995.
S. Russell. Rationality and intelligence. In Proc. 14 th IJCAI, Montréal, Canada, 1995.
G. Schreiber, B.J. Wielinga, J.M. Akkermans, W. Van de Velde, and A. Anjewierden. CML: The CommonKADS conceptual modelling language. In Proc. 8 th European Knowledge Acquisition Workshop, pages 1–25, Hoegaarden, Belgium, 1994. LNAI Series, 867.
G. Schreiber, B.J. Wielinga, R. de Hoog, H. Akkermans, and W. Van de Velde. Commonkads: A comprehensive methodology for KBS development. IEEE Expert, 9(6):28–37, 1994.
P. Tsang. Foundation of Constraint Satisfaction. Academic Press, 1994.
C.J.C.H. Watkins and P. Dayan. Q-learning. Machine Learning, 8:279–292, 1992.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Glaser, N., Morignot, P. (1997). The reorganization of societies of autonomous agents. In: Boman, M., Van de Velde, W. (eds) Multi-Agent Rationality. MAAMAW 1997. Lecture Notes in Computer Science, vol 1237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63077-5_28
Download citation
DOI: https://doi.org/10.1007/3-540-63077-5_28
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63077-7
Online ISBN: 978-3-540-69125-9
eBook Packages: Springer Book Archive