Browse > Article
http://dx.doi.org/10.5391/IJFIS.2004.4.3.277

An Approach to Generate A Theory of Coordination for Multi-Agent Systems  

Kim, Eun Gyung (School of Information Technology, Korea University of Technology and Education)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.4, no.3, 2004 , pp. 277-282 More about this Journal
Abstract
This paper outlines our approach and the underlying design principles aimed at the generation of a theory of coordination. Such theory would assist in designing new Multi-Agent Systems(MAS) and provide trouble-shooting tools for suboptimally functioning MAS. This paper also describes the decisions that have been made in this endeavor. We have been able to show via a simplified model that approach is feasible and can produce results.
Keywords
Multi-Agent Systems(MAS); Coordination Theory; Quality Measure of Coordination(QMC);
Citations & Related Records
연도 인용수 순위
  • Reference
1 N. V. Findler & J. Gao, 'Dynamic hierarchical control for distributed problem solving,' Data and Knowledge Eng., 2:285-301, 1987   DOI   ScienceOn
2 N. V. Findler & Q. Ge, 'Perceiving and planning before acting - an approach to enhance global network coherence,' International Conf. of Intelligent Systems. 4:459-470, 1989   DOI   ScienceOn
3 K. S. Decker, Environment-Centered Analysis and Design of Coordination Mechanisms, PhD dissertation, Univ. of Massachusetts at Amherst, May 1995
4 B. A. Huberman & T. Hogg, 'The behavior of computational ecologies,' In B. A. Huberman eds., The Ecology of Computation, 117-132, Elsevier Science B, 1988
5 L. Gasser, DAI approaches to coordination, In N. M. Avouris & L. Gasser, eds., Distributed Artificial Intelligence: Theory and Praxis, 31-51, Kluwer, 1992
6 K. S. Decker, 'Task Environment centered simulation,' In M. Prietula, K. Carley & L. Gasser, eds., Simulating Organizations: Computational Models of stitutions and Groups, 1996
7 R. M. Malyankar, N. V. Findler & P. S. Heck, "The effects of satisficing models on coordination," AAAI Spring Symposium, TR SS-98-05, 39-45, AAAI Press, 1998
8 T. Hogg & B. A. Huberman, 'Controlling chaos in distributed systems,' IEEE Trans. on Systems, Man and Cybernetics, 21(6):1325-1332, 1991   DOI   ScienceOn
9 N. V. Findler & R. M. Malyankar, 'An empirical approach to a hheory of coordination. Part I: Design principles and First Results,' Computational & Mathematical Organization Theory, 6(2): 119-144, 2000   DOI   ScienceOn
10 N. V. Findler & R. M. Malyankar, 'Social structures and the problem of coordination in intelligent agent societies,' IMACS World Congress 2000, 122-134, 2000
11 P. R. Cohen, Empirical Methods for Artificial Intelligence, The MIT Press, 1995
12 B. A. Huberman & N. Glance, 'Evolutionary games and computer simulation,' Proc. of the Nat. Ac. of Sciences, 90(16):7715-7718, 1993
13 T. W. Malone & K. Crowston, 'The interdisciplinary study ofcoordination,' ACM Computing Surveys, 26(1):87-119, 1994   DOI   ScienceOn
14 K. S. Decker, E. H. Durfee, & V. R. Lesser, 'Evaluating research in cooperative distributed problem solving,' In L. Gasser & M. N. Huhns, eds., Distributed Artificial Intelligence, Vol. 2, CH. 19,485-519, Morgan Kaufmann, 1989
15 R. M. Malyankar & N. V. Findler, 'A methodology for modeling coordination in intelligent agent societies,' Computational and Mathematical Organization Theory, 1, 317-345, 1998
16 B. A. Huberman & N. Glance, 'Diversity and collective action,' In H. Haken & A. Mikhailov, eds., Interdisciplinary Approaches to Nonlinear Systems, Springer, 1993
17 K. S. Decker & V. R. Lesser, 'Quantitative modeling of complex computational task environments,' In Proc. of the II-th Nat. Conf. on Artificial Intelligence, 217-224, 1993
18 N .V. Findler, 'Distributed knowledge-based systems in manufacturing,' In G. Pzevski, ed., Artificial Intelligence in Manufacturing, 17-33, Springer Verlag, 1989
19 R. Axelrod, The Evolution of Cooperation, Basic Book, NY, 1984