Abstract
Multi-Agent Systems (MAS) promise to offer solutions to problems where established, older paradigms fall short. To be able to keep promises, however, indepth studies of advantages and weaknesses of MAS solutions versus conventional ones in practical applications are needed. In this paper we offer one such study. Climate control in large buildings is one application area where MAS, and market-oriented programming in particular, have been reported to be very successful. We have therefore constructed and implemented a variety of market designs for this problem, as well as different standard control engineering solutions. This paper gives a detailed analysis and comparison, so as to learn about differences between standard versus MAS approaches, and yielding new insights about benefits and limitations of computational markets.
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References
A. Andersson and F. Ygge. Managing large scale computational markets. 1997. In preparation.
W.N. Borst, J.M. Akkermans, and J.L. Top. Engineering ontologies. International Journal of Human-Computer Studies, 46:365–406, 1997. ISBN 1071-5819.
J.M. Bradshaw. Software Agents. AAAI Press/The MIT Press, Menlo Park, CA, 1997.
S. Clearwater and B. Huberman. Thermal markets for controlling building environments. Energy Engineering, 91(3):25–56, 1994.
R. Davis and R. G. Smith. Negotiation as a metaphor for distributed problem solving. Artificial Intelligence, (20):63–109, 1983.
B. A. Huberman and S. Clearwater. A multi-agent system for controlling building environments. In Proceedings of the First International Conference on Multi-Agent Systems ICMAS'95, pages 171–176, Menlo Park, CA, June 12–14 1995. AAAI Press/The MIT Press.
F.P. Incropera and D.P. De Witt. Fundamentals of Heat and Mass Transfer, third edition. Wiley and Sons, New York, 1990. ISBN 0-471-51729-1.
T.S. Kuhn. The Structure of Scientific Revolutions. The University of Chicago Press, Chicago, IL, 1970. Second Edition.
J. F. Kurose and R. Simha. A microeconomic approach to optimal resource allocation in distributed computer systems. IEEE Transactions on Computers, 38(5):705–717, 1989.
K. Ogata. Modern Control Engineering, Secod Edition. Prentice-Hall, Englewood Cliffs, NJ, 1990. ISBN 0-13-589128-0.
M. Wellman. A market-oriented programming environment and its application to distributed multicommodity flow problems. Journal of Artificial Intelligence Research, (1):1–23, 1993.
F. Ygge and J.M. Akkermans. Power load management as a computational market. In M. Tokoro, editor, Proceedings of the Second International Conference on Multi-Agent Systems ICMAS'96, pages 393–400, Menlo Park, CA, December 9–14 1996. AAAI Press.
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Ygge, F., Akkermans, H. (1997). Making a case for Multi-Agent Systems. 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_32
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DOI: https://doi.org/10.1007/3-540-63077-5_32
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