Abstract
In this paper we describe a research project centering on experiments in which game-playing evolving agents are used to investigate the value of information. Specifically, in these experiments we define populations of agents whose strategies evolve towards those that have better restocking strategies for their supply chain. The agents evolve their strategies in order to minimize costs (either for themselves or for their value chain). We describe several different experiments in which we will vary the abilities of agents both to gather and to store more information. Part of the results of this project will be related to the value of information and computational capabilities: Is it always better to have more information? If not, what are the conditions under which less information is better? The culminating experiment is one in which evolving agents compete to sell information to other evolving agents playing their roles in a supply chain.
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References
Fangrou Chen, Decentralized supply chains subject to information delays, Management Science 45 (1999), no. 8, 1076–1090.
Free Software Foundation, Inc., GNU CLISP — an ANSI Common Lisp, http://clisp.cons.org/, June 2004.
John H. Holland, Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence, MIT Press, 1992.
John R. Koza, Genetic programming: On the programming of computers by means of natural selection, A Bradford Book/The MIT Press, 1992 (7th printing, 2000), ISBN 0-262-11170-5.
Steven O. Kimbrough, D. J. Wu, and Fang Zhong, Computers play the beer game: Can artificial agents manage supply chains?, Decision Support Systems 33 (2002), no. 3, 323–333.
Scott A. Moore and Kurt Demaagd, Beer game genetic program, http://sourceforge.net/projects/beergame/, 2004.
John Sterman, Modeling managerial behavior misperceptions of feedback in a dynamic decision making experiment, Management Science 35 (1989), no. 3, 321–339.
John D. Sterman, Teaching takes off: Flight simulators for management education, http://web.mit.edu/jsterman/www/SDG/beergame.html, 2004.
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© 2005 Springer-Verlag Berlin Heidelberg
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Moore, S.A., Demaagd, K. (2005). Investigating the Value of Information and Computational Capabilities by Applying Genetic Programming to Supply Chain Management. In: Kimbrough, S.O., Wu, D. (eds) Formal Modelling in Electronic Commerce. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26989-4_14
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DOI: https://doi.org/10.1007/3-540-26989-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21431-1
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