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An Agent-Based Framework for Assessing the Cost of Committal Search in Supply Networks

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Multi-Agent-Based Simulation X (MABS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5683))

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Abstract

The common assumption of unbounded rationality overlooks the facts that decision makers hold beliefs that influence their choices, and that agreement search between agents with conflicting interests is in itself a costly process. As a consequence, the actual cost of negotiation is seldom considered in optimisation literature. The aim of this paper is to contribute to the development of decision methods that distinguish between the costs of intra-agent (deliberative) and inter-agent (committal) searches of information by using a behaviour model produced by optimising agents’ profit subject to the Cobb-Douglas production function. We propose and test a computational model of rent-seeking, haggling agents for explicitly assessing the cost of committal search. Simulation experiments show that the strategic value of good initial price estimates is higher when these estimates are very close to the actual equilibrium prices, and that agreements may be reached quicker by more selfish agents.

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References

  1. Simon, H.: A behavioral model of rational choice. Quarterly Journal of Economics 69, 99–118 (1955)

    Article  Google Scholar 

  2. Simon, H.: Rational choice and the structure of the environment. Psychological Review 63, 129–138 (1956)

    Article  Google Scholar 

  3. Sandholm, T.W.: Distributed Rational Decision Making. In: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, pp. 201–258. MIT Press, Cambridge (1999)

    Google Scholar 

  4. Weiskircher, R., Kontoleon, N., Garcia-Flores, R., Dunstall, S.: Using agents for solving a multi-commodity-flow problem. European Journal of Operational Research 194(3), 888–900 (2009)

    Article  MATH  Google Scholar 

  5. Tesfatsion, L.: Agent-based computational economics: Growing economies from the bottom up. Artificial Life 8, 55–82 (2002)

    Article  Google Scholar 

  6. Tesfatsion, L.: Economic agents and markets as emergent phenomena. Proceedings of the National Academy of Sciences of the United States of America 99, 7191–7192 (2002)

    Article  Google Scholar 

  7. McBride, M.: Computational labs, department of economics university of miami (2007), http://mcbridme.sba.muohio.edu/ace/labs/

  8. Tesfatsion, L.: Agent-based computational economics webpage, iowa state university (2007), http://mcbridme.sba.muohio.edu/ace/labs/

  9. Brooks, C., Gazzale, R., Das, R., Kephart, J., Mackie-Mason, J., Durfee, E.: Model selection in an information economy: Choosing what to learn. Computational Intelligence 8, 566–582 (2002)

    Article  MathSciNet  Google Scholar 

  10. Gabaix, X., Laibson, D., Moloche, G., Weinberg, S.: Costly information acquisition: Experimental analysis of a boundedly rational model. The American Economic Review 96, 1043–1068 (2006)

    Article  Google Scholar 

  11. Kaihara, T.: Supply chain management with market economics. International Journal of Production Economics 73, 5–14 (2001)

    Article  Google Scholar 

  12. Kaihara, T.: Multi-agent based supply chain modelling with dynamic environment. International Journal of Production Economics 85, 263–269 (2003)

    Article  Google Scholar 

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GarcĂ­a-Flores, R., Weiskircher, R., Kontoleon, N., Dunstall, S. (2010). An Agent-Based Framework for Assessing the Cost of Committal Search in Supply Networks. In: Di Tosto, G., Van Dyke Parunak, H. (eds) Multi-Agent-Based Simulation X. MABS 2009. Lecture Notes in Computer Science(), vol 5683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13553-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-13553-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13552-1

  • Online ISBN: 978-3-642-13553-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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