Abstract
Market-oriented programming is a new approach to design and implementation of resource allocation mechanisms in computer systems [1]. It has its roots in different disciplines, such as economics and computer science, in particular the area of multi-agent systems. There are our previous researches to apply market-oriented programming into resource allocation problems [2,3]. And the Pareto optimality in market-oriented programming was left into microeconomics, and never tried to be proved in these approaches using multi-agent programming. In this paper we construct a Walrasian type virtual market, that is a principal market model in microeconomics, and try to confirm the Pareto optimality in our market model by comparing the solutions with a conventional analytic approach, named fixed-point algorithm.
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References
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© 2007 Springer-Verlag Berlin Heidelberg
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Kaihara, T., Fujii, S. (2007). A Study on Virtual Market for Pareto Optimal Mediation in Economic Society. In: Oda, S.H. (eds) Developments on Experimental Economics. Lecture Notes in Economics and Mathematical Systems, vol 590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68660-6_21
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DOI: https://doi.org/10.1007/978-3-540-68660-6_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68659-0
Online ISBN: 978-3-540-68660-6
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