A Study on Virtual Market for Pareto Optimal Mediation in Economic Society
Toshiya Kaihara and
Susumu Fujii
Additional contact information
Toshiya Kaihara: Kobe University
Susumu Fujii: Kobe University
A chapter in Developments on Experimental Economics, 2007, pp 207-212 from Springer
Abstract:
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.
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-68660-6_21
Ordering information: This item can be ordered from
http://www.springer.com/9783540686606
DOI: 10.1007/978-3-540-68660-6_21
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().