MAXIMIZING WELFARE THROUGH COOPERATIVE NEGOTIATION IN A MULTI-AGENT INTERNET ECONOMY

Author:

DASGUPTA PRITHVIRAJ1,MELLIAR-SMITH P. MICHAEL2,MOSER LOUISE E.2

Affiliation:

1. Department of Computer Science, University of Nebraska, Omaha, NE 68182, USA

2. Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA

Abstract

E-commerce over the Internet has become an attractive means of conducting business in today's world. However, the principles of classical economics demand a fresh insight before they can be adapted to the market structure presented by the Internet. Here, we investigate markets for goods that are characterized by an experience-limited supply curve. We propose an algorithm that maximizes the welfare in the e-market by maximizing the combined profit of the buyers and sellers. For this, the buyers and sellers must reveal their value and cost curves to a trusted intermediary who can determine the transaction that maximizes their joint welfare. We show that accurate revelation of hidden profits offers better incentives, both to the buyers and the sellers, than inaccurate or incomplete revelation.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous),Computer Science (miscellaneous)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Formation Control and Obstacle Avoidance for Multi-Agent Systems Based on Virtual Leader-Follower Strategy;International Journal of Information Technology & Decision Making;2017-04-20

2. A Decision-Making Model of Social Shopping in Franchising: Assessing Collaboration Strategies;International Journal of Information Technology & Decision Making;2015-03

3. AN OPTIMAL TRUST MANAGEMENT METHOD TO PROTECT PRIVACY AND STRENGTHEN OBJECTIVITY IN UTILITY COMPUTING SERVICES;International Journal of Information Technology & Decision Making;2011-03

4. SDpro — THE SOFTWARE PACKAGE FOR STATISTICAL PROCESSING OF EXPERIMENTAL INFORMATION;International Journal of Information Technology & Decision Making;2010-01

5. AN INCENTIVE MECHANISM FOR AD-HOC WIRELESS CONTENT SERVICE: CONTEXTUALIZED MICRO PRICING;International Journal of Information Technology & Decision Making;2010-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3