WP055: Compensatory Negotiation for Agent-Based Project Schedule Optimization and Coordination

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Abstract/Contents

Abstract
This paper presents a formalized negotiation methodology for distributed project schedule optimization - a framework wherein a project can be rescheduled dynamically by all of the concerned project participants. The negotiation methodology is developed to allow agents to transfer utility to other agents for compensation of disadvantageous agreements through a multi-linked negotiation process, which leads to an individually rational and globally optimal solution. The electronic commerce system based on this negotiation methodology will allow software assistant agents to evaluate the impact of their changes and advise the human subcontractors. A multi-agent prototype system will test and verify the distributed project schedule optimization framework and will provide a foundation for facilitating collaboration among project participants over the Internet. The negotiation methodology for coordinating subcontractors may also be extended to electronic supply-chain issues.

Description

Type of resource text
Date created January 2000

Creators/Contributors

Author Kim, Keesoo
Author Paulson, Boyd C. Jr.
Author Petrie, Charles J. Jr
Author Lesser, Victor R.

Subjects

Subject CIFE
Subject Center for Integrated Facility Engineering
Subject Stanford University
Subject Electronic Commerce
Subject Multi-Agent System
Subject Negotiation
Subject Scheduling
Genre Technical report

Bibliographic information

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Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Kim, Keesoo and Paulson, Boyd C. Jr. and Petrie, Charles J. Jr and Lesser, Victor R.. (2000). WP055: Compensatory Negotiation for Agent-Based Project Schedule Optimization and Coordination. Stanford Digital Repository. Available at: http://purl.stanford.edu/xp323pp1268

Collection

CIFE Publications

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