Type of Document Dissertation Author LoPinto, Frank Anthony URN etd-04282004-110741 Title An Agent-Based Distributed Decision Support System Framework for Mediated Negotiation Degree PhD Department Business Information Technology Advisory Committee
Advisor Name Title Ragsdale, Cliff T. Committee Chair Matheson, Lance Arthur Committee Member Rees, Loren Paul Committee Member Tillar, Roberta Russell Committee Member Zobel, Christopher W. Committee Member Keywords
- Linear Programming
- Web Services
- Decision Support Systems
- Conjoint Analysis
Date of Defense 2004-04-26 Availability unrestricted AbstractImplementing an e-market for limited supply perishable asset (LiSPA) products is a problem at the intersection of online purchasing and distributed decision support systems (DistDSS). In this dissertation, we introduce and define LiSPA products, provide real-world examples, develop a framework for a distributed system to implement an e-market for LiSPA products, and provide proof-of-concept for the two major components of the framework.
The DistDSS framework requires customers to instantiate agents that learn their preferences and evaluate products on their behalf. Accurately eliciting and modeling customer preferences in a quick and easy manner is a major hurdle for implementing this agent-based system. A methodology is developed for this problem using conjoint analysis and neural networks.
The framework also contains a model component that is addressed in this work. The model component is presented as a mediator of customer negotiation that uses the agent-based preference models mentioned above and employs a linear programming model to maximize overall satisfaction of the total market.
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