The ability of Nash's theory of cooperative games to predict the outcomes of
Management Science
Distributed Artificial Intelligence
Distributed Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Management Information Systems - Special section: Information technology and its organizational impact
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace
Electronic Commerce Research - Special issue on agents in electronic commerce
Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace
E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand
Formal aspects of electronic commerce: research issues and challenges
International Journal of Electronic Commerce - Special issue: Systems for computer-mediated digital commerce
An object-oriented architecture for intelligent virtual receptionists
International Journal of Electronic Commerce - Special issue: Intelligent agents for electronic commerce
Artificial Agents for Discovering Business Strategies for Network Industries
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business
Journal of Management Information Systems
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A well-established body of research consistently shows that people involved in multiple-issue negotiations frequently select Pareto-inferior agreements that "leave money on the table." Using an evolutionary computation approach, we show how simple, boundedly rational, artificial, adaptive agents can learn to negotiate effectively in stylized business negotiations. Furthermore, there is the promise that these agents can be integrated into practicable electronic commerce systems that not only would leave less money on the table, but would enable new types of transactions to be negotiated cost effectively.