Models of strategic rationality
Models of strategic rationality
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
On Artificial Agents for Negotiation in Electronic Commerce
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 4: Organizational Systems and Technology
On artificial agents for negotiation in electronic commerce
On artificial agents for negotiation in electronic commerce
Journal of Management Information Systems - Special section: Information technology and its organizational impact
A Brokerage Framework for Internet Commerce
Distributed and Parallel Databases - Special issue on electronic commerce
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Artificial agents learn policies for multi-issue negotiation
International Journal of Electronic Commerce - Special issue: Systems for computer-mediated digital commerce
Using temporal-difference learning for multi-agent bargaining
Electronic Commerce Research and Applications
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Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling adaptive behavior in multilateral negotiations and developing practical applications in electronic commerce. Results from simulations of bargaining in two coalition games demonstrate that simple artificial agents, adapting to one another under a genetic programming protocol (Koza, 1992), formulate effective strategies for negotiating agreements that both approximate those prescribed by the theory of cooperative games and rival the performance of humans negotiating in a laboratory situation.