Decision support for extensive form negotiation games

Authors:
Sujata Ghosh;Thiri Haymar Kyaw;Rineke Verbrugge
Affiliations:
Indian Statistical Institute, Chennai, India;Department of Artificial Intelligence, University of Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, The Netherlands
Venue:
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Year:
2012

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Abstract

This paper presents a tool, NEGEXT, for finding individual and group strategies to achieve certain goals while playing extensive form negotiation games. NEGEXT is used as a model-checking tool which investigates the existence of strategies in negotiation situations. We consider sequential and parallel combinations of such games also. Thus, it may aid students of negotiation in their understanding of extensive game-form negotiation trees and their combinations, as well as in their learning to construct individual and group strategies.