A co-evolutionary approach to strategy design for decision makers in complex negotiation situations

Bonnie Rubenstein-Montano, Ross Malaga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The literature on automated techniques suggests that such techniques might be useful for complex decision making where other approaches have proven limited. We present a genetic technique that assists decision makers develop strategies for decision making in complex, multi-objective and multi-person negotiation situations. Strategies are evolved with significant input from decision makers to enhance the acceptability of solutions in real world applications. The preferences of all decision makers are integrated into the search so that solutions are consistent with the needs of all participants in the negotiation situation and further ensure the implementability of solutions in practice. Results show that the outcomes achieved by all parties involved in the negotiation are improved significantly when the genetic search is used to help devise strategies for the negotiation participants.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
PublisherIEEE Computer Society
ISBN (Electronic)0769504930
StatePublished - 2000
Event33rd Annual Hawaii International Conference on System Sciences, HICSS 2000 - Maui, United States
Duration: 4 Jan 20007 Jan 2000

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2000-January
ISSN (Print)1530-1605

Conference

Conference33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
CountryUnited States
CityMaui
Period4/01/007/01/00

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