TY - GEN
T1 - A co-evolutionary approach to strategy design for decision makers in complex negotiation situations
AU - Rubenstein-Montano, Bonnie
AU - Malaga, Ross
N1 - Publisher Copyright:
© 2000 IEEE
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84901039411&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84901039411
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
PB - IEEE Computer Society
T2 - 33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
Y2 - 4 January 2000 through 7 January 2000
ER -