DocumentCode
2780383
Title
A distributed multiobjective approach to negotiations in semi-competitive environments
Author
Richter, Jan ; Moser, Irene
Author_Institution
Swinburne Univ. of Technol., Melbourne, VIC, Australia
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
7
Abstract
Realistic negotiation settings in socio-economic contexts are distributed multi-attribute scenarios in which negotiators act largely selfishly but make concessions in the interests of long-term gains. These semi-competitive environments have increasingly complex goal structures in which a single negotiator has difficulty identifying his own ideal goals. In combination with the conflicting goals of other parties to the negotiations, the situation presents itself as a complex multi-objective scenario with incomplete information. Most existing approaches to this problem either assume linear or monotonic functions or they employ an unbiased mediator to select a single proposal as the basis of an agreement. Existing approaches also assume that each negotiating party can identify her own acceptance limit or reservation utility. The current work overcomes these limitations by introducing a distributed approach which integrates another party´s proposals into the local optimisation process. It employs a dynamic coceding strategy which is not dependent on the identification of a reservation utility.
Keywords
optimisation; socio-economic effects; acceptance limit; distributed multi-attribute scenarios; distributed multiobjective approach; dynamic coceding strategy; incomplete information; linear functions; monotonic functions; optimisation process; realistic negotiation settings; reservation utility; semi-competitive environment negotiations; socio-economic contexts; Benchmark testing; Context; Contracts; Optimization; Proposals; Resource management; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-1510-4
Electronic_ISBN
978-1-4673-1508-1
Type
conf
DOI
10.1109/CEC.2012.6252952
Filename
6252952
Link To Document