%0 Conference Paper %1 Jin:2005:CIG %A Jin, Nanlin %A Tsang, Edward %B IEEE 2005 Symposium on Computational Intelligence and Games CIG'05 %C Essex, UK %D 2005 %E Kendall, Graham %E Lucas, Simon %I IEEE Press %K Bargaining Co-evolution, GP, Theory algorithms, genetic programming, %P 211--217 %T Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem %U http://cswww.essex.ac.uk/Research/CSP/finance/papers/JinTsa-Bargaining-Cig2005.pdf %X We apply an Evolutionary Algorithm (EA) to solve the Rubinstein's Basic Alternating-Offer Bargaining Problem, and compare our experimental results with its analytic game-theoretic solution. The application of EA employs an alternative set of assumptions on the players' behaviours. Experimental outcomes suggest that the applied co-evolutionary algorithm, one of Evolutionary Algorithms, is able to generate convincing approximations of the theoretic solutions. The major advantages of EA over the game-theoretic analysis are its flexibility and ease of application to variants of Rubinstein Bargaining Problems and complicated bargaining situations for which theoretic solutions are unavailable.

@inproceedings{Jin:2005:CIG, abstract = {We apply an Evolutionary Algorithm (EA) to solve the Rubinstein's Basic Alternating-Offer Bargaining Problem, and compare our experimental results with its analytic game-theoretic solution. The application of EA employs an alternative set of assumptions on the players' behaviours. Experimental outcomes suggest that the applied co-evolutionary algorithm, one of Evolutionary Algorithms, is able to generate convincing approximations of the theoretic solutions. The major advantages of EA over the game-theoretic analysis are its flexibility and ease of application to variants of Rubinstein Bargaining Problems and complicated bargaining situations for which theoretic solutions are unavailable.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Essex, UK}, author = {Jin, Nanlin and Tsang, Edward}, biburl = {https://www.bibsonomy.org/bibtex/27f89bc0ec54350c5eb2e54ce2e4402bf/brazovayeye}, booktitle = {IEEE 2005 Symposium on Computational Intelligence and Games CIG'05}, editor = {Kendall, Graham and Lucas, Simon}, email = {njin@essex.ac.uk, edward@essex.ac.uk}, interhash = {fd080c5d62bde2452c5418da9f96b331}, intrahash = {7f89bc0ec54350c5eb2e54ce2e4402bf}, keywords = {Bargaining Co-evolution, GP, Theory algorithms, genetic programming,}, month = {4-6 April}, organisation = {Computational Intelligence Society}, pages = {211--217}, publisher = {IEEE Press}, size = {7 pages}, timestamp = {2008-06-19T17:42:26.000+0200}, title = {Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem}, url = {http://cswww.essex.ac.uk/Research/CSP/finance/papers/JinTsa-Bargaining-Cig2005.pdf}, year = 2005 }