Coevolutionary TEMPO game Export

@proceedings{citeulike:2136607, abstract = {We present a description and initial results of a computer code that coevolves fuzzy logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO military planning game that has been used to teach resource allocation to over 20,000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place little value on information concerning the play of the opponent but rather focus on exploiting the available weapon systems.}, author = {Johnson, R. W. and Melich, M. E. and Michalewicz, Z. and Schmidt, M.}, booktitle = {Evolutionary Computation, 2004. CEC2004. Congress on}, citeulike-article-id = {2136607}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1331088}, journal = {Evolutionary Computation, 2004. CEC2004. Congress on}, keywords = {co-evolution, fuzzy, minimax, solution\_concept}, pages = {1610--1617}, posted-at = {2007-12-17 14:04:15}, priority = {2}, title = {Coevolutionary TEMPO game}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1331088}, volume = {2}, year = {2004} }

TY - CONF ID - citeulike:2136607 L3 - citeulike-article-id:2136607 N2 - We present a description and initial results of a computer code that coevolves fuzzy logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO military planning game that has been used to teach resource allocation to over 20,000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place little value on information concerning the play of the opponent but rather focus on exploiting the available weapon systems. JF - Evolutionary Computation, 2004. CEC2004. Congress on EP - 1617 TI - Coevolutionary TEMPO game VL - 2 T2 - Evolutionary Computation, 2004. CEC2004. Congress on SP - 1610 KW - co-evolution KW - fuzzy KW - minimax KW - solution_concept AU - Johnson, RW AU - Melich, ME AU - Michalewicz, Z AU - Schmidt, M PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1331088 ER -