论文信息 - Fuzzy Inference Based Forecasting in Soccer Simulation 2D, the RoboCup 2015 Soccer Simulation 2D League Champion Team

Fuzzy Inference Based Forecasting in Soccer Simulation 2D, the RoboCup 2015 Soccer Simulation 2D League Champion Team

WrightEagle is the champion of RoboCup 2D simulation league, the latest technic used in WrightEagle will be presented in this paper. This paper introduces the application of fuzzy inference system in WrightEagle. The fuzzy inference system is built without knowledge of the mathematical description of the opponents. With the fuzzy inference system, we are able to forecast the actions of the opponents in some aspects. Once we can forecast the actions of the opponents, we can make corresponding decisions.

Xiao Li | Xiaoping Chen | Xiaoping Chen | Xiao Li

[1] Michio Sugeno,et al. Industrial Applications of Fuzzy Control , 1985 .

[2] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..

[3] Feng Wu,et al. Online planning for large MDPs with MAXQ decomposition , 2012, AAMAS.

[4] Xiaoping Chen,et al. The Decision-Making Framework of WrightEagle, the RoboCup 2013 Soccer Simulation 2D League Champion Team , 2013, RoboCup.

[5] Ebrahim H. Mamdani,et al. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[6] Feng Wu,et al. Towards a Principled Solution to Simulated Robot Soccer , 2012, RoboCup.

[7] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .

[8] Thomas G. Dietterich. The MAXQ Method for Hierarchical Reinforcement Learning , 1998, ICML.