Title :
An Efficient Method for Logging Strategy Using Case Based Reasoning in Soccer Simulation
Author :
Hajipour, Ali ; Heydarzadeh, Yasaman ; Haghighat, Abolfazl Toroghy ; Bastanfard, Azam
Author_Institution :
Dept. of Comput. & IT, Qazvin Azad Univ., Qazvin
Abstract :
In the real world, teams use a set of primitive strategies to achieve goal that in fact consists of consecutions of the passes and the movementspsila manner of the players for achieving goal. By using case based reasoning, it is possible, along with using primitive strategies, to register a successful succession to achieve goal, or a shot on goal, in the case base; and in the similar cases these strategies can be used. This paper proposes a new approach for registering learned strategies during games and retrieving them and also a general model for using case based reasoning which uses linked list to save key points. Efficiency of our approach has been verified by comparing two teams of which one uses the mentioned method for attacking and defending and the other lacks such capability or uses simple form of case based reasoning.
Keywords :
case-based reasoning; learning (artificial intelligence); mobile robots; multi-agent systems; multi-robot systems; sport; autonomous agent; case-based reasoning; learning-by-experiment; logging strategy; primitive strategy; robotic soccer; soccer game simulation; Artificial intelligence; Asia; Computational modeling; Computer simulation; Educational robots; Mission critical systems; Predictive models; Problem-solving; Real time systems; Robot control; Autonomous agents; Case based reasoning; Soccer simulation;
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
DOI :
10.1109/AMS.2009.19