Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/975
Title: Investigating the performance of minimax search and aggregate mahalanobis distance function in evolving an Ayo/Awale Player
Authors: Randle, O. A.
Olugbara, Oludayo O. 
Lall, M.
Keywords: Mahalanobis Distance;Strategic Game;Awale;Minimax search
Issue Date: 2012
Publisher: World Academy of Science, Engineering and Technology
Source: Randle, O.A.; Olugbara, O.O.; Lall M. 2012. Investigating the Performance of Minimax Search and Aggregate Mahalanobis Distance Function in Evolving an Ayo/Awale Player. World Academy of Science, Engineering and Technology, 68, 194-197.
Abstract: In this paper we describe a hybrid technique of Minimax search and aggregate Mahalanobis distance function synthesis to evolve Awale game player. The hybrid technique helps to suggest a move in a short amount of time without looking into endgame database. However, the effectiveness of the technique is heavily dependent on the training dataset of the Awale strategies utilized. The evolved player was tested against Awale shareware program and the result is appealing.
URI: http://hdl.handle.net/10321/975
Appears in Collections:Research Publications (Accounting and Informatics)

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