Investigating the performance of minimax search and aggregate mahalanobis distance function in evolving an Ayo/Awale Player
| dc.contributor.author | Randle, O. A. | en_US |
| dc.contributor.author | Olugbara, Oludayo O. | en_US |
| dc.contributor.author | Lall, M. | en_US |
| dc.date.accessioned | 2014-05-15T06:29:02Z | |
| dc.date.available | 2014-05-15T06:29:02Z | |
| dc.date.issued | 2012 | |
| dc.description.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. | en_US |
| dc.dut-rims.pubnum | DUT-002176 | en_US |
| dc.format.extent | 4 p | en_US |
| dc.identifier.citation | 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. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10321/975 | |
| dc.language.iso | en | en_US |
| dc.publisher | World Academy of Science, Engineering and Technology | en_US |
| dc.subject | Mahalanobis Distance | en_US |
| dc.subject | Strategic Game | en_US |
| dc.subject | Awale | en_US |
| dc.subject | Minimax search | en_US |
| dc.title | Investigating the performance of minimax search and aggregate mahalanobis distance function in evolving an Ayo/Awale Player | en_US |
| dc.type | Article | en_US |