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THEORETICAL FRAMWORK TO LEARN OPPONENT'S MIXED STRATEGY: PLAYING "PAPER,SCISSOR, ROCK" BY EVOLVING ADAPTIVE NEURAL NETWORKS
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| dc.contributor.author | M.S.KHAN | |
| dc.contributor.author | W.M.QAZI | |
| dc.contributor.author | S.LODHI | |
| dc.date.accessioned | 2023-03-14T05:13:57Z | |
| dc.date.available | 2023-03-14T05:13:57Z | |
| dc.date.issued | 2009-03-08 | |
| dc.identifier.issn | 0030-9877 | |
| dc.identifier.uri | http://142.54.178.187:9060/xmlui/handle/123456789/18934 | |
| dc.language.iso | en | en_US |
| dc.publisher | Lahore: Pakistan Association for the Advancement of Science | en_US |
| dc.title | THEORETICAL FRAMWORK TO LEARN OPPONENT'S MIXED STRATEGY: PLAYING "PAPER,SCISSOR, ROCK" BY EVOLVING ADAPTIVE NEURAL NETWORKS | en_US |
| dc.type | Article | en_US |
