Knowledge- And Learning-based Methods In Intelligent Game Playing
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Knowledge- And Learning-based Methods In Intelligent Game Playing
Humans And Machines Are Very Di?erent In Their Approaches To Game Pl- Ing. Humans Use Intuition, Perception Mechanisms, Selective Search, Creat- Ity, Abstraction, Heuristic Abilities And Other Cognitive Skills To Compensate Their (comparably) Slow Information Processing Speed, Relatively Low M- Ory Capacity, And Search Abilities. Machines, On The Other Hand, Are Extremely Fast And Infallible In Calculations, Capable Of E?ective Brute-for- Type Search, Use Unlimited Memory Resources, But At The Same Time Are Poor At Using Reasoning-based Approaches And Abstraction-based Methods.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Jacek Mandziuk
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出版日期: 2012-03-01
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页数: 276
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 557251272-1125521150
- ISBN: 9783642262135
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