Knowledge Free Learning Based Methods Intelligent by Mandziuk Jacek (21 results)

- Hardcover
- First Edition
Seller: Underground Books, ABAA, Indianapolis, IN, U.S.A.Underground Books, ABAA
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Hardcover. Condition: Very good +. First Edition. First Edition. Hardcover. 9 1/2" X 6 1/2". xviii, 254pp. First edition, with full number line indicating first printing. Very mild shelf wear to covers and edges of paper over boards. Bumps to corners. Pages are clean and unmarked. Binding is firm, tight, and sound. ABOUT THIS BO…OK: Humans and machines are very dfferent in their approaches to game playing. Humans use intuition, perception mechanisms, selective search, creativity, abstraction, heuristic abilities and other cognitive skills to compensate their (comparably) slow information processing speed, relatively low memory capacity, and limited search abilities. Machines, on the other hand, are extremely fast and infallible in calculations, capable of effective brute-force type search, use "unlimited" memory resources, but at the same time are poor at using reasoning-based approaches and abstraction-based methods. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most diffcult research area lies on the junction between human-compatible knowledge and machine compatible processing. I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (abstraction, intuition, creativity, selective attention, and others) while still taking advantage of intrinsic machine skills.(Publisher).

- Hardcover
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- Softcover
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- Hardcover
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- Hardcover
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- Softcover
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Condition: New. pp. 276.

- Hardcover
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- Softcover
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Paperback. Condition: Brand New. 2010 edition. 272 pages. 9.20x6.10x0.63 inches. In Stock.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Knowledge-Free and Learning-Based Methods in Intelligent Game Playing | Jacek Mandziuk | Taschenbuch | Studies in Computational Intelligence | xviii | Englisch | 2012 | Springer | EAN 9783642262135 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 limited 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. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (- straction,intuition,creativity,selectiveattention,andother)whilestilltaking advantage of intrinsic machine skills. Thebookisfocusedonthedevelopmentsandprospectivechallengingpr- lems in the area of mind gameplaying (i.e. playinggames that require mental skills) using Computational Intelligence (CI) methods, mainly neural n- works, genetic/evolutionary programming and reinforcement learning.

- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Softcover
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- Softcover
- Print on Demand
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- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 (c…omparably) slow information processing speed, relatively low m- ory capacity, and limited 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. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (- straction,intuition,creativity,selectiveattention,andother)whilestilltaking advantage of intrinsic machine skills. Thebookisfocusedonthedevelopmentsandprospectivechallengingpr- lems in the area of mind gameplaying (i.e. playinggames that require mental skills) using Computational Intelligence (CI) methods, mainly neural n- works, genetic/evolutionary programming and reinforcement learning. 272 pp. Englisch.

- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. provides a comprehensive overview of Knowledge-free 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 me…chanisms, selective search, c.

- Hardcover
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Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. provides a comprehensive overview of Knowledge-free 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, per…ception mechanisms, selective search, c.

- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 276 39 Illus.

- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 276.

- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 (compa…rably) slow information processing speed, relatively low m- ory capacity, and limited 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. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F¿ urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (- straction,intuition,creativity,selectiveattention,andother)whilestilltaking advantage of intrinsic machine skills. Thebookisfocusedonthedevelopmentsandprospectivechallengingpr- lems in the area of mind gameplaying (i.e. playinggames that require mental skills) using Computational Intelligence (CI) methods, mainly neural n- works, genetic/evolutionary programming and reinforcement learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.