Title
Knowledgefree And Learningbased Methods In Intelligent Game Playing (Studies In Computational Intelligence, 276)
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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 Brutefor Type Search, Use Unlimited Memory Resources, But At The Same Time Are Poor At Using Reasoningbased Approaches And Abstractionbased 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 Humancompatible 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 Humantype 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.
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- Q: What is the main focus of the book 'Knowledge-Free and Learning-Based Methods in Intelligent Game Playing'? A: The book focuses on the differences between human and machine approaches to game playing, emphasizing the integration of human-like cognitive abilities with machine efficiency.
- Q: Who is the author of this book? A: The author of the book is Jacek Mandziuk.
- Q: What topics are covered in this book? A: The book covers developments in mind game playing using Computational Intelligence methods, including neural networks, genetic programming, and reinforcement learning.
- Q: When was 'Knowledge-Free and Learning-Based Methods in Intelligent Game Playing' published? A: The book was published on February 28, 2010.
- Q: What is the binding type of this book? A: The book is available in hardcover binding.
- Q: How many pages does the book contain? A: The book contains 272 pages.
- Q: Is this book suitable for beginners in game playing or AI? A: While the book discusses complex concepts, it is suitable for readers interested in the intersection of cognitive science and machine learning in game playing.
- Q: What is the condition of the book? A: The book is in new condition.
- Q: What category does this book fall under? A: The book falls under the category of Intelligence & Semantics.
- Q: Does the book include practical applications of the discussed methods? A: Yes, the book discusses prospective challenges and practical applications of Computational Intelligence in game playing.