Computational Intelligence: A Logical Approach provides a unique and integrated introduction to artificial intelligence. It weaves a unifying theme--an intelligent agent acting in its environment-- through the core issues of AI, placing them into a coherent framework. Rather than giving a surface treatment of an overwhelming number of topics, it covers fundamental concepts in depth, providing a foundation on which students can build an understanding of modern AI. This logical approach clarifies and integrates representation and reasoning fundamentals, leading students from simple to complex ideas with clear motivation. The authors develop AI representation schemes and describe their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots that find information in rich information sources. The authors' website (http://www.cs.ubc.ca/spider/poole/ci.html) offers extensive support for the text, including source code, interactive Java scripts, various pedagogical aids, and an interactive environment for developing and debugging knowledge bases.
Ideal for upper-level undergraduate and introductory graduate courses in artificial intelligence, Computational Intelligence encourages students to explore, implement, and experiment with a series of progressively richer representations that capture the essential features of more and more demanding tasks and environments.
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David I. Poole is Associate Professor and Alan K. Mackworth is Professor, both at the University of British Columbia. Randy G. Goebel is Professor and Associate Chair, Computer Science Department, University of Alberta.
"From the title one gets the sense of a fresh approach. Its use of case studies to intertwine theory and practice is excellent."--Jonathan Hodgson, St. Joseph's University
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Hardcover. Condition: new. Hardcover. Computational Intelligence: A Logical Approach provides a unique and integrated introduction to artificial intelligence. It weaves a unifying theme--an intelligent agent acting in its environment-- through the core issues of AI, placing them into a coherent framework. Rather than giving a surface treatment of an overwhelming number of topics, it covers fundamental concepts in depth, providing a foundation on which students can build an understanding ofmodern AI. This logical approach clarifies and integrates representation and reasoning fundamentals, leading students from simple to complex ideas with clear motivation. The authors develop AI representationschemes and describe their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots that find information in rich information sources. The authors' website html) offers extensive support for the text, including source code, interactive Java scripts, various pedagogical aids, and an interactive environment for developing and debugging knowledge bases. Ideal for upper-level undergraduate and introductory graduatecourses in artificial intelligence, Computational Intelligence encourages students to explore, implement, and experiment with a series of progressively richer representations that capture the essentialfeatures of more and more demanding tasks and environments. An introductory textbook on artificial intelligence aimed at junior/senior undergraduate and graduate level students. The theme features an intelligent agent acting in its own environment which to places the core concept of AI in a coherent and cohesive framework, making it easier to teach and learn from. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780195102703
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Hardcover. Condition: new. Hardcover. Computational Intelligence: A Logical Approach provides a unique and integrated introduction to artificial intelligence. It weaves a unifying theme--an intelligent agent acting in its environment-- through the core issues of AI, placing them into a coherent framework. Rather than giving a surface treatment of an overwhelming number of topics, it covers fundamental concepts in depth, providing a foundation on which students can build an understanding ofmodern AI. This logical approach clarifies and integrates representation and reasoning fundamentals, leading students from simple to complex ideas with clear motivation. The authors develop AI representationschemes and describe their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots that find information in rich information sources. The authors' website html) offers extensive support for the text, including source code, interactive Java scripts, various pedagogical aids, and an interactive environment for developing and debugging knowledge bases. Ideal for upper-level undergraduate and introductory graduatecourses in artificial intelligence, Computational Intelligence encourages students to explore, implement, and experiment with a series of progressively richer representations that capture the essentialfeatures of more and more demanding tasks and environments. An introductory textbook on artificial intelligence aimed at junior/senior undergraduate and graduate level students. The theme features an intelligent agent acting in its own environment which to places the core concept of AI in a coherent and cohesive framework, making it easier to teach and learn from. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780195102703
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