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Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
Review
The most comprehensive book on AI, Jan 31 2004
By D Ray (Toronto)
Artificial Intelligence: A modern approach is definitely the most comprehensive book on AI I have come across. The latest edition covers everything from KR and Machine Learning to Robotics and Statistical learning, and has new chapters on Constraint Satisfaction Problems and Planning.
Artificial Intelligence has diverse branches and it's hard to see the correlations between them. This book manages to take a very innovative "agent" approach and tries to show some parallels between very disparate methods.
In my opinion, each branch of AI has made great progress by itself but more work needs to be done in trying to combine the different approaches together and create more comprehensive systems. The book does Read more... Categories
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Animal | Application |Art | Artificial Intelligence | Business | Certification | Commerce | Computer - Hardware | Databases | Electronics | Engineering | Grammar | History | Intelligence | Internet | IT - General | Language | Magazine | Medical | Photographic | Networking| Programming | Security | Uncategorized | WWW
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Posted: March 13th, 2008, 10:22pm CET
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Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
Review
The most comprehensive book on AI, Jan 31 2004
By D Ray (Toronto)
Artificial Intelligence: A modern approach is definitely the most comprehensive book on AI I have come across. The latest edition covers everything from KR and Machine Learning to Robotics and Statistical learning, and has new chapters on Constraint Satisfaction Problems and Planning.
Artificial Intelligence has diverse branches and it's hard to see the correlations between them. This book manages to take a very innovative "agent" approach and tries to show some parallels between very disparate methods.
In my opinion, each branch of AI has made great progress by itself but more work needs to be done in trying to combine the different approaches together and create more comprehensive systems. The book does Read more... Full download