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Artificial Intelligence Foundations of Computational Agents 2nd Edition
출판사 : Cambridge University Press
저 자 : Poole
ISBN : 9781107195394
발행일 : 2017-9
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 820
판매가격 : 49,000원
판매여부 : 재고확인요망
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   Artificial Intelligence Foundations of Computational Agents 2nd Edition 목차

Table of Contents

Part I. Agents in the World: What Are Agents and How Can They Be Built?:
1. Artificial intelligence and agents
2. Agent architectures and hierarchical control
Part II. Reasoning, Planning and Learning with Certainty:
3. Searching for solutions
4. Reasoning with constraints
5. Propositions and inference
6. Planning with certainty
7. Supervised machine learning
Part III. Reasoning, Learning and Acting with Uncertainty:
8. Reasoning with uncertainty
9. Planning with uncertainty
10. Learning with uncertainty
11. Multiagent systems
12. Learning to act
Part IV. Reasoning, Learning and Acting with Individuals and Relations:
13. Individuals and relations
14. Ontologies and knowledge-based systems
15. Relational planning, learning, and probabilistic reasoning
Part V. Retrospect and Prospect:
16. Retrospect and prospect
Part VI. End Matter: Appendix A. Mathematical preliminaries and notation.
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Description

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.




Customer reviews

22nd Mar 2018 by Napoleonboakye1
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Wow, I love this book. I read the 2010 version online and immediately recommended it to my students and scholars who were taking Ng's ML course on Coursera. It widens your horizon in terms of intelligence. It has been broken down to a layman's understanding and a researcher's intuitiveness. The way artificial intelligence and natural intelligence was explained was best to none. This newer version comes with brevity and conciseness. A must read even if you are only interested in ML

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