Artificial Intelligence: Foundations of Computational Agents 

Textbook for junior to advanced undergraduates and first-year graduate students. It introduces artificial intelligence (AI) using a consistent framework to study the design of intelligent computing agents.

artificial intelligence foundations of computational agents artificial intelligence foundations of computational agents answers artificial intelligence foundations of computational agents exercise solutions artificial intelligence foundations of computational agents ebook python code for artificial intelligence foundations of computational agents pdf free download

Book Description:

Artificial intelligence, including machine learning, has become a transformative discipline of science and engineering. Artificial Intelligence: Computer Agent Fundamentals introduces AI using a consistent framework to study the design of intelligent computing agents. By showing how fundamental approaches fit into a multi-dimensional design space, readers learn the fundamentals without losing sight of the big picture. The new edition also features extensive coverage of the machine learning literature, as well as the social and ethical implications of AI and ML. The book balances theory and practice, showing how to connect them and extend the science of AI with its technical 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.

Table of contents :

Machine generated contents note:

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. Representing and Reasoning: 3. States and searching

4. Features and constraints
5. Propositions and inference
6. Reasoning under uncertainty

Part III. Learning and Planning: 7. Learning: overview and supervised learning

8. Planning with certainty
9. Planning under uncertainty
10. Multiagent systems
11. Beyond supervised learning

Part IV. Reasoning about Individuals and Relations: 12. Individuals and relations

13. Ontologies and knowledge-based systems
14. Relational planning, learning and probabilistic reasoning

Part V. The Big Picture: 15. Retrospect and prospect

Appendix A. Mathematical preliminaries and notation.

About Author

David L. Poole is a Professor of Computer Science at the University of British Columbia. He is a co-author of three artificial intelligence books including Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (2016). He is a former Chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) 2013 Lifetime Achievement Award, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and CAIAC.

 

Artificial Intelligence: Foundations of Computational Agents

Author(s): David L. Poole; Alan K Mackworth

Publisher: Cambridge University Press, Year: 2017

ISBN: 110719539X,9781107195394

Read Online

 

Artificial Intelligence PDF


Download

Download

Download


Download


Buy From Amazon

Thanks For Visiting Our Website http://www.freepdfbook.com To Support Us, Keep Share On Social Media.
Search Results For Keywords Artificial Intelligence: Foundations of Computational Agents
artificial intelligence foundations of computational agents
artificial intelligence foundations of computational agents answers
artificial intelligence foundations of computational agents exercise solutions
artificial intelligence foundations of computational agents ebook
python code for artificial intelligence foundations of computational agents