| Book Name: | Artificial Intelligence: Foundations of Computational Agents |
| Category: | Artificial Intelligence |
| Language: | English |
| Format: | |
| Free Download: | Available |
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.
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
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