Artificial Intelligence Foundations of Computational Agents 1st Edition by David Poole, Alan Mackworth 0521519004 9780521519007

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Product details:

ISBN 10: 0521519004

ISBN 13: 9780521519007 

Author: David L. Poole, Alan K. Mackworth

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book’s straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. It teaches the main principles and tools that will allow readers to explore and learn on their own. The text is supported by an online learning environment, artint.info, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system for experimentation and problem solving.

Artificial Intelligence Foundations of Computational Agents 1st Table of contents:

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
II Representing and Reasoning
3 States and Searching
4 Features and Constraints
5 Propositions and Inference
6 Reasoning Under Uncertainty
III Learning and Planning
7 Learning: Overview and Supervised Learning8 Planning with Certainty
8 Planning with Certainty
9 Planning Under Uncertainty
10 Multiagent Systems
11 Beyond Supervised Learning
IV Reasoning About Individuals and Relations
12 Individuals and Relations
13 Ontologies and Knowledge-Based Systems
14 Relational Planning, Learning, and Probabilistic Reasoning
V The Big Picture
15 Retrospect and Prospect

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