⚠ To see the ‘Sheet book‘ and ‘Table of associated records‘ go the bottom, Pag. 2, Pag. 3.
A review of the book for research, educational and recommendations.
Recommendation numbered, Nº: 01042020p1
📘 url personal use : |🔓 1 Openaccess – 🛒 2 to buy | (Copy & paste at the browser)
-Openaccess address: artint.info/2e
-Paid version address: bit.ly/2UWpq3Y
Summary
“Artificial Intelligence: Foundations of Computational Agents, second edition, Cambridge University Press 2017, is a book about the science of artificial intelligence (AI). It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This book provides an accessible synthesis of the field aimed at undergraduate and graduate students. It provides a coherent vision of the foundations of the field as it is today. It aims to provide that synthesis as an integrated science, in terms of a multi-dimensional design space that has been partially explored. As with any science worth its salt, artificial intelligence has a coherent, formal theory and a rambunctious experimental wing. The book balances theory and experiment, showing how to link them intimately together. It develops the science of AI together with its engineering applications”. (Source: artint.info/2e/index.html)
Chapters
1 Artificial Intelligence and Agents
2 Agent Architectures and Hierarchical Control
3 Searching for Solutions
4 Reasoning with Constraints
5 Propositions and Inference
6 Planning with Certainty
7 Supervised Machine Learning
8 Reasoning with Uncertainty
9 Planning with Uncertainty
10 Learning with Uncertainty
11 Multiagent Systems
12 Learning to Act
13 Individuals and Relations
14 Ontologies and Knowledge-Based Systems
15 Relational Planning, Learning, and Probabilistic Reasoning
16 Retrospect and Prospect
A Mathematical Preliminaries and Notation
Author
[Unofficial biography. For informational purposes only]
David Poole
Professor in the Department of Computer Science, University of British Columbia and the director of the Laboratory for Computational Intelligence. The winner of the Canadian AI Association (CAIAC), 2013 Lifetime Achievement Award. He is a Fellow of the Association for the Advancement of Artificial Intelligence, and a fellow of CAIAC. A former chair of the Association for Uncertainty in Artificial Intelligence. During the 2014-2015 academic year, He was a Leverhulme Trust visting professor at the University of Oxford. (Source: cs.ubc.ca/~poole).
Alan Mackworth
Professor of Computer Science at the University of British Columbia. Rducated at Toronto (B.A.Sc.), Harvard (A.M.) and Sussex (D.Phil.). He works on constraint-based artificial intelligence with applications in vision, robotics, situated agents, assistive technology and sustainability. He is known as a pioneer in the areas of constraint satisfaction, robot soccer, hybrid systems and constraint-based agents. He has authored over 120 research papers and co-authored two books: Computational Intelligence: A Logical Approach (1998) and Artificial Intelligence: Foundations of Computational Agents (2010). President and Trustee of International Joint Conferences on AI (IJCAI) Inc.; he is on the IJCAI Executive Committee. He has served on many editorial boards and program committees. Was VP and President of the Canadian Society for Computational Studies of Intelligence (CSCSI). He served as President of the Association for the Advancement of Artificial Intelligence (AAAI). He has received the ITAC/NSERC Award for Academic Excellence, the Killam Research Prize, the Artificial Intelligence Journal Classic Paper Award, the CSCSI Distinguished Service Award, the AAAI Distinguished Service Award, the Association for Constraint Programming Award for Research Excellence and the Lifetime Achievement Award of the Canadian AI Association (CAIAC). He served as the founding Director of the UBC Laboratory for Computational Intelligence. He is a Fellow of AAAI, CAIAC, the Canadian Institute for Advanced Research and the Royal Society of Canada. (Source: cs.ubc.ca/~mack/Biography.htm).
Please, thank the author and Publisher
Thank you very much for this work to @davpoole and @AlanMackworth and @CambridgeUP, via @States_AI_IA #ai #artificialintelligence #ia #inteligenciaartificial #openscience #openaccess #thebibleai #ebook
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