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Immerse yourself in the fascinating universe of artificial intelligence with our extensive collection of free books on the subject in PDF format. Artificial intelligence, a constantly evolving discipline, encompasses the study and development of systems and algorithms capable of imitating or simulating human intelligence.
- James E. Davidson
- Richard Chestek
- Robert Engelmore
- Peter Friedland
- Pamela McCorduck
- Lee Erman (ISI)
- Kenneth Kahn (MIT)
- Andrew Silverman
- David E. Smith Dennis Smith
Thomas Dietterich Contributors Robert Anderson (Rand)
Kenneth Clarkson Randall Davis (MIT) Gerard Dechen Johan de Kleer (Xerox)
Ramez El-Masiri (Honeywell) Susan Epstein (Rutgers U) Robert Filman (Indiana U) Fritz Fisher Christian Freksa (UC Berkeley)
Richard Gabriel Michael Genesereth Neil Goldman (ISI) Ira Goldstein (Xerox)
Robert Moore (SRI) Richard Pattis Neil C. Rowe Gregory Ruth (MIT) Daniel Sagalowicz (SRI) Behrokh Samadi Reviewers
Adele Goldberg (Xerox) Cordell Green (SCI) Norman Haas (SRI)
Production Lester Ernest Marion Hazen David Fuchs Dianne Kanerva William Scherlis (CMU)
Donald Smith (Rutgers U) Phillip Smith (U Waterloo) Reid G. Smith (Canadian DREA) William Swartout (MIT) William van Melle Richard Waldinger (SRI)
Mark Stefik (Xerox) Albert Stevens (BBN) Allan Terry Perry Thorndyke (Rand)
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Jun 6, 2023 · When choosing artificial intelligence books for beginners in PDF, consider your current level of knowledge and interests. Here are a few tips for selection: Beginners should look for guides that offer a basic introduction to artificial intelligence, explaining fundamental principles and terminology.
Feb 14, 2024 · "Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities.
Dec 9, 2020 · The handbook is a reference work, a textbook, a guide to programming techniques and to the extensive literature of the field, and a book for intellectual browsing. Jargon has been eliminated in each of the short, penetrating articles, and the hierarchical organization of the book allows readers to choose how deeply they wish to delve into a particular subject.
The book concentrates on the important ideas in machine learning. I do not give proofs of many of the theorems that I state, but I do give plausibility arguments and citations to formal proofs. And, I do not treat many matters that would be of practical importance in applications; the book is not a handbook of machine learning practice.
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Aug 22, 2022 · Preface (pdf); Contents with subsections I Artificial Intelligence 1 Introduction ... 1 2 Intelligent Agents ... 36 II Problem-solving 3 Solving Problems by Searching ... 63 4 Search in Complex Environments ... 110 5 Adversarial Search and Games ... 146 6 Constraint Satisfaction Problems ... 180 III Knowledge, reasoning, and planning
