aima.cs.berkeley.eduArtificial Intelligence: A Modern Approach
aima.cs.berkeley.edu Profile
aima.cs.berkeley.edu
Maindomain:berkeley.edu
Title:Artificial Intelligence: A Modern Approach
Description：AIMA Home Code Contents Courses Errata Instructors (Third edition) by Stuart Russell and Peter Norvig The leading textbook in Artificial Intelligence. Used in over 1400 universities in over 125 countr
Discover aima.cs.berkeley.edu website stats, rating, details and status online.Use our online tools to find owner and admin contact info. Find out where is server located.Read and write reviews or vote to improve it ranking. Check alliedvsaxis duplicates with related css, domain relations, most used words, social networks references. Go to regular site
aima.cs.berkeley.edu Information
| Website / Domain: | aima.cs.berkeley.edu |
| HomePage size: | 9.847 KB |
| Page Load Time: | 0.020101 Seconds |
| Website IP Address: | 128.32.189.73 |
| Isp Server: | University of California |
aima.cs.berkeley.edu Ip Information
| Ip Country: | United States |
| City Name: | Berkeley |
| Latitude: | 37.869201660156 |
| Longitude: | -122.2564239502 |
aima.cs.berkeley.edu Keywords accounting
| Keyword | Count |
|---|
aima.cs.berkeley.edu Httpheader
| Date: Sun, 02 Feb 2020 00:18:23 GMT |
| Server: Apache |
| Last-Modified: Wed, 29 Jan 2020 18:19:42 GMT |
| ETag: "225c-59d4b62625f6e-gzip" |
| Accept-Ranges: bytes |
| Vary: Accept-Encoding,User-Agent |
| Content-Encoding: gzip |
| Content-Length: 3186 |
| Content-Type: text/html |
aima.cs.berkeley.edu Meta Info
128.32.189.73 Domains
| Domain | WebSite Title |
|---|
aima.cs.berkeley.edu Similar Website
| Domain | WebSite Title |
|---|---|
| Artificial Intelligence: A Modern Approach | |
| A.I. Maker | A Maker’s Approach to Artificial Intelligence | |
| Artificial intelligence - SRI | |
| Artificial Intelligence Depot | |
| Stanford Artificial Intelligence Laboratory | | |
| Berkeley AI (CS188: Artificial Intelligence) | |
| Aggie Artificial Intelligence Society | |
| OpenAi - - Creating the standard for Artificial Intelligence | |
| Artificial Intelligence Computing Leadership from NVIDIA | |
| Artificial Intelligence Computing Leadership from NVIDIA | |
| SAS Analytics Artificial Intelligence and Data | |
| Artificial Intelligence Computing Leadership from NVIDIA | |
| Charles Schwab | A modern approach to investing & retirement | |
| Forex/Stock Trading Software with Artificial Intelligence | |
| Charles Schwab A modern approach to investing & retirement |
aima.cs.berkeley.edu Traffic Sources Chart
aima.cs.berkeley.edu Alexa Rank History Chart
aima.cs.berkeley.edu Html To Plain Text
AIMA Home Code Contents Courses Errata Instructors (Third edition) by Stuart Russell and Peter Norvig The leading textbook in Artificial Intelligence. Used in over 1400 universities in over 125 countries. The 22nd most cited computer science publication on Citeseer (and 4th most cited publication of this century). What's New Free Online AI course , Berkeley's CS 188, offered through edX . Comments and Discussion Comments from readers Errata list (errors in the book) AIMA-talk discussion list, open to all AI Resources on the Web AI Resources in many categories AI courses that are using AIMA (1400 schools) Online Code Repository Pseudo-code algorithms from the book in pdf . Online code at aimacode project on Github. Online demos (Java applets and Javascript) The OpenNERO 3D multiagent simulator For the Instructor AI Instructor's Resource Page Getting the Book From the publisher , other online sellers or a local library E-book: CourseSmart , Kindle , Nook , Cafe Scribe , Kno Previous editions: 1st , 2nd, translations Table of Contents [ Full Contents ] Preface [ html ] Part I Artificial Intelligence 1 Introduction ... 1 2 Intelligent Agents ... 34 Part II Problem Solving 3 Solving Problems by Searching ... 64 4 Beyond Classical Search ... 120 5 Adversarial Search ... 161 6 Constraint Satisfaction Problems ... 202 Part III Knowledge and Reasoning 7 Logical Agents ... 234 8 First-Order Logic ... 285 9 Inference in First-Order Logic ... 322 10 Classical Planning ...366 11 Planning and Acting in the Real World ... 401 12 Knowledge Representation ... 437 Part IV Uncertain Knowledge and Reasoning 13 Quantifying Uncertainty ... 480 14 Probabilistic Reasoning ... 510 15 Probabilistic Reasoning over Time ... 566 16 Making Simple Decisions ... 610 17 Making Complex Decisions ...645 Part V Learning 18 Learning from Examples ...693 19 Knowledge in Learning ... 768 20 Learning Probabilistic Models ... 802 21 Reinforcement Learning ... 830 Part VI Communicating, Perceiving, and Acting 22 Natural Language Processing ... 860 23 Natural Language for Communication ... 888 24 Perception ... 928 25 Robotics ... 971 Part VII Conclusions 26 Philosophical Foundations ... 1020 27 AI: The Present and Future ... 1044 A Mathematical Background [ pdf ] ... 1053 B Notes on Languages and Algorithms [ pdf ] ... 1060 Bibliography [ pdf and histograms ] ... 1063 Index [ html or pdf ] ... 1109 AI: A Modern Approach Modified: Jan 17, 2020...