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tesis/zotero/Mi biblioteca/files/3696/aima.cs.berkeley.edu.html
Daniel Fernandez Sotolongo 91bda89512 Documento final + publicacion
2025-10-13 15:09:40 -04:00

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--><meta charset=utf-8><title>Artificial Intelligence: A Modern Approach, 4th US ed.</title>
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<div id=blueblock><ul><li><a href=https://aima.cs.berkeley.edu/index.html>⌂ US Edition</a>
<li><a href=https://aima.cs.berkeley.edu/global-index.html>⌂ Global Edition</a>
<li><a href=https://aima.cs.berkeley.edu/ack.html><span style=font-size:smaller>Acknowledgements</span></a>
<li><a href=https://github.com/aimacode>Code</a>
<li><a href=https://aima.cs.berkeley.edu/adoptions.html>Courses</a>
<li><a href=https://aima.cs.berkeley.edu/translations.html>Editions</a>
<li><a href=https://aima.cs.berkeley.edu/errata.html>Errata</a>
<li><a href=https://aimacode.github.io/aima-exercises/>Exercises</a>
<li><a href=https://aima.cs.berkeley.edu/figures.pdf>Figures</a>
<li><a href=https://aima.cs.berkeley.edu/instructors.html>Instructors Page</a>
<li><a href=https://aima.cs.berkeley.edu/algorithms.pdf>Pseudocode</a>
<li><a href=https://aima.cs.berkeley.edu/comments.html>Reviews</a></ul></div>
<p><a href=https://aima.cs.berkeley.edu/cover.jpg><img title="US Edition" 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" width=134> </a></p></div>
<div id=top><h1>Artificial Intelligence: A Modern Approach, 4th US ed.</h1></div>
<div id=content>
<center>
<h2>by
<a href=http://www.cs.berkeley.edu/~russell style=color:#911e5c>Stuart Russell</a>
and
<a href=http://www.norvig.com/ style=color:#911e5c>Peter Norvig</a></h2>
The <a href="http://www.google.com/search?q=artificial+intelligence+textbook&amp;ie=UTF-8&amp;oe=UTF-8">authoritative</a>, <a href="https://opensyllabus.org/result/field?id=Computer+Science">most-used</a> AI textbook, adopted by over <a href=https://aima.cs.berkeley.edu/adoptions.html><b>1500</b></a> schools.
<p><p><b>Table of Contents</b> for the US Edition (or see the <a href=https://aima.cs.berkeley.edu/global-index.html>Global Edition</a>)
<table border=0 width=100%>
<tbody><tr>
<td width=50% valign=top>
<br>&nbsp;&nbsp;&nbsp;&nbsp;<a href=https://aima.cs.berkeley.edu/newchap00.pdf>Preface (pdf)</a>; <a href=https://aima.cs.berkeley.edu/contents.html>Contents with subsections</a>
<br><b>I Artificial Intelligence</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;1 Introduction ... 1
<br>&nbsp;&nbsp;&nbsp;&nbsp;2 Intelligent Agents ... 36
<br><b>II Problem-solving</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;3 Solving Problems by Searching ... 63
<br>&nbsp;&nbsp;&nbsp;&nbsp;4 Search in Complex Environments ... 110
<br>&nbsp;&nbsp;&nbsp;&nbsp;5 Adversarial Search and Games ... 146
<br>&nbsp;&nbsp;&nbsp;&nbsp;6 Constraint Satisfaction Problems ... 180
<br><b>III Knowledge, reasoning, and planning</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;7 Logical Agents ... 208
<br>&nbsp;&nbsp;&nbsp;&nbsp;8 First-Order Logic ... 251
<br>&nbsp;&nbsp;&nbsp;&nbsp;9 Inference in First-Order Logic ... 280
<br>&nbsp;&nbsp;&nbsp;&nbsp;10 Knowledge Representation ... 314
<br>&nbsp;&nbsp;&nbsp;&nbsp;11 Automated Planning ... 344
<br><b>IV Uncertain knowledge and reasoning</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;12 Quantifying Uncertainty ... 385
<br>&nbsp;&nbsp;&nbsp;&nbsp;13 Probabilistic Reasoning ... 412
<br>&nbsp;&nbsp;&nbsp;&nbsp;14 Probabilistic Reasoning over Time ... 461
<br>&nbsp;&nbsp;&nbsp;&nbsp;15 Probabilistic Programming ... 500
<br>&nbsp;&nbsp;&nbsp;&nbsp;16 Making Simple Decisions ... 528
<br>&nbsp;&nbsp;&nbsp;&nbsp;17 Making Complex Decisions ... 562
<br>&nbsp;&nbsp;&nbsp;&nbsp;18 Multiagent Decision Making ... 599
<td width=50% valign=top>
<br><b>V Machine Learning</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;19 Learning from Examples ... 651
<br>&nbsp;&nbsp;&nbsp;&nbsp;20 Learning Probabilistic Models ... 721
<br>&nbsp;&nbsp;&nbsp;&nbsp;21 Deep Learning ... 750
<br>&nbsp;&nbsp;&nbsp;&nbsp;22 Reinforcement Learning ... 789
<br><b>VI Communicating, perceiving, and acting</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;23 Natural Language Processing ... 823
<br>&nbsp;&nbsp;&nbsp;&nbsp;24 Deep Learning for Natural Language Processing ... 856
<br>&nbsp;&nbsp;&nbsp;&nbsp;25 Computer Vision ... 881
<br>&nbsp;&nbsp;&nbsp;&nbsp;26 Robotics ... 925
<br><b>VII Conclusions</b>
<br>&nbsp;&nbsp;&nbsp;&nbsp;27 Philosophy, Ethics, and Safety of AI ... 981
<br>&nbsp;&nbsp;&nbsp;&nbsp;28 The Future of AI ... 1012
<br>&nbsp;&nbsp;&nbsp;&nbsp;Appendix A: Mathematical Background ... 1023
<br>&nbsp;&nbsp;&nbsp;&nbsp;Appendix B: Notes on Languages and Algorithms ... 1030
<br>&nbsp;&nbsp;&nbsp;&nbsp;Bibliography ... 1033 (<a href=https://aima.cs.berkeley.edu/Bibliography.pdf>pdf</a> and <a href=https://aima.cs.berkeley.edu/aima4e.bib>LaTeX .bib file</a> and <a href=https://aima.cs.berkeley.edu/bibcounts.html>bib data</a>)
<br>&nbsp;&nbsp;&nbsp;&nbsp;Index ... 1069 (<a href=https://aima.cs.berkeley.edu/Index.pdf>pdf</a>)
<br>
<br>&nbsp;&nbsp;&nbsp;&nbsp;<a href=https://aimacode.github.io/aima-exercises/>Exercises (website)</a>
<br>&nbsp;&nbsp;&nbsp;&nbsp;<a href=https://aima.cs.berkeley.edu/figures.pdf>Figures (pdf)</a>
<br>&nbsp;&nbsp;&nbsp;&nbsp;<a href=https://github.com/aimacode>Code (website)</a>; <a href=https://aima.cs.berkeley.edu/algorithms.pdf>Pseudocode (pdf)</a>
<br>&nbsp;&nbsp;&nbsp;&nbsp;Covers: <a href=https://aima.cs.berkeley.edu/cover.jpg>US</a>, <a href=https://aima.cs.berkeley.edu/global-cover.jpg>Global</a>
</table>
<p></p></center></div><div id=footer><table width=100%><tbody><tr><td><i>⌂ AI: A Modern Approach</i><td align=right>Modified: Aug 22, 2022</table></div>
</div>