Introduction

Archive-name: ai-faq/general/part4
Last-Modified: Wed Nov 27 09:43:19 1996 by Mark Kantrowitz
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Maintainer: Mark Kantrowitz <mkant+ai-faq@cs.cmu.edu>
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;;; ****************************************************************
;;; Answers to Questions about Artificial Intelligence *************
;;; ****************************************************************
;;; Written by Mark Kantrowitz
;;; ai_4.faq

This part of the AI FAQ provides a bibliography of good introductory
texts and overviews of AI and specific subfields of AI. If you feel
that there is a reference or set of references which should be added
to this FAQ, or references which should be removed, please send email
to mkant+ai-faq@cs.cmu.edu.  When suggesting references to be
included in a particular subfield, only suggest the best two or three
references (or a particularly well-written overview). It is NOT the
intention of this listing to be a comprehensive AI bibliography.

Books suggested by their authors must present a strongly argued case.
Also, I generally will include books in this list only after I have
had a chance to look at them.  If you are the author or publisher of a
new AI-related text, and you want me to consider your book for this
list, send a complimentary copy to Mark Kantrowitz, School of Computer
Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh,
PA 15213-3891 USA. Please don't waste my time with books that are
clearly not appropriate for this list. When I am done with the book I
will donate it to the CMU Engineering & Science Library.

Part 4 (Bibliography):
  Bibliography of introductory texts, overviews and references
  Addresses and phone numbers for major AI publishers

Outline:
   [0]  AI book publication announcements mailing list
   [1]  AI in general (Introductions, Overviews)
   [1a] Major AI Publishers
   [1b] How do I get a copy of the proceedings to conference <x>?
   [1c] How do I get a copy of <x>'s PhD dissertation?
   [1d] Tech Reports, Abstracts, etc.
   [2]  Search and Game Playing
   [3]  Knowledge Representation
   [4]  Logic
   [5]  Planning
   [6]  Natural Language Processing (NLP)
   [6b] Speech Recognition and Synthesis
   [7]  Connectionism and Neural Nets
   [8]  Machine Learning
   [9]  Case-Based Reasoning
   [10] Genetic Algorithms
   [11] Production Systems, Expert Systems and Match Algorithms
   [12] Integrated AI Architectures
   [13] Fuzzy Logic
   [14] Artificial Life and Cellular Automata
   [15] Qualitative Physics and Model Based Reasoning
   [16] Task-specific Architectures for Problem Solving
   [17] Automated Deduction
   [18] Probabilistic Reasoning
   [19] Nonmonotonic Reasoning and Truth Maintenance Systems (TMS)
   [20] Robotics and Computer Vision
   [21] Distributed AI
   [22] User/Agent Modeling
   [23] Philosophy of AI
   [24] What is Cyc? (Common Sense)
   [25] Miscellaneous: PhD Theses
   [26] Videotapes and Magazines
   [27] Constraint-based Scheduling
   [28] Music and AI
   [29] AI and Education
   [30] Blackboard Architectures
   [31] Temporal Reasoning and Modal Logic
   [32] Data Mining

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