What is Artificial Intelligence (HTML version),
John McCarthy, Stanford University.
An important introductory paper for undergraduate students.
This Web page has links to other versions of John McCarthy's paper.
If the above link is not operational, then you can read
(Local Copy of the March 29, 2003 version): "ps" - PostScript and "pdf" - Acrobat Reader formats.
(Local Copy of the November 12, 2007 version):
Part 1: Basic Questions Part 2: Branches of AI Part 3: Applications Part 4: More Questions Part 5: Bibliography
Why can't my computer understand me? (August 16, 2013).
This article was published in the New Yorker magazine to celebrate
the talk presented by Professor
Hector Levesque on occasion of the Research Excellence Award that
he received in August 2013 at the
premier international conference on
The Turing Test:
Computing Machinery and Intelligence by Alan Turing,
published in "Mind", vol. LIX, N 236, pages 433-460, October, 1950.
Because of the advancement in software agents technologies,
nowdays this test has commercial applications discussed in
this New York Times article (NY Times, December 10, 2002) and in
several other articles.
The recent CAPTCHA project has a goal
of developing electronic tests that can tell humans and computers apart.
Patrick Hayes and Kenneth Ford
Turing Test Considered Harmful. This paper was published in the proceedings of the International Joint Conference on AI (IJCAI-1995), Montreal Canada, August 20-25, 1995.
Building Watson (a computer that won in Jeopardy competition over
"An overview of the DeepQA project" by
David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David
Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric
Nyberg, John Prager, Nico Schlaefer, Chris Welty from IBM Research.
Published in "AI Magazine", vol 31, N3, 2010, pp. 59-79.
Watson's Jeopardy! Challenge Web site at IBM Research.
Prakash M Nadkarni, Lucila Ohno-Machado, and Wendy W Chapman.
Natural language processing: an introduction. This paper includes a
discussion of IBM "Watson" technology. Published in: Journal of the
American Medical Informatics Association, 2011, volume 18, issue 5;
Sep-Oct 2011, pages 544-551.
For those of you who want to learn more about games.
You can read about
General Game Playing Project and also about
Artificial Intelligence and
Knowledge-based model of mind and its contribution to sciences.
An Interview with Ed Feigenbaum, a professor from
Published in ``Communications of the ACM'', Vol. 53 No. 6, Pages 41-45.
Where is AI Heading?
"Eye on the Prize" by
Stanford University. Published in "AI Magazine", vol 16, N2, 1995, pp. 9-17.
How do you teach a computer common sense? Researchers at a company
called Cycorp in Austin, Texas, are trying to find out. Since 1984, they
have been incorporating a huge collection of everyday knowledge in an AI
The Cyc project aims to develop a comprehensive common sense knowledge base,
and associated reasoning systems. They are now being used to
enable the development of knowledge-intensive applications for industry
Why people think computers can't, written by
Massachusetts Institute of Technology.
"AI Magazine", vol. 3, N4, Fall 1982, p. 3-15.
SHRDLU, a program for understanding natural language, written by Terry
Winograd at the M.I.T. Artificial Intelligence Laboratory in 1968-70.
SHRDLU carried on a simple dialog with a user, about a small world of objects
(the BLOCKS world).
Terry Winograd is professor of computer science at
this Web site collects information about subsequent versions and updates.
Thinking machines: Can there be? Are we?, Terry Winograd, Stanford University.
Programs with Common Sense, John McCarthy, Stanford University.
How Intelligent is Deep Blue?, by Drew
McDermott, Yale University.
[This is the original, long version of an article that appeared in the May 14, 1997 New York Times with more flamboyant title.]
If the link above fails, download a local copy.
A Gamut of Games. This article reviews the past successes,
current projects, and future research directions for AI using computer games
as a research test bed. Written by
University of Alberta, Canada.
Published in ``AI Magazine'', volume 22, number 3, pp. 29-46, 2001.
The Scientific Relevance of Robotics. Remarks at the Dedication of
the CMU Robotics Institute.
Published in the AI Magazine, Vol 2, No 1, Spring 1981.
When Robots Meet People: Research Directions In Mobile Robotics
Sebastian Thrun, Stanford University. He is a head of the team that
built Stanley, the robotic car. Stanley was judged to be the "Best Robot
Of All Time" by Wired Magazine, and
NOVA shot a great
documentary about Stanley and the race, which is available online
Natural Born Robots,
Scientific American Frontiers.
Robots, Re-Evolving Mind written by
Carnegie Mellon University. He also provides a photo of
Shakey, the robot.
A chat about the future of AI with
Rensselaer Polytechnic Institute. (Previously, he has worked at
University of Maryland.)
The next generation of WWW can benefit from the AI-inspired technologies:
``Semantic Web Services"
by McIlraith, S., Son, T.C. and Zeng, H. Published in IEEE Intelligent Systems, Special
Issue on the Semantic Web, 16(2):46--53, March/April, 2001 (Copyright IEEE, 2001).
This paper is available from
Sheila McIlraith web page in Stanford University. Additional
Web Services Activity is
provided by Semantic Web Services Interest Group.
Tim Berners-Lee, the inventor of the WWW, thinks about evolution of the Web in
the 21st century.
Here is Tim Berners-Lee's
Semantic Web Road-map,
written in September 1998.
The additional information:
American: The Semantic Web (a new form of Web content that is meaningful to computers).
This paper has been published in
Scientific American (May, 2001). The paper is written by
Tim Berners-Lee, James Hendler and Ora Lassila.
The Future of the Web: Tim Berners-Lee's Testimony before the United
States House of Representatives Committee (on 2007-03-01).
"A logical framework for depiction and image interpretation",
R. Reiter (Univ. of Toronto), and A. Mackworth (Univ. of British Columbia).
Artificial Intelligence, vol 41, N 2, 1989, pp. 125-155.
Logical vs.Analogical or Symbolic vs. Connectionist or Neat vs. Scruffy, written by
Massachusetts Institute of Technology. Published in
"AI Magazine", vol 12, N 2, 1991, pp. 34-51.
Reasoning with Cause and Effect,
a research excellence lecture by
Judea Pearl, Univ. of California,
From here to human-level AI, John McCarthy, Stanford University.
Christof Koch (Professor of Cognitive and Behavioral Biology,
California Institute of Technology)
The Quest for Consciousness: A Neurobiological Approach
March 22, 2006, UC Berkeley Campus.
Pieces of mind,
Scientific American Frontiers.
Computer programs as empirical models in cognitive psychology:
Herbert Simon, the Psychology Department at Carnegie Mellon University.
Human beings use symbolic processes to solve problems,
reason, speak and write, learn and invent. Over the past 45 years,
cognitive psychology has built and tested empirical models of these processes.
The models take the form of computer programs that
simulate human behavior.
What has AI in Common with Philosophy?, John McCarthy,
Mathematical Intuition vs. Mathematical Monsters,
Synthese, 2000, p.317-332, written by
Solomon Feferman, Stanford University. See also his paper
The Logic of Mathematical.
Discovery. Vs. the Logical. Structure of Mathematics reprinted as
Chapter 3 in the book "In the Light of Logic". Author: Solomon
Feferman. (Oxford University Press, 1998, ISBN 0-19-508030-0,
Logic and Computation in Philosophy series).
Where Mathematics Comes From", written by George Lakoff and Rafael Nunez,
published by "Basic Books".
Book review: "Where Mathematics Come From, Reviewed by
James J. Madden,
Department of Mathematics, Louisiana State University.
Asimov, Isaac: "Robot Visions" and "Robot Dreams", there are
several paperback editions.
cps721 (Artificial Intelligence).