Date: Wed, 16 Sep 92 10:29:59 EDT
From: ashwin@cc.gatech.edu (Ashwin Ram)
Message-Id: <9209161429.AA01403@leo.cc.gatech.edu>
To: mkant+@cs.cmu.edu (Mark Kantrowitz)
In-Reply-To: mkant+@cs.cmu.edu's message of Tue, 15 Sep 1992 17:33:25 GMT
Subject: Re: comments on AI FAQ
Reply-To: ashwin@cc.gatech.edu (Ashwin Ram)

Mark,

I think your FAQ is a great idea.  Yes, it does seem a little biased in
places, but with contributions from the audience it should even out in time.
At Georgia Tech we have a standard reading list for our qualifying exams for
admission to PhD candidacy, which is a list of readings we consider important
and fundamental, covering a wide range of AI topics.  You might consider
adding these references to your lists since they cover a pretty broad range
of approaches and schools of thought.

-- Ashwin.

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James S. Albus, Outline for A Theory of Intelligence.

S. Amarel, On Representations of Problems on Reasoning about Actions,
reprinted in Nilsson & Webber (ed.), Readings in Artificial Intelligence,
Tioga Press.

J.R. Anderson, A Spreading Activation Theory of Memory.  Reprinted in
Readings in Cognitive Science, Collins & Smith (eds.), section 2.4.

J.R. Anderson, Acquisition of Cognitive Skill.  Reprinted in Readings in
Cognitive Science, Collins & Smith (eds.), section 4.2.

M. Arbib, Perceptual Structures and Distributed Motor Control.  Handbook of
Physiology -- The Nervous System II, Brooks (ed.), American Physiological
Society, pp. 1449-1465, 1981.

R.C. Arkin, Motor Schema Based Mobile Robot Navigation.  International
Journal of Robotics Research, vol. 8 no. 4, August 1989.

B. Porter, R. Bareiss & R.C. Holte, Concept learning and heuristic
classification in weak-theory domains, Machine Learning.  Reprinted in
Readings in Machine Learning, Shavlik & Dietterich (ed.), section 5.3.2.

L. Birnbaum, Lexical Ambiguity as a Touchstone for Theories of Language
Analysis.  Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, pp. 815-820, 1985.

L. Birnbaum, Integrated Processing in Planning and Understanding, Ph.D.
Thesis, Research Report #489, Yale University, 1986.

L. Birnbaum & M. Selfridge, Conceptual Analysis of Natural Language.  In
Schank & Riesbeck (eds.), Inside Computer Understanding: Five Programs Plus
Miniatures, pp. 318-353, chapter 13.  Hillsdale, NJ: Lawrence Erlbaum, 1981.

R.J. Brachman, On the epistemological status of semantic networks.  In N.V.
Findler (ed.), Associative Networks, pp. 318-353.  New York: Academic Press,
1979.

R. Brooks, A robust layered control system for a mobile robot, IEEE Journal
of Robotics and Automation, 2(1):14-23.

J.S. Brown & K. VanLehn, Repair Theory: A Generative Theory of Bugs in
Procedural Skills.  Reproduced in Readings in Cognitive Science, Collins &
Smith (eds.), section 4.1.

B. Chandrasekaran, Generic Tasks as Building Blocks for Knowledge-Based
Systems: The Diagnosis and Routine Design Examples.  Knowledge Engineering
Review, 3(3):183-219, 1988.

E. Charniak, Passing Markers: A Theory of Contextual Influence in Language
Comprehension.  Cognitive Science, 7, 171-190, 1983.

R. Davis, Interactive transfer of expertise, AI journal.

T. Dean, Temporal Planning, AI journal.

G. DeJong & R. Mooney, Explanation-Based Learning: An Alternative View,
Machine Learning 1, 1986.  Reprinted in Readings in Machine Learning, Shavlik
& Dietterich (ed.).

J. de Kleer. How Circuits Work.  Artificial Intelligence, 24:205-280, 1984.

J. de Kleer & J.S. Brown, Assumptions and Ambiguities in Mechanistic Mental
Models.  Reprinted in Readings in Cognitive Science, Collins & Smith (eds.),
section 2.9.

D. Dennett, Intensional Systems, in Brainstorms, 1978.  Reprinted in Mind
Design: Philosophy, Psychology, Artificial Intelligence, chapter 8, pp.
220-242, J. Haugeland (ed.), MIT Press, 1981.

T. Dietterich, Learning at the Knowledge Level, Machine Learning 1, 1986.
Reprinted in Readings in Machine Learning, Shavlik & Dietterich (eds.),
section 1.1.1.

Doyle, A Truth Maintainence System, AI 12(3), 1979.  Reprinted in Nilsson &
Webber (ed.), Readings in Artificial Intelligence, section 5.7.

W. Lehnert, M.G. Dyer, P.N. Johnson, C.J. Yang & S. Harley, BORIS --- An
Experiment in In-Depth Understanding of Narratives, W. Lehnert, AI 20, pp.
15-62, 1983.

K.P. Eiselt, Inference Processing and Error Recovery in Sentence
Understanding, Ph.D. thesis, Technical Report 89-24, University of
California, Irvine, 1989.

Fikes, Hart & Nilsson, STRIPS, AI journal, pp.189-208, 1972.  Reprinted in
Readings in Machine Learning, Shavlik & Dietterich (eds.), section 4.2.3.
Summarized in the Handbook of AI, vol. I, pp. 128-134, and vol. III, pp.
523-530.

D. Gentner, Structure-Mapping: A Theoretical Framework for Analogy, 1983.
Reprinted in Readings in Cognitive Science, Collins & Smith (eds.), section
3.2.

A.K. Goel, Integrating Case-Based Reasoning and Model-Based Reasoning for
Adaptive Design Problem Solving, Ph.D. thesis, Department of Computer and
Information Science, The Ohio State University, 1989.

K. Hammond, Case-Based Planning: Viewing Planning as a Memory Task, 1989,
Boston, MA: Academic Press.

Hewitt, Planner paper, IJCAI 1969, pp. 296-301.

P.J. Hayes, The Frame Problem and Related Problems in AI.  Reprinted in
Nilsson & Webber (ed.), Readings in Artificial Intelligence, 1980.

P.J. Hayes, Naive Physics I: Ontology for Liquids, in Theories of the
Commonsense World, Hobbs (ed.), 1984.  Also reprinted in Readings in
Cognitive Science, Collins & Smith (eds.), section 2.8.

Hayes-Roth & Hayes-Roth, A Cognitive Model of Planning, Cog Sci vol. 3, pp.
275-310, 1979.

J.L. Kolodner, Case-based reasoning, Morgan Kaufman, in press.

J.L. Kolodner & R. Simpson, The MEDIATOR: Analysis of an Early Case-Based
Problem Solver, Cognitive Science 13, pp. 507-549, 1989.

J. Laird, A. Newell & P. Rosenbloom.  SOAR: An Architecture for General
Intelligence.  Artificial Intelligence, 33:1-64, 1987.

D. Lenat, The Ubiquity of Discovery, AI vol. 9, 1977.  Reprinted in Nilsson &
Webber (ed.), Readings in Artificial Intelligence, 3.3.1.

D. Lenat & R. Guha.  Building Large Knowledge-Based Systems, chapters 1-2.

D. Marr, Vision, 1982.

J. McCarthy & P. Hayes, Some Philosophical Problems from the Standpoint of
AI, in Machine Intelligence 4, Meltzer & Michie (eds.), 1969.  Reprinted in
Readings in Artificial Intelligence (Advanced Topics), pp. 431-450.

D. McDermott, "Artificial Intelligence Meets Natural Stupidity," in Mind
Design: Philosophy, Psychology, Artificial Intelligence, J. Haugeland (ed.),
chapter 5, pp. 143-160, MIT Press, 1981.

D. McDermott, Planning and Acting, Cognitive Science, vol. 2, 1978.
Reprinted in Readings in Planning, section 4.3.

D. McDermott & E. Davis, Planning Routes through Uncertain Territory,
Artificial Intelligence 22, 107-156, 1984.

McDermott & Doyle, Non-monotonic Logic I, AI vol. 13, Nos. 1 & 2, 1980.

M. Minsky, Matter, Mind and Models.  In M. Minsky (ed.), Semantic Information
Processing, pp. 227-270.  Cambridge, MA: MIT Press, 1968.  Short version in
Semantic Information Processing, chapter 9, pp 425-432.

M. Minsky, A Framework for representing knowledge, in The Psychology of
Computer Vision, P.H. Winston (ed.), McGraw-Hill, 1975.  Reprinted in Mind
Design: Philosophy, Psychology, Artificial Intelligence, J. Haugeland (ed.),
MIT Press, 1981.  Also reprinted in Readings in Cognitive Science, Collins &
Smith (eds.), section 2.5.

T.M. Mitchell, Generalization as search, AI journal.  Reprinted in Readings
in Machine Learning, Shavlik & Dietterich (eds.), section 2.2.3.

T.M. Mitchell, R.M. Keller & S.T. Kedar-Cabelli, Explanation-Based
Generalization: A Unifying View, Machine Learning 1, 1986.  Reprinted in
Readings in Machine Learning, Shavlik & Dietterich (eds.), section 4.2.1.

A. Newell. The Knowledge Level.  Artificial Intelligence, 18(1):87-127, 1982.
Also in AI Magazine, Summer 1981, pp. 1-20.

A. Newell & H.A. Simon, The Theory of Human Problem Solving.  Reprinted in
Readings in Cognitive Science, Collins & Smith (eds.), section 1.3.

A. Newell & H.A. Simon, GPS, A Program that Simulates Human Thought,
reprinted in Computers and Thought, Feigenbaum & Feldman (eds.), 1963.  Also
reprinted in Readings in Cognitive Science, Collins & Smith (eds.), section
5.3.

A. Newell & H.A. Simon 75, Computer Science as Empirical Enquiry: Symbols &
Search.  Reprinted in Mind Design: Philosophy, Psychology, Artificial
Intelligence, J. Haugeland (ed.), chapter 1, pp. 35-66, MIT Press, 1981.

D. Norman and T. Shallice, Attention to Action: Willed and Automatic control
of Behavior, from Consciousness and Self-Regulation: Advances in Research and
Theory, vol. 4, Plenum 1986.

M.R. Quillian, The Teachable Language Comprehender: A Program to Understand
English, CACM.

M.R. Quillian, Semantic Memory.  In M. Minsky (ed.), Semantic Information
Processing, pp. 227-270.  Cambridge, MA: MIT Press, 1968.  Reprinted in
Readings in Cognitive Science, Collins & Smith (eds.), section 2.1.

A. Ram, A Theory of Questions and Question Asking, The Journal of the
Learning Sciences, 1(3,4), 1991.

A. Ram.  Indexing, Elaboration and Refinement: Incremental Learning of
Explanatory Cases.  Machine Learning journal, special issue on Case-Based
Reasoning and Learning, 1993, to appear.

A. Ram and M. Cox, Introspective Reasoning using Meta-Explanations for
Multistrategy Learning.  In R.S. Michalski and G. Tecuci (eds.), Machine
Learning: A Multistrategy Approach, Volume IV, Morgan Kaufman, 1993, to
appear.

E. Rosch, Principles of Categorization.  Reprinted in Readings in Cognitive
Science, Collins & Smith (eds.), section 3.3.

D.E. Rumelhart, G.E. Hinton & R.J. Williams, Learning internal
representations by error propagation, PDP book, 1986.  Reprinted in Readings
in Machine Learning, Shavlik & Dietterich (eds.), section 2.2.5.

E. Sacerdoti, NOAH. In IJCAI, 1975, reprinted in the Handbook of AI, vol.
III.  Or E. Sacerdoti, A Structure for Plans and Behavior, AAAI, 1977.
Summarized in the Handbook of AI, vol. III, pp. 541-550.

E. Sacerdoti, ABSTRIPS, AI vol. 5, pp.115-135, 1974.  Summarized in the
Handbook of AI, vol. I, pp. 135-139, and vol. III, pp. 523-530.

Samuels, "Some studies in machine learning using the game of checkers", IBM
Journal of R&D, 1959.  Reprinted in Computers and Thought, Feigenbaum &
Feldman (eds.), 1963.  Also reprinted in Readings in Machine Learning,
Shavlik & Dietterich (eds.), section 4.3.3.

R.C. Schank, Conceptual Dependency: A Theory Of Natural Language
Understanding, Cognitive Psychology 3, 4, pp. 553-631, October 1972 (or the
equivalent chapter in Schank & Colby (eds.), Computer Models of Thought and
Language, pp. 152-186.).

R.C. Schank & R. Abelson, Scripts, Plans, Goals and Understanding, chapters
1-3, 1977 (or the equivalent chapter in Readings in Cognitive Science,
section 2.6.).

R.C. Schank, G. Collins & L. Hunter, Transcending Inductive Category
Formation in Learning, Behavioral & Brain Sciences, 1986.

J.R. Searle, Minds, Brains, and Programs," Behavioural and Brain Sciences,
vol. 2, pp. 417-424, 1980.  Reprinted in Mind Design: Philosophy, Psychology,
Artificial Intelligence, J. Haugeland (ed.), MIT Press, 1981.  Also reprinted
in Readings in Cognitive Science, Collins & Smith (eds.), section 1.2.

H.A. Simon, Sciences of the Artificial, Chapters 1 and 4, 1969.  (Chapters 1
and 7, second edition.)

M. Stefik, Planning and meta-planning, AI journal. Reprinted in Nilsson &
Webber (ed.), Readings in Artificial Intelligence, section 3.5.

Sussman, A Computer Model of Skill Acquisition, 1975.  Also in the Handbook
of AI, vol. III, pp. 475-483,53-535.

A.M. Turing, "Computing Machinery And Intelligence," Mind, vol. LIX, no. 236,
1950.  Reprinted in Computers and Thought, Feigenbaum & Feldman (eds.), 1963.
Also reprinted in The Mind's I, Hofstadter & Dennett (eds.).  Also reprinted
in Readings in Cognitive Science, Collins & Smith (eds.), section 1.1.

D.L. Waltz, Understanding line drawings of scenes with shadows.  In P.
Winston (Ed.), The Psychology of Computer Vision.  New York: McGraw-Hill,
1975.

Y. Wilks, A Preferential, Pattern-Seeking, Semantics For Natural Language
Inference, Artificial Intelligence, 6, Pp. 53-74, 1975.

R. Wilensky, Meta-Planning: Representing and Using Knowledge About Planning
in Problem Solving and Natural Language Understanding, Cognitive Science 5,
197-233, 1981.  Reprinted in Readings in Cognitive Science, Collins & Smith
(eds.), section 5.6.

T. Winograd, A Procedural Model of Language Understanding.  In Schank & Colby
(eds.), Computer Models of Thought and Language, pp. 152-186.  San Francisco:
W.H. Freeman, 1973.

P.H. Winston, Learning Structural Descriptions from Examples, in The
Psychology of Computer Vision, P.H. Winston (ed.), 1975.

W.A. Woods, What's in a link: Foundations for semantic networks.  In D.G.
Bobrow & A. Collins (Eds.), Representation and Understanding.  New York:
Academic Press, 1975.  Reprinted in Readings in Cognitive Science, Collins &
Smith (eds.), section 2.2.

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