Patricia Albacete's ISP Comps Reading List

Reading List for the Ph.D. Comprehensive Examination
Patricia L. Albacete
Intelligent Systems Program
University of Pittsburgh
patty@cs.pitt.edu

January, 1994.



1. Cognitive Modeling 


1.1 Architecture

Newell, Allen. Unified theories of cognition. Harvard University Press,
(1990).

Anderson, John. The Architecture of Cognition. Harvard University Press,
(1983). 


1.2 Problem Solving

Newell, A. and Simon, H.A. Human Problem Solving. Englewood Cliffs, N. J.,
Prentice-Hall (1972).


1.3 Learning

VanLehn, Kurt. Problem Solving and Cognitive Skill Acquisition. In 
M.I. Posner (Ed.) Foundations of Cognitive Science (1989).

VanLehn, Kurt. Learning One Subprocedure per Lesson. Artificial Intelligence
31 (1987) 1-40.

VanLehn, K., Jones, R.M., Chi M.T. A Model of the Self-Explanation Effect.
The Journal of the Learning Sciences, 2(1), 1-59.




2. AI and Education

Polson, M. and Richardson (Eds.). Foundations of Intelligent Tutoring Systems.
Lawrence Erlbaum Associates Publishers. (1988)

Burton, R.R. and Brown, J.S. An Investigation of Computer Coaching for
informal Learning Activities. In Sleeman, D. and Brown, J.S. (Eds.). 
Intelligent Tutoring Systems, 79-98. Academic Press (1982).
 
Collins, A. and Stevens, A.L. Goals and Strategies of Inquiry Teachers. In
R. Glaser (Ed.) Advances in Instructional Psychology vol.2. Hillsdale, 
NJ: Erlbaum Assoc. (1982).

Anderson, J.R., Corbett, A.T., Koedinger, K.R., and Pelletier, R. Cognitive
Tutors: Lessons Learned. The Journal of the Learning Sciences (1995) (in
press).

Merrill, D.C., Reiser, B.J., Ranney M., and Trafton, J.G. Effective
Tutoring Techniques: A comparison of Human Tutors and Intelligent Tutoring
systems. Journal of the Learning Sciences, 2 (1992) 277-306.

Carbonell, J.R. AI in CAI: An Artificial Intelligence Approach
to Computer-Assisted Instruction. IEEE Transactions on Man-Machine 
Systems 11(4) (1970) 190-202.




3.Reasoning Under Uncertainty.


3.1 Human Judgement Under Uncertainty

Tversky, A. and Kahneman, D. Judgment Under Uncertainty: Heuristics and Biases.
Science Vol.185 No.4157 (1974) 1124-1131.


3.2 Foundations of Decision Theory

North, D. W. A Tutorial Introduction to Decision Theory. IEEE Transactions on 
Systems Science and Cybernetics Vol.SSC--4, No.3 (1968).

Keeney, R.L. Decision analysis: An overview, Operations Research 30
(1982) 803-838.


3.3 Probabilistic Approaches in AI
 
Davis, R. and Buchanan, B. Production Rules as a Representation for
Knowledge Based Consultation Program. Artificial Intelligence 8 (1977)
15-45.

Heckerman, David E. Probabilistic Interpretation of for MYCIN's Certainty 
Factors. In L.N. Kanal and J.F. Lemmer (Eds.) Uncertainty in Artificial 
Intelligence. Elsevier Science Publishers B.V. (North Holland) (1986) 
167-196.

Heckerman, D.E. and Shortliffe, E.H. From certainty factors to Belief Networks.
Artificial Intelligence 4 (1992) 35-52.

Henrion, M., Breese, J.S., and Horvitz, E.J. Decision Analysis and Expert 
Systems. AI Magazine, 12(4) (1991) 64-91.


3.4 Belief Networks

Charniak, Eugene. Bayesian Networks Without Tears. AI Magazine, 12(4)
(1991) 50-63.

Henrion, Max. Some Practical Issues in Constructing Belief Networks.
In L.N. Kanal, T.S. Levitt, and J.F. Lemmer (Eds.) Uncertainty in Artificial 
Intelligence~ 3 (1989) 161-173. Elsevier Science Publishers B.V. 
(North Holland)

Druzdzel, M.J. and Suermondt, H.J. Relevance in Probabilistic Models:
`Backyards' in a `Small World'. Working notes of the AAAI--1994 Fall Symposium
Series: Relevance, New Orleans, LA (1994) 60-63.

Druzdzel, M.J. and Simon, H.A. Causality in Bayesian Belief Networks.  
Proceedings of the Ninth Annual Conference on Uncertainty in Artificial 
Intelligence (UAI-93) Washington, D.C (1993) 3-11.

Poole, D. and Provan, G.M. What is the Most Likely Diagnosis?. In
P.P. Bonissone, M. Henrion, L.N. Kanal, L.N., J.F. Lemmer (Eds.)
Uncertainty in Artificial Intelligence~6 (1991) 89-105. Elsevier Science 
Publishers B.V. (North Holland).

Cooper, Gregory F. Current Research Directions in the Development of Expert 
Systems Based on Belief Networks. Applied Stochastic Models and Data Analysis
5(1) (1989) 39-52.

Spiegelhalter, David J. A Statistical View of Uncertainty in Expert Systems.
In W. gale (Ed.) Artificial Intelligence and Statistics (1986) 17-56. 
Addison-Wesley Reading, MA.

Cheeseman, Peter. An Inquiry into Computer Understanding (with commentary). 
Computational Intelligence 4(1) (1988) 58-142.



4. Experimental Design

(knowledge of Statistics is assumed)

Kerlinger, Fred N. Foundations of Behavioral Research, 3rd edition (1986).
New York: Holt, Rinehart and Winston.

Rosenthal, R. and Rosnow, R.L. Essentials of Behavioral Research: Methods 
and Data Analysis (1991). New York: McGraw-Hill Book Co.

Massaro, D.W. Experimental Psychology: An information Processing Approach,
180-253. Harcourt Brace Jovanovich, Publishers.