Herbert A. Simon's Computer Science Work

Tabachneck-Schijf, H.J.M., Leonardo, A.M., & Simon, H.A. (1997). CaMeRa: A computational model of multiple representations.
Cognitive Science, 21(2), 305-350. [Note: The current version of CaMeRa runs on a Macintosh using either Macintosh Common
Lisp or Allegro Common Lisp.]

Simon, H.A. (1997). The Sciences of the Artificial (3rd ed.). Cambridge, MA: The MIT Press, 1997

Simon, H.A. (1996). The patterned matter that is mind. In D.M. Steier & T.M. Mitchell (Eds.), Mind matters: A tribute to Allen
Newell (Chapter 11). Mahwah, NJ: Erlbaum.

Kim, J., Lerch, J., & Simon, H.A. (1995). Internal representation and rule development in object-oriented design. ACM Transactions
on Computer-Human Interaction, 2(4), 357-390.

Langley, P., & Simon, H.A. (1995). Applications of machine learning and rule induction. Communications of the Association for
Computing Machinery, 38(11), 54-64.

Simon, H.A. (1995). Artificial intelligence: an empirical science. Artificial Intelligence, 77(1), 95-127.

Simon, H.A. (1995). Explaining the ineffable: AI on the topics of intuition, insight and inspiration. Proceedings of the Fourteenth
International Joint Conference on Artificial Intelligence, Vol. 1, 939-948.

Simon, H.A. (1995). Machine as mind. In K.M. Ford, C. Glymour, & P.J. Hayes (Eds.), Android epistemology (pp. 23-40). Menlo
Park, CA: AAAI/The MIT Press.

Simon, H.A. (1995). Problem forming, problem finding, and problem solving in design. In A. Collen & W.W. Gasparski (Eds.),
Design and systems: General applications of methodology (Vol. 3, pp. 245-257). New Brunswick, NJ: Transaction Publishers.

Qin, Y., & Simon, H.A. (1995). Imagery and mental models in problem solving. In J. Glasgow, N.H. Narayanan, & B.
Chandrasekaran (Eds.), Diagrammatic reasoning: Computational and cognitive perspectives (pp. 403-434). Menlo Park, CA:
AAAI/The MIT Press.

Iwasaki, Y., & Simon, H.A. (1994). Causality and model abstraction. Artificial Intelligence, 67, 143-194.

Druzdzel, M.J., & Simon, H.A. (1993). Causality in Bayesian belief networks. Proceedings of the 9th Annual Conference on
Uncertainty in Artificial Intelligence (pp. 3-11). Washington, DC.

Valdes-Perez, R.E., Zytkow, J.M., & Simon, H.A. (1993). Scientific model-building as search in matrix spaces. Proceedings of the
11th National Conference on Artificial Intelligence (pp. 472-478). Menlo Park, CA: AAAI Press.

Kalagnanam, J.A., & Simon, H.A. (1992). Directions for qualitative reasoning. Computational Intelligence, 8(2), 308-315.

Valdes-Perez, R., Simon, H.A., & Murphy, R. (1992). Discovery of pathways in science. In J.M. Zytkow (Ed.), Proceedings of the
ML92 Workshop on Machine Discovery, 51-57.

Qin, Y., Mitchell, T.M., & Simon, H.A. (1992). Using EBG to simulate human learning from examples and learning by doing.
Proceedings of the Fifth Florida Artificial Intelligence Research Symposium, 235-239.

Kalagnanam, J., Simon, H.A., & Iwasaki, Y. (1991). The mathematical bases for qualitative reasoning. IEEE Expert, 6, 11-19.

Bhandari, I.S., Siewiorek, D.P., & Simon, H.A. (1990). Optimal probe selection in diagnostic search. IEEE Transactions on Systems,
Man, and Cybernetics, 20, 990-999.

Shen, W., & Simon, H.A. (1989). Rule creation and rule learning through environmental exploration. Proceedings of the 11th
International Joint Conference on Artificial Intelligence, pp. 675-680.

Kulkarni, D., & Simon, H.A. (1988). The processes of scientific discovery: The strategy of experimentation. Cognitive Science, 12,
139-175.

Langley, P., Simon, H.A., Bradshaw, G.L., Zytkow, J.M. (1987). Scientific Discovery: Computational Explorations of the Creative
Prcesses. Cambridge, MA: The MIT Press.

Simon, H.A., & Newell, A. (1986). Information processing language V on the IBM 650. Annals of the History of Computing, 8,
47-49.

Simon, H.A. (1983). Search and reasoning in problem solving. Artificial Intelligence, 21, 7-29.

Langley, P., Bradshaw, G.L., & Simon, H.A. (1983). Rediscovering chemistry with the BACON system. In R.S. Michalski, J.G.
Carbonell & T.M. Mitchell (Eds.), Machine learning, an artificial intelligence approach (Chap. 10). Palo Alto, CA: Tioga Publishing
Co.

Simon, H.A. (1981). Prometheus or Pandora: The influence of automation on society. Computer, 14, 69-74.

Simon, H.A. (1977). Artificial intelligence systems that understand. Proceedings of the Fifth International Joint Conference on
Artificial Intelligence, 2, 1059-1073.

Simon, H.A., & Kadane, J. (1977). Optimal problem-solving search: All-or-none solutions. Artificial Intelligence, 6(3), 235-247.

Simon, H.A. (1976). The design of large computing systems as an organizational problem. In P. Verburg, C.A. Malotaux, K.T.A.
Halbertsma, & J.L. Boers (Eds.), Organisatiewetenschap en praktijk (pp. 163-180). Leiden: H.E. Stenfert Kroese B.V.

Newell, A., & Simon, H.A. (1976). Computer science as empirical inquiry: Symbols and search. Communications of the Association
for Computing Machinery, 19(3), 113-126. (1975 ACM Turing Award Lecture.)

Simon, H.A. (1973). The structure of ill-structured problems. Artificial Intelligence, 4, 181-202.

Simon, H.A., & Siklossy, L. (Eds.) (1972). Representation and Meaning: Experiments with Information Processing Systems.
Englewood Cliffs, NJ: Prentice-Hall.

Newell, A., & Simon, H.A. (1972). Human Problem Solving. Englewood Cliffs, NJ: Prentice-Hall.

Baylor, G.W., & Simon, H.A. (1966). A chess mating combinations program. Proceedings of the 1966 Spring Joint Computer
Conference, 28, 431-447.

Simon, H.A. (1963). Experiments with a heuristic compiler. Journal of the Association for Computing Machinery, 10, 493-506.

Newell, A., & Simon, H.A. (1961). GPS: A program that simulates human thought. In H. Billings (Ed.), Lernende automaten (pp.
109-124). Munchen: R. Oldenbourg.

Newell, A., Shaw, J.C., & Simon, H.A. (1958). Chess-playing programs and the problem of complexity. IBM Journal of Research
and Development, 2, 320-335.

Newell, A., & Simon, H.A. (1956). The logic theory machine. IRE Transactions on Information Theory, IT-2(3), 61-79.