Hostname: page-component-89b8bd64d-4ws75 Total loading time: 0 Render date: 2026-05-09T20:17:41.431Z Has data issue: false hasContentIssue false
  • English
  • Français

Simulation of Human Problem-Solving Behavior

Published online by Cambridge University Press:  01 January 2025

K. R. Laughery  and
L. W. Gregg
K. R. Laughery
Affiliation:
International Business Machines
L. W. Gregg
Affiliation:
Carnegie Institute of Technology
Get access Rights & Permissions [Opens in a new window]

Abstract

In the simulation of human behavior on a digital computer, one first attempts to discover the manner in which subjects (Ss) internally represent the environment and the rules that they employ for acting upon this representation. The interaction between the rules and the environmental representation over a period of time constitutes a set of processes. Processes can be expressed as flow charts which, in turn, are stated formally in terms of a computer program. The program serves as a theory which is tested by executing the program on a computer and comparing the machine's performance with S's behavior.

Information

Type
Original Paper
Information
Psychometrika , Volume 27 , Issue 3 , September 1962 , pp. 265 - 282
Copyright
Copyright © 1962 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Bush, R. R. and Estes, W. K. Studies in mathematical learning theory, Stanford: Stanford Univ. Press, 1959.Google Scholar
Feldman, J. Stimulation of behavior in the binary choice experiment. Proceedings of the Western Joint Computer Conference, IRE, May, 1961.CrossRefGoogle Scholar
Gregg, L. W. Transfer effect of search and fixation in a problem-solving task. Paper presented at the Psychonomic Society Meeting, Chicago, September, 1960.CrossRefGoogle Scholar
Gulliksen, H. Theory of mental tests, New York: Wiley, 1950.CrossRefGoogle Scholar
Hunt, E. B. and Hovland, C. I. Programming in a model of human concept formulation. Proceedings of the Western Joint Computer Conference, IRE, May, 1961.Google Scholar
Hull, C. L. Principles of behavior, New York: Appleton-Century-Crofts, 1943.Google Scholar
Newell, A., Shaw, J. C., and Simon, H. A. Elements of a theory of human problem solving. Psychol. Rev., 1958, 65, 151–166.CrossRefGoogle Scholar
Newell, A., Shaw, J. C., and Simon, H. A. Chess-playing programs and the problem of complexity. IBM J. Res. and Dev., 1958, 2, 320–335.CrossRefGoogle Scholar
Newell, A., Tonge, F. M., Feigenbaum, E. A., Mealy, G. H., Saber, N., Green, B. F., and Wolf, A. K. Information processing language V manual (Section I, The elements of IPL programming). RAND Paper, P-1897, May, 1960.Google Scholar
Newell, A., Tonge, F. M., Feigenbaum, E. A., Mealy, G. H., Saber, N., Green, B. F., and Wolf, A. K. Information processing language V manual (Section II, Programmers' reference manual). RAND Paper, P-1918, March, 1960.Google Scholar
Thurstone, L. L. A law of comparative judgment. Psychol. Rev., 1927, 34, 273–286.CrossRefGoogle Scholar