ABSTRACT
Humans are considered as general purpose computers. They ask two questions of the environment, "What is most likely to be the situation next?", and, "What do I do now?" A research program is described which seeks to determine how, and how well, humans can answer the former question or predict the environment.
- Chapman, Robert L., Kennedy, John L., Newell, Allen, and Biel, William C. The Systems Research Laboratory's Air Defense Experiments, Management Sci., 1959, 5(3), 250--269.Google ScholarDigital Library
- Edwards, W. Probability Learning in 1000 Trials, J. Exp. Psychol., 1961, 62, 381--390.Google ScholarCross Ref
- Edwards, Ward. Dynamic Decision Theory and Probabilistic Information Processing, Human Factors, 1962, 4(2), in press.Google Scholar
- Neimark, Edith. Information-Gathering in Diagnostic Problem Solving: A Preliminary Report, Psychol. Record, 1961, 11, 243--248.Google ScholarCross Ref
- Shannon, C. E. Prediction and Entropy of Printed English, Bell Syst. Tech. J., 1951, 30, 50--64.Google ScholarCross Ref
- Shaw, C. J. A Programmer's Look at JOVIAL in an ALGOL Perspective, Datamation., 1961, 7(10), 46--50.Google Scholar
Recommendations
Neither rocket science nor washing machine science, but computer science
ITiCSE '08: Proceedings of the 13th annual conference on Innovation and technology in computer science educationGreyer haired computer scientists can easily remember the glory days, but waves of recent publications and opinion seem to have seen clouds on our horizon.
But maybe we worry too much and too soon. Every fairytale heroine goes through a glum patch ...
Using Human Interactive Proofs to Secure Human-Machine Interactions via Untrusted Intermediaries
Security ProtocolsIt's ironic that these hard problems, such as character recognition, have been known to be hard for a long, long time, and yet almost as soon as people make crypto things out of them, they get solved. Actually it's not quite the way you think because ...
Neither rocket science nor washing machine science, but computer science
ITiCSE '08Greyer haired computer scientists can easily remember the glory days, but waves of recent publications and opinion seem to have seen clouds on our horizon.
But maybe we worry too much and too soon. Every fairytale heroine goes through a glum patch ...
Comments