DocumentCode
1407617
Title
On the Complexity of Causal Models
Author
Gaines, B. R.
Author_Institution
Man-Machine Systems Laboratory, Department of Electrical Engineering Science, University of Essex, Colchester, England.
Issue
1
fYear
1976
Firstpage
56
Lastpage
59
Abstract
It is argued that a principle of casuality is fundamental to human thinking, and it has been observed experimentally that this assumption leads to complex hypothesis formation by human subjects attempting to solve comparatively simple problems involving acausal randomly generated events. This correspondence provides an automatatheoretic explanation of this phenomenon by analyzing the performance of an optimal modeler observing the behavior of a system and forming a minimal-state model of it.
Keywords
Automata; Humans; Lamps; Machine learning; Performance analysis; Psychology; Shape; Stochastic systems; System identification; Testing;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1976.5408397
Filename
5408397
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