DocumentCode :
1157820
Title :
Knowledge acquisition and fault diagnosis: experiments with PLAULT
Author :
Sanderson, Penelope M.
Author_Institution :
Dept. of Mech. & Ind. Eng., Illinois Univ., Urbana, IL, USA
Volume :
20
Issue :
1
fYear :
1990
Firstpage :
225
Lastpage :
242
Abstract :
A series of experiments using a paradigm called PLAULT, where subjects have to discover the structure of a logical network, is reported. The links in the network are invisible, and subjects have to infer where they are by examining the status of the logic gates under a variety of conditions. Three experiments explore the interaction of features of the task, such as its spatial and graphical complexity, with the cognitive limitations of the learner. A combination of these features predicts which parts of a network subjects can and cannot learn, when knowledge is tested by requiring subjects to draw diagrams of the supposed network structure. These task features also predict efficiency of transfer to a fault diagnosis task. The experiments demonstrate the predictive power that can be gained by identifying task features that are likely to prevent thorough learning of a system. These results are also important for understanding the dissociation of the ability to perform routine tasks and the ability to respond to abnormal events
Keywords :
knowledge acquisition; logic testing; psychology; PLAULT; fault diagnosis; knowledge acquisition; learning; logic testing; logical network; psychology; Circuit faults; Circuit testing; Cognitive science; Electronic equipment testing; Failure analysis; Fault diagnosis; Human factors; Knowledge acquisition; Logic gates; Psychology;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.47823
Filename :
47823
Link To Document :
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