Literature DB >> 9520317

The effects of operator implementation cost on planfulness of problem solving and learning.

K P O'Hara1, S J Payne.   

Abstract

This paper explores the idea that problem solving search strategies are chosen so as to optimize performance within the constraints of a particular situation. Four experiments are reported that examine the hypothesis that the cost of performing an operation affects "planfulness"--the level of planning during problem solving. The first experiment investigated problem solving with the 8-puzzle and compared strategies adopted when there was a high versus a low cost of making a move, manipulating cost in terms of command length. The second experiment used protocol analysis to provide more direct evidence for increased planning. The third and fourth experiments looked at the effects of these different strategies on learning: the third examined how problem solving performance on a direct manipulation interface is affected by prior problem solving experience in the same domain with either a high cost or low cost command-driven interface, demonstrating improved performance as a result of training on an interface with high cost operations; the fourth experiment, like the third, examined the effects of prior problem solving experience with either a high cost or low cost interface on subsequent problem solving performance in a different domain using a direct manipulation interface showing no effect to training interface on subsequent performance.

Mesh:

Year:  1998        PMID: 9520317     DOI: 10.1006/cogp.1997.0676

Source DB:  PubMed          Journal:  Cogn Psychol        ISSN: 0010-0285            Impact factor:   3.468


  9 in total

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Authors:  David Papo
Journal:  Cogn Neurodyn       Date:  2021-11-20       Impact factor: 3.473

7.  The strategic nature of changing your mind.

Authors:  Matthew M Walsh; John R Anderson
Journal:  Cogn Psychol       Date:  2008-11-14       Impact factor: 3.468

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9.  Supporting Cognition With Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future.

Authors:  Sandra Grinschgl; Aljoscha C Neubauer
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  9 in total

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