OPTIMAL PROCEDURE FOR AN N-STATE TESTING AND LEARNING PROCESS. II

OPTIMAL PROCEDURE FOR AN N-STATE TESTING AND LEARNING PROCESS. II

The paper is a continuation of work on optimal strategies for presentation of items in an N-trial learning experiment. In AD-611 056 and AD-610 696 it was shown (under certain assumptions) that the following decision rule generated an optimal sequencing: in any trial present the item for which the p...

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Bibliographische Detailangaben
Hauptverfasser: Karush,W, Dear,R. E
Format: Report
Sprache:eng
Schlagworte:
CONDITIONED RESPONSE
DECISION THEORY
FUNCTIONS(MATHEMATICS)
LEARNING
MATHEMATICAL MODELS
OPTIMIZATION
PROBABILITY
PSYCHOLOGICAL TESTS
Psychology
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Beschreibung
Zusammenfassung:The paper is a continuation of work on optimal strategies for presentation of items in an N-trial learning experiment. In AD-611 056 and AD-610 696 it was shown (under certain assumptions) that the following decision rule generated an optimal sequencing: in any trial present the item for which the probability of being in the learned state is least. In the present paper it is shown that this rule is optimal for a more general learning model than any considered earlier; the new model allows for the possibility that a subject may respond incorrectly to a test on an item, even though he 'knows' the item. (Author)