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Presolution Performance Functions for Markov Models

Published online by Cambridge University Press:  01 January 2025

Peter G. Polson
Peter G. Polson*
Affiliation:
University of Colorado
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Abstract

Performance measures, conditionalized on the last error and other events, have been of central concern in the development of absorbing Markov-chain models for learning and problem solving. Expressions for response probabilities and expected latencies conditional on the occurrence of the last error and other events are derived using matrix methods.

Type
Original Paper
Information
Psychometrika , Volume 37 , Issue 4 , December 1972 , pp. 453 - 459
Copyright
Copyright © 1972 The Psychometric Society

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