Formal requirements of Markov state models for paired associate learning

DOI10.1006/jmps.2000.1318zbMath1001.91097OpenAlexW2066929128WikidataQ52065858 ScholiaQ52065858MaRDI QIDQ1599157

Konstantinos V. Katsikopoulos, Donald L. Fisher

Publication date: 2 July 2002

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmps.2000.1318

zbMATH Keywords

Markov modelminimum complexitylag effects

Mathematics Subject Classification ID

Memory and learning in psychology (91E40)

Cites Work

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• Optimal static and dynamic training schedules: State models of skill acquisition
• Optimal stimulus presentation strategy for a stimulus sampling model of learning
• A comparison of paired-associate learning models having different acquisition and retention axioms
• Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters
• Reinforcement-test intervals in paired-associate learning
• Application of a model to paired-associate learning
• Finite Continuous Time Markov Chains

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