Stochastic Behavioral Models. Classification

Stochastic Behavioral Models. Classification

Stochastic behavioral models are specified by a difference evolutionary equation for the probabilities of binary alternatives. The classification of stochastic behavioral models is analyzed by the limit behavior of alternatives probabilities. The main property of classification is characterized by t...

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Veröffentlicht in:Cybernetics and systems analysis 2016-11, Vol.52 (6), p.884-895
Hauptverfasser: Koroliouk, D. V., Bertotti, M. L., Koroliuk, V. S.
Format: Artikel
Sprache:eng
Schlagworte:
Analysis
Artificial Intelligence
Control
Markov processes
Mathematics
Mathematics and Statistics
Processor Architectures
Software Engineering/Programming and Operating Systems
Systems Theory
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Zusammenfassung:Stochastic behavioral models are specified by a difference evolutionary equation for the probabilities of binary alternatives. The classification of stochastic behavioral models is analyzed by the limit behavior of alternatives probabilities. The main property of classification is characterized by three types of equilibrium: attractive, repulsive, and dominant. The stochastic behavioral models are classified by using the stochastic approximation.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-016-9890-6