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Journal of Automation and Information Sciences

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Convergence and Estimation of the Process of Computer Implementation of the Optimality Principle in Matrix Games with Apparent Play Horizon

Volumen 45, Edición 10, 2013, pp. 49-56
DOI: 10.1615/JAutomatInfScien.v45.i10.70
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SINOPSIS

A procedure of practical implementation of the optimality principle in matrix games with empty set of saddle points in pure strategies, where finite number of plays is in advance known, is under consideration. Convergence of this procedure is proved, and estimate of average win or loss of player, participating in it, is shown.

CITADO POR
  1. Romanuke Vadim, Optimal Training Parameters and Hidden Layer Neuron Number of Two-Layer Perceptron for Generalised Scaled Object Classification Problem, Information Technology and Management Science, 18, 1, 2015. Crossref

  2. Varnalii Zakharii, Voynarenko Mykhaylo, Yemchuk Liudmyla, Dzhulii Larysa, Skorobohata Larysa, Bushovska Lesia, Economic and Mathematical Modeling in Informational Support of Innovational Processes Management Functions, 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), 2020. Crossref

  3. Romanuke Vadim, Equilibrium stacks for a three-person game on a product of staircase-function continuous and finite strategy spaces, Foundations of Computing and Decision Sciences, 47, 1, 2022. Crossref

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