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American Journal of Applied Mathematics and Statistics. 2016, 4(6), 173-177
DOI: 10.12691/AJAMS-4-6-2
Original Research

An Absorbing Markov Chain Model for Problem-Solving

Michael Gr. Voskoglou1,

1Department of Mathematical Sciences, School of Technological Applications, Graduate Technological Educational Institute (T. E. I.) of Western Greece, Patras, Greece

Pub. Date: December 23, 2016

Cite this paper

Michael Gr. Voskoglou. An Absorbing Markov Chain Model for Problem-Solving. American Journal of Applied Mathematics and Statistics. 2016; 4(6):173-177. doi: 10.12691/AJAMS-4-6-2

Abstract

In the present paper an absorbing Markov Chain model is developed for the description of the problem-solving process and through it a measure is obtained for problem-solving skills. Examples are also presented illustrating the model’s applicability in practice.

Keywords

Problem-Solving (PS), Multidimensional PS Framework (MPSF), Finite Markov Chain (FMC), Absorbing Markov Chain (AMC), Transition Matrix, Fundamental Matrix

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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