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ABSTRACT Case-Based Reasoning (CBR) is the process of solving new problems based on the solutions of similar past problems. Here a Markov Chain model is constructed for a mathematical description of the CBR process by introducing an absorbing MC on its main steps. A method is also developed with the help of this model for evaluating the effectiveness of CBR systems, accompanied by suitable examples and hints are given for future research on the subject. |
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KEYWORDS Case-Based Reasoning (CBR), Markov Chains (MCs), Absorbing MCs, CBR Systems, Artificial Intelligence (AI) |
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Cite this paper Michael Gr. Voskoglou. (2017) An Absorbing Markov Chain Model for Case – Based Reasoning. International Journal of Computers, 2, 99-105 |
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