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arXiv · 2404.11096

Review of Automaton Learning Algorithms with Polynomial Complexity -- Completely Solved Examples

Farah Haneef
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Abstract

Automaton learning is a domain in which the target system is inferred by the automaton learning algorithm in the form of an automaton, by synthesizing a finite number of inputs and their corresponding outputs. Automaton learning makes use of a Minimally Adequate Teacher (MAT). The learner learns the target system by posing membership queries to the MAT. In this chapter, I have provided completely solved examples of automaton learning algorithms. According to the best of my knowledge these are not available in any other source.

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Farah Haneef. 2024-04-17. Review of Automaton Learning Algorithms with Polynomial Complexity -- Completely Solved Examples. https://arxiv.org/abs/2404.11096

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