Proceedings of the Fuzzy System Symposium
36th Fuzzy System Symposium
Session ID : TC2-2
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Criminal Detection of Mystery Novel by Reinforcement Learning
*Shuhei Katsushima, Hajime Anada
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Abstract

In recent years, there is an interpretability problem that even experts cannot explain the reasoning process of machine learning. A contest featuring interpretability, “First Knowledge Graph Reasoning Challenge 2018.” was held in Tokyo. A previous study presented a method an expert system employs to evaluate the reasoning process. However, using natural language processing on original documents in the process is time-consuming and the output is different compared with the original documents. In this study, we explain the reasoning process by tracing the pass of knowledge graph with a policy gradient of reinforcement learning.

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© 2020 Japan Society for Fuzzy Theory and Intelligent Informatics
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