Abstract
The Bacterium Lingualis is a knowledge discovery method for commonsensical reasoning based on textual WWW resources. During developing a talking agent without a domain limit, we understood that our system needs an unsupervised reinforcement learning algorithm, which could speed up the language and commonsensical knowledge discovery. In this paper we introduce our idea and the results of preliminary experiments.
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Rzepka, R., Araki, K., Tochinai, K. (2003). Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method. In: Grieser, G., Tanaka, Y., Yamamoto, A. (eds) Discovery Science. DS 2003. Lecture Notes in Computer Science(), vol 2843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39644-4_46
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DOI: https://doi.org/10.1007/978-3-540-39644-4_46
Publisher Name: Springer, Berlin, Heidelberg
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