Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method

  • Rafal Rzepka
  • Kenji Araki
  • Koji Tochinai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2843)


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.


Abstract Knowledge Emotional Information Inductive Learn Japanese Language Good Feeling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Rafal Rzepka
    • 1
  • Kenji Araki
    • 1
  • Koji Tochinai
    • 2
  1. 1.Hokkaido UniversitySapporoJapan
  2. 2.Hokkai-Gakuen UniversitySapporoJapan

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