Mental Model Ascription by Intelligent Agents
  • ISSN 1572-0373
  • E-ISSN: 1572-0381
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We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community norms.


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  • Article Type: Research Article
Keyword(s): belief modeling , discourse analysis , natural language understanding and sociolinguistics

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