A technique to generate essential qualitative explanations of derived causal relations based on a functional model

Zheng Yaoyang, Akio Gofuku

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This study investigates a technique to generate essential explanation for the reasoning process derived by the qualitative reasoning based on a functional model, in order to realize a mutual cooperation between a team of operators and an operator support system in an anomalous plant situation. This study applies a technique called function flow simplification to simplify a microscopic functional model into a macroscopic one. Then, this paper proposes a technique composed of the function flow simplification, simplification of functional model considering the purpose of a component and mapping the simplified functional model by the function flow simplification to a corresponding structure model to generate essential qualitative explanations. The applicability of the proposed technique is demonstrated by the explanation generation for effect propagations of counter actions for an anomaly in an oil refinery plant.

Original languageEnglish
Pages (from-to)356-369
Number of pages14
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume20
Issue number6
DOIs
Publication statusPublished - Jan 1 2005

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Keywords

  • Causal relation
  • Essential explanation
  • Function flow simplification
  • Multi-level flow modelling

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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