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
Publication statusPublished - 2005

Fingerprint

Model structures
Oils

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

@article{0455f52fb17c4f6bb9ae62f10a014ccf,
title = "A technique to generate essential qualitative explanations of derived causal relations based on a functional model",
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.",
keywords = "Causal relation, Essential explanation, Function flow simplification, Multi-level flow modelling",
author = "Zheng Yaoyang and Akio Gofuku",
year = "2005",
language = "English",
volume = "20",
pages = "356--369",
journal = "Transactions of the Japanese Society for Artificial Intelligence",
issn = "1346-0714",
publisher = "Japanese Society for Artificial Intelligence",
number = "6",

}

TY - JOUR

T1 - A technique to generate essential qualitative explanations of derived causal relations based on a functional model

AU - Yaoyang, Zheng

AU - Gofuku, Akio

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Causal relation

KW - Essential explanation

KW - Function flow simplification

KW - Multi-level flow modelling

UR - http://www.scopus.com/inward/record.url?scp=33846604536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846604536&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33846604536

VL - 20

SP - 356

EP - 369

JO - Transactions of the Japanese Society for Artificial Intelligence

JF - Transactions of the Japanese Society for Artificial Intelligence

SN - 1346-0714

IS - 6

ER -