Abstract
It is important for an operator support system to generate an understandable explanation of its complex reasoning process in order to mutually interact with human operators. As a technique to explain the causality inference results based on detailed Multi-level Flow Modelling (MFM) models, a technique to generate essential explanation is studied by applying the technique called function flow simplification to simplify a detailed MFM model by a macroscopic view. Through several explanation generation results for effect estimation of counter actions, the technique is confirmed to generate almost suitable explanation sentences although several differences are found compared with the explanation given by plant experts.
| Original language | English |
|---|---|
| Pages | 538-541 |
| Number of pages | 4 |
| Publication status | Published - Dec 1 2005 |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: Aug 8 2005 → Aug 10 2005 |
Other
| Other | SICE Annual Conference 2005 |
|---|---|
| Country/Territory | Japan |
| City | Okayama |
| Period | 8/8/05 → 8/10/05 |
Keywords
- Causality explanation
- Function flow simplification
- Multi-level flow modelling
- Operator support system
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering