Explanation based on contexts

Pertti Huuskonen; Anneli Korteniemi

doi:10.1109/CAIA.1992.200027

Explanation based on contexts

Pertti Huuskonen, Anneli Korteniemi

VTT Technical Research Centre of Finland

Imatran Voima Oy

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

The authors present a hypertext-based explanation mechanism built on an existing diagnostic expert system. The system is a decision support tool for experts analyzing the condition of rotating machinery. Explanation for the system is based on context. It guides interaction and search for suitable explanations. Questions and answers are modeled separately, allowing heuristic answering. System knowledge is modeled as explicable objects to make explanations more modular. Using context to maintain a dialogue is discussed with an implementational view, and explanation techniques of an actual real-world system are presented.

Original language	English
Title of host publication	Proceedings Eighth Conference on Artificial Intelligence for Applications
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	179-185
ISBN (Print)	0-8186-2690-9
DOIs	https://doi.org/10.1109/CAIA.1992.200027
Publication status	Published - 1992
MoE publication type	A4 Article in a conference publication
Event	8th Conference on Artificial Intelligence for Applications - Monterey, United States Duration: 2 Mar 1992 → 6 Mar 1992

Conference

Conference	8th Conference on Artificial Intelligence for Applications
Country/Territory	United States
City	Monterey
Period	2/03/92 → 6/03/92

Access to Document

10.1109/CAIA.1992.200027

Cite this

@inproceedings{5cfd7ade970e477cbe8400e9c385a5f1,

title = "Explanation based on contexts",

abstract = "The authors present a hypertext-based explanation mechanism built on an existing diagnostic expert system. The system is a decision support tool for experts analyzing the condition of rotating machinery. Explanation for the system is based on context. It guides interaction and search for suitable explanations. Questions and answers are modeled separately, allowing heuristic answering. System knowledge is modeled as explicable objects to make explanations more modular. Using context to maintain a dialogue is discussed with an implementational view, and explanation techniques of an actual real-world system are presented.",

author = "Pertti Huuskonen and Anneli Korteniemi",

year = "1992",

doi = "10.1109/CAIA.1992.200027",

language = "English",

isbn = "0-8186-2690-9",

pages = "179--185",

booktitle = "Proceedings Eighth Conference on Artificial Intelligence for Applications",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "8th Conference on Artificial Intelligence for Applications ; Conference date: 02-03-1992 Through 06-03-1992",

}

TY - GEN

T1 - Explanation based on contexts

AU - Huuskonen, Pertti

AU - Korteniemi, Anneli

PY - 1992

Y1 - 1992

N2 - The authors present a hypertext-based explanation mechanism built on an existing diagnostic expert system. The system is a decision support tool for experts analyzing the condition of rotating machinery. Explanation for the system is based on context. It guides interaction and search for suitable explanations. Questions and answers are modeled separately, allowing heuristic answering. System knowledge is modeled as explicable objects to make explanations more modular. Using context to maintain a dialogue is discussed with an implementational view, and explanation techniques of an actual real-world system are presented.

AB - The authors present a hypertext-based explanation mechanism built on an existing diagnostic expert system. The system is a decision support tool for experts analyzing the condition of rotating machinery. Explanation for the system is based on context. It guides interaction and search for suitable explanations. Questions and answers are modeled separately, allowing heuristic answering. System knowledge is modeled as explicable objects to make explanations more modular. Using context to maintain a dialogue is discussed with an implementational view, and explanation techniques of an actual real-world system are presented.

U2 - 10.1109/CAIA.1992.200027

DO - 10.1109/CAIA.1992.200027

M3 - Conference article in proceedings

SN - 0-8186-2690-9

SP - 179

EP - 185

BT - Proceedings Eighth Conference on Artificial Intelligence for Applications

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 8th Conference on Artificial Intelligence for Applications

Y2 - 2 March 1992 through 6 March 1992

ER -

Explanation based on contexts

Abstract

Conference

Access to Document

Fingerprint

Cite this