Structured matching: a task-specific technique for making decisions

Author

Bylander, Tom ; Johnson, Todd R. ; Goel, Ashok

Author_Institution

Lab. for Artificial Intelligence Res., Ohio State Univ., Columbus, OH, USA

fYear

1989

fDate

23-25 Oct 1989

Firstpage

138

Lastpage

145

Abstract

The authors describe structured matching informally and give a formal definition of the task and strategy of structured matching. Structured matching integrates the knowledge and control for making a decision within a hierarchical structure. Structured matching has several desirable characteristics: it is qualitative and tractable, it facilitates knowledge acquisition and explanation, and it explicitly represents decision-making knowledge. The authors describe how structured matching is implemented in the HYPER tool, showing how HYPER corresponds to the formal definition. HYPER is a tool for building problem-solving modules that measure the fit of a hypothesis to a situation. Structured matching is a generalization of hypothesis matching. The authors present examples of structured matching in several knowledge-based systems

Keywords

explanation; knowledge acquisition; knowledge based systems; knowledge representation; problem solving; search problems; HYPER tool; decision-making knowledge; explanation; explicit representation; hierarchical structure; knowledge acquisition; knowledge-based systems; problem-solving modules; structured matching; task-specific technique; Artificial intelligence; Computer science; Decision making; Information science; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Laboratories; Liver diseases; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools for Artificial Intelligence, 1989. Architectures, Languages and Algorithms, IEEE International Workshop on

Conference_Location

Fairfax, VA

Print_ISBN

0-8186-1984-8

Type

conf

DOI

10.1109/TAI.1989.65313

Filename

65313