Peirce: a tool for abductive inference

Author

Fox, Richard ; Josephson, John

Author_Institution

Dept. of Math. & Comput. Sci., Texas Pan American Univ., Edinburg, TX, USA

fYear

1994

fDate

6-9 Nov 1994

Firstpage

571

Lastpage

577

Abstract

Abduction, or inference to the best explanation, has been used in artificial intelligence as a framework for solving problems ranging from diagnosis, to test interpretation, to theory formation, to natural language understanding, to perception. Previous research on computational models of abduction has suggested that a single generic strategy may be used to perform abductions in a variety of domains and across very diverse problems. This paper describes a generic strategy for abduction and a tool, Peirce, for constructing abductive problem solving systems

Keywords

explanation; inference mechanisms; problem solving; uncertainty handling; Peirce; abduction; abductive inference tool; abductive problem solving systems; artificial intelligence; best explanation; computational models; diagnosis; generic strategy; inference; natural language understanding; perception; problem solving; single generic strategy; test interpretation; theory formation; Artificial neural networks; Calculus; Computer science; Information science; Mathematics; Natural languages; Neural networks; Probability; Problem-solving; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-8186-6785-0

Type

conf

DOI

10.1109/TAI.1994.346441

Filename

346441