Book review: Abduetive Inference Models for Diagnostic Problem Solving by Y. Peng and J. Reggia (Springer Verlag New York 1990)

Authors:
Paul Thagard
Affiliations:
Cognitive Science Laboratory, Princeton University, 221 Nassau St., Princeton, NJ 08542. pault@clarity.princeton.edu
Venue:
ACM SIGART Bulletin
Year:
1990

Citing 3
Cited 0

Computational philosophy of science

Computational philosophy of science
Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms

Probabilistic reasoning in expert systems: theory and algorithms

Quantified Score

Hi-index	0.03

Visualization

Abstract

In the spring of 1990, the American Association for Artificial Intelligence sponsored a symposium on abductive inference, bringing together several dozen researchers (O'Rorke 1990). The term "abduction" as a form of inference originated with C.S. Peirce in the 1890s, and was introduced in artificial intelligence by Pople (1973). In recent years, it has found increasing use by researchers working on a diverse set of topics, particularly medical diagnosis, scientific discovery, and natural language understanding. But what is abductive inference?