Title :
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
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;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346441
