Arrow Research search
Back to AAAI

AAAI 1987

Revised Dependency-directed Backtracking for Default Reasoning

Conference Paper Automated Reasoning Artificial Intelligence

Abstract

Default reasoning is a useful inference technique which involves choosing a single context in which further inferences are to be made. If this choice is incorrect, the context may need to be switched. Dependency-directed backtracking provides a method for such context switching. Doyle’s algorithm for dependency-directed backtracking is revised to allow context switching to be guided by the calling inference system using domain knowledge. This new backtracking mechanism has been implemented as part of software for developing expert systems.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
758878810508266336