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AIJ 1976

Generalized and/or graphs

Journal Article journal-article Artificial Intelligence

Abstract

A generalization of AND/OR graphs is introduced as a problem solving model, in which subproblem interdependence in problem reduction can be explicitly accounted for. An ordered-search algorithm is given to find a solution. The algorithm is proven to be admissible and optimal. Examples are given which show the application of the formalism to problems which cannot be modelled by AND/OR graphs. Generalized AND/OR graphs are finally shown to be equivalent to type O grammars. Finding a solution of a generalized AND/OR graph is shown to be equivalent to deriving a sentence in the corresponding type O grammar.

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Context

Venue
Artificial Intelligence
Archive span
1970-2026
Indexed papers
3976
Paper id
871479656067745807
v2026.09.13