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IJCAI 1989

Ordering Problem Subgoals

Conference Paper Kurt Konolige and Martha E. Pollack 924 Artificial Intelligence

Abstract

Most past research work on problem subgoal ordering are of a heuristic nature and very little attempt has been made to reveal the inherent relationship between subgoal ordering constraints and problem operator schemata. As a result, subgoal ordering strategies which have been developed tend to be either overly committed, imposing ordering on subgoals subjectively or randomly, or overly restricted, ordering subgoals only after a violation of ordering constraints becomes explicit during the development of a problem solution or plan. This paper proposes a new approach characterized by a formal representation of subgoal ordering constraints which makes explicit the relationship between the constraints and the problem operator schemata. Following this approach, it becomes straightforward to categorize various types of subgoal ordering constraints, to manipulate or extend the relational representation of the constraints, to systematically detect important subgoal ordering constraints from problem specifications, and to apply the detected constraints to multiple problem instances.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
951857788926946957
v2026.09.13