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LPAR 2000

Solving Planning Problems by Partial Deduction

Conference Paper Session 11. Planning and reasoning about actions Artificial Intelligence · Logic in Computer Science

Abstract

Abstract We develop an abstract partial deduction method capable of solving planning problems in the Fluent Calculus. To this end, we extend “classical” partial deduction to accommodate both, equational theories and regular type information. We show that our new method is actually complete for conjunctive planning problems in the propositional Fluent Calculus. Furthermore, we believe that our approach can also be used for more complex systems, e. g. , in cases where completeness can not be guaranteed due to general undecidability.

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Context

Venue
International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Archive span
1992-2024
Indexed papers
780
Paper id
921048210645217787
v2026.09.13