Fast planning through planning graph analysis
Artificial Intelligence
Semiring-based constraint satisfaction and optimization
Journal of the ACM (JACM)
Multi-valued symbolic model-checking
ACM Transactions on Software Engineering and Methodology (TOSEM)
CAMA: A Multi-Valued Satisfiability Solver
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
CADE' 20 Proceedings of the 20th international conference on Automated Deduction
Parallel Actions and Generalized Multivalued Constraints in Multivalued Planning
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
International Journal of Artificial Intelligence and Soft Computing
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In this work a model for planning with multivalued fluents and graded actions, based on the infinite valued Lukasiewicz logic, is introduced. In multivalued planning, fluents can assume truth values in the interval [0, 1] and actions can be executed at different application degrees also varying in [0, 1]. The notions of planning problem and solution plan also reflect a multivalued approach. Multivalued fluents and graded actions allow to model many real situations where some features of the world cannot be modeled with boolean values and where actions can be executed with varying strength which produces graded effects as well. Even if most existing planning models fail to address this kind of domains, our model is comparable with models allowing flexible actions and soft constraints. A correct/complete algorithm which solves bounded multivalued planning problems based on MIP compilation is also described and a prototype implementation is presented.