A compilation of the full PDDL+ language into SMT

Michael  Cashmore; Maria  Fox; Derek  Long; Daniele  Magazzeni

A compilation of the full PDDL+ language into SMT

Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni

Computer And Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

Planning in hybrid systems is important for dealing with realworld applications. PDDL+ supports this representation of domains with mixed discrete and continuous dynamics, and supports events and processes modelling exogenous change. Motivated by numerous SAT-based planning approaches, we propose an approach to PDDL+ planning through SMT, describing an SMT encoding that captures all the features of the PDDL+ problem as published by Fox and Long (2006). The encoding can be applied on domains with nonlinear continuous change. We apply this encoding in a simple planning algorithm, demonstrating excellent results on a set of benchmark problems.

Original language	English
Title of host publication	Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS 2016)
Place of Publication	Menlo Park, US-CA.
Pages	583-591
Number of pages	9
Volume	2016-January
Publication status	Published - 30 Mar 2016

Keywords

PDDL+
planning
nonlinear continuous change
planning algorithms
AI
artifical intelligence

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Cashmore-etal-AIPHS-2016-A-compilation-of-the-full-PDDL-language-into-SMTFinal published version, 593 KBLicence: All rights reserved

https://www.aaai.org/ocs/index.php/ICAPS/ICAPS16/paper/view/13101

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Michael Cashmore
- michael.cashmore@strath.ac.uk
- Computer And Information Sciences - Lecturer B
Person: Academic

Cite this

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title = "A compilation of the full PDDL+ language into SMT",

abstract = "Planning in hybrid systems is important for dealing with realworld applications. PDDL+ supports this representation of domains with mixed discrete and continuous dynamics, and supports events and processes modelling exogenous change. Motivated by numerous SAT-based planning approaches, we propose an approach to PDDL+ planning through SMT, describing an SMT encoding that captures all the features of the PDDL+ problem as published by Fox and Long (2006). The encoding can be applied on domains with nonlinear continuous change. We apply this encoding in a simple planning algorithm, demonstrating excellent results on a set of benchmark problems.",

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A compilation of the full PDDL+ language into SMT. / Cashmore, Michael ; Fox, Maria ; Long, Derek ; Magazzeni, Daniele .

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS 2016). Vol. 2016-January Menlo Park, US-CA., 2016. p. 583-591.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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