CASP solutions for planning in hybrid domains

Constraint answer set programming (CASP) is an extension of answer set programming that allows for numerical constraints to be added in the rules. PDDL+ is an extension of the PDDL standard language of automated planning for modeling mixed discrete-continuous dynamics. In this paper, we present CASP...

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Veröffentlicht in:Theory and practice of logic programming Jg. 17; H. 4; S. 591 - 633
Hauptverfasser: BALDUCCINI, MARCELLO, MAGAZZENI, DANIELE, MARATEA, MARCO, LEBLANC, EMILY C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cambridge, UK Cambridge University Press 01.07.2017
Schlagworte:
Constraints
Mathematical models
Regular Papers
Solvers
Viability
planning
Answer set programming
hybrid domains
ISSN:1471-0684, 1475-3081
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Abstract Constraint answer set programming (CASP) is an extension of answer set programming that allows for numerical constraints to be added in the rules. PDDL+ is an extension of the PDDL standard language of automated planning for modeling mixed discrete-continuous dynamics. In this paper, we present CASP solutions for dealing with PDDL+ problems, i.e., encoding from PDDL+ to CASP, and extensions to the algorithm of the ezcsp CASP solver in order to solve CASP programs arising from PDDL+ domains. An experimental analysis, performed on well-known linear and non-linear variants of PDDL+ domains, involving various configurations of the ezcsp solver, other CASP solvers, and PDDL+ planners, shows the viability of our solution.
AbstractList Constraint answer set programming (CASP) is an extension of answer set programming that allows for numerical constraints to be added in the rules. PDDL+ is an extension of the PDDL standard language of automated planning for modeling mixed discrete-continuous dynamics. In this paper, we present CASP solutions for dealing with PDDL+ problems, i.e., encoding from PDDL+ to CASP, and extensions to the algorithm of the ezcsp CASP solver in order to solve CASP programs arising from PDDL+ domains. An experimental analysis, performed on well-known linear and non-linear variants of PDDL+ domains, involving various configurations of the ezcsp solver, other CASP solvers, and PDDL+ planners, shows the viability of our solution.
Constraint answer set programming (CASP) is an extension of answer set programming that allows for numerical constraints to be added in the rules. PDDL+ is an extension of the PDDL standard language of automated planning for modeling mixed discrete-continuous dynamics. In this paper, we present CASP solutions for dealing with PDDL+ problems, i.e., encoding from PDDL+ to CASP, and extensions to the algorithm of the ezcsp CASP solver in order to solve CASP programs arising from PDDL+ domains. An experimental analysis, performed on well-known linear and non-linear variants of PDDL+ domains, involving various configurations of the ezcsp solver, other CASP solvers, and PDDL+ planners, shows the viability of our solution.
Author MAGAZZENI, DANIELE
BALDUCCINI, MARCELLO
MARATEA, MARCO
LEBLANC, EMILY C.
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  email: daniele.magazzeni@kcl.ac.uk
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  givenname: MARCO
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  surname: LEBLANC
  fullname: LEBLANC, EMILY C.
  email: ecl38@drexel.edu
  organization: Drexel University, Computer Science Department, 3141 Chestnut Avenue, PA 19104, USA (e-mail: ecl38@drexel.edu)
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Snippet Constraint answer set programming (CASP) is an extension of answer set programming that allows for numerical constraints to be added in the rules. PDDL+ is an...
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Viability
Title CASP solutions for planning in hybrid domains
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