PDDL+ planning via constraint answer set programming

Marcello Balduccini, Daniele Magazzeni, Marco Maratea

Research output: Contribution to conference typesPaperpeer-review

3 Citations (Scopus)

Abstract

PDDL+ is an extension of PDDL that enables modelling planning domains with mixed discrete-continuous dynamics. In this paper we present a new approach to PDDL+ planning based on Constraint Answer Set Programming (CASP), i.e. ASP rules plus numerical constraints. To the best of our knowledge, ours is the first attempt to link PDDL+ planning and logic programming. We provide an encoding of PDDL+ models into CASP problems. The encoding can handle non-linear hybrid domains, and represents a solid basis for applying logic programming to PDDL+ planning. As a case study, we consider the EZCSP CASP solver and obtain promising results on a set of PDDL+ benchmark problems.

Original languageEnglish
Pages1-12
Number of pages12
Publication statusPublished - 1 Jan 2016
Event9th Workshop on Answer Set Programming and Other Computing Paradigms, ASPOCP 2016, co-located and Affiliated with the 32nd International Conference on Logic Programming, ICLP 2016 - New York City, United States
Duration: 16 Oct 2016 → …

Conference

Conference9th Workshop on Answer Set Programming and Other Computing Paradigms, ASPOCP 2016, co-located and Affiliated with the 32nd International Conference on Logic Programming, ICLP 2016
Country/TerritoryUnited States
CityNew York City
Period16/10/2016 → …

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