knowledge representation and nonmonotonic reasoning;
technical notes and rapid communications;
answer set programming;
automated planning;
action and change;
ANSWER;
SATISFIABILITY;
D O I:
10.1017/S1471068418000583
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
We describe the new version of the Planning Domain Definition Language (PDDL)-to-Answer Set Programming (ASP) translator plasp. First, it widens the range of accepted PDDL features. Second, it contains novel planning encodings, some inspired by Satisfiability Testing (SAT) planning and others exploiting ASP features such as well-foundedness. All of them are designed for handling multivalued fluents in order to capture both PDDL as well as SAS planning formats. Third, enabled by multishot ASP solving, it offers advanced planning algorithms also borrowed from SAT planning. As a result, plasp provides us with an ASP-based framework for studying a variety of planning techniques in a uniform setting. Finally, we demonstrate in an empirical analysis that these techniques have a significant impact on the performance of ASP planning.
机构:
African Centre for Cities, Room 2.08.1, Shell Environmental and Geographical Science Building, University of Cape Town, RondeboschAfrican Centre for Cities, Room 2.08.1, Shell Environmental and Geographical Science Building, University of Cape Town, Rondebosch
Makanga P.
Smit J.
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机构:
African Centre for Cities, Room 2.08.1, Shell Environmental and Geographical Science Building, University of Cape Town, RondeboschAfrican Centre for Cities, Room 2.08.1, Shell Environmental and Geographical Science Building, University of Cape Town, Rondebosch