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Temporal landmark graphs for solving overconstrained planning problems
- Source :
- RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- This paper presents TempLM, a novel approach for handling temporal planning problems with deadlines. The proposal revolves around the concept of temporal landmark, a proposition that must be necessarily true in all solution plans to achieve the problem goals within their deadlines. The temporal landmarks extracted from the problem form a landmarks graph where nodes are landmarks and edges represent temporal as well as causal relationships between landmarks. The graph comprises information about which propositions and when these propositions must be achieved in a solution plan, information that is later used to guide the search process as well as reduce the search space. Thus, the partial plans of the search tree that are not compliant with the information comprised in this graph are pruned. We present an exhaustive experimentation evaluation in overconstrained and unsolvable problems and we compare the performance of TempLM with other state-of-the-art planners. The results will show the efficiency of TempLM in the detection of unsolvable problems. (C) 2016 Elsevier B.V. All rights reserved<br />We thank Derek Long for solving our doubts about the modal operators in PDDL3 and Erez Karpas for supplying the compiled domain and problem files with their temporal landmarks. This work has been partially supported by Spanish Government Project MINECO TIN2014-55637-C2-2-R.
- Subjects :
- Information Systems and Management
Landmark
Temporal planning
Landmarks
Computer science
business.industry
02 engineering and technology
Automated planning
Deadlines
Graph
Search tree
Management Information Systems
Artificial Intelligence
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
LENGUAJES Y SISTEMAS INFORMATICOS
Software
Subjects
Details
- ISSN :
- 09507051
- Volume :
- 106
- Database :
- OpenAIRE
- Journal :
- Knowledge-Based Systems
- Accession number :
- edsair.doi.dedup.....1bbaada4dea30f4e9383372c685b94e3
- Full Text :
- https://doi.org/10.1016/j.knosys.2016.05.029