Planning in the Wild: Modeling Tools for PDDL
Autor: | Volker Strobel, Alexandra Kirsch |
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Přispěvatelé: | Institute for Advanced Studies, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Intelligent Autonomous Systems, Human-Computer Interaction and Artificial Intelligence, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen |
Rok vydání: | 2015 |
Předmět: |
FOS: Computer and information sciences
business.industry Computer science System usability scale Knowledge engineering Computer Science - Human-Computer Interaction 02 engineering and technology [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Modular design Planning Domain Definition Language Visualization [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Human-Computer Interaction (cs.HC) 020204 information systems Automated planning and scheduling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Software engineering Syntax highlighting |
Zdroj: | 37th German Conference on Artificial Intelligence 37th German Conference on Artificial Intelligence, 2014, Stuttgart, Germany Scopus-Elsevier Lecture Notes in Computer Science ISBN: 9783319112053 KI |
DOI: | 10.48550/arxiv.1511.07500 |
Popis: | International audience; Even though there are sophisticated AI planning algorithms, many integrated, large-scale projects do not use planning. One reason seems to be the missing support by engineering tools such as syntax highlighting and visualization. We propose myPDDL— a modular toolbox for efficiently creating pddl domains and problems. To evaluate myPDDL, we compare it to existing knowledge engineering tools for pddl and experimentally assess its usefulness for novice PDDL users. |
Databáze: | OpenAIRE |
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