AI planning: systems and techniques
AI Magazine
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Web service composition using a deductive XML rule language
Distributed and Parallel Databases
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
Integrated intelligent techniques for remarshaling and berthing in maritime terminals
Advanced Engineering Informatics
Intelligent planning for allocating containers in maritime terminals
Expert Systems with Applications: An International Journal
Using social network technology to provide e-administration services as collaborative tasks
EGOVIS'12/EDEM'12 Proceedings of the 2012 Joint international conference on Electronic Government and the Information Systems Perspective and Electronic Democracy, and Proceedings of the 2012 Joint international conference on Advancing Democracy, Government and Governance
Hi-index | 12.05 |
Although new AI planning algorithms and techniques are being developed and improved rapidly, there is a lack of efficient and easy to use systems able to incorporate and utilize them. Furthermore, while visual representation facilitates design, maintenance and comprehension of planning domains and problems, very few systems incorporate it. This paper presents VLEPPO, an integrated system aiming at visually modeling planning domains and problems through a convenient graphical interface, while maintaining compatibility with the Planning Domain Definition Language (PDDL), with import and export features. Solutions to planning problems can be obtained by invoking different planners employing the web services technology. The demonstration of the system is performed through a case study involving web service composition viewed as a planning problem.