Paper Details

  • Title:

    A visual programming system for automated problem solving

  • Author(s):

    O. Hatzi, Dimitris Vrakas, Nick Bassiliades, D. Anagnostopoulos, I. Vlahavas

  • Keywords: -
  • Abstract:

    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.

  • Category: Journal Papers
  • Tags: 2010 Hatzi Vrakas Bassiliades Anagnostopoulos Vlahavas