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Service Composition with PDDL Representations and Visualization over Videogame Engines (Short Paper)

Giuseppe De Giacomo,Valsamis Ntouskos,F. Patrizi,S. Vassos,D. Aversa

Published 2015 in IEEE International Conference on Service-Oriented Computing and Applications

ABSTRACT

We devise a succinct knowledge representation framework based on a nondeterministic variant of a well-known Artificial Intelligence formalism, called PDDL, for representing dynamic domains in Planning. We represent the environment and the agents' (high-level) behavior as distinct PDDL action domains and exploit service composition techniques, to compose agent behaviors so as to realize a collective behavior of interest to the user. Specifically, we characterize the computational complexity of the problem and give effective algorithms for solving it, taking advantage of the succinct representation in PDDL. We explore the visualization of service composition over this framework based on the videogame metaphor of virtual worlds using a popular engine. The execution then of agents as game characters provides a form of procedural attachment of atomic actions to concrete interactions within a realistic 3D space.

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    IEEE International Conference on Service-Oriented Computing and Applications

  • Publication date

    2015-10-01

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.1109/SOCA.2015.46
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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