• DocumentCode
    188500
  • Title

    A Numeric PDDL Based Approach for Temporally Constrained Journey Problems

  • Author

    Caff, Sebastiano Concetto Marco ; Di Mauro, Francesco ; Scala, Enrico

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Torino, Turin, Italy
  • fYear
    2014
  • fDate
    10-12 Nov. 2014
  • Firstpage
    99
  • Lastpage
    106
  • Abstract
    Many realistic life scenarios require dealing with deadlines and action durations. Such constraints, together with propositional and resource conditions must be taken into account in order to make plans which are actually feasible. In order to combine these aspects, the paper deals with the entailed temporal constrained planning problem by using the framework of numeric planning, based on an action centred philosophy a-la PDDL. The approach is motivated by the necessity of integrating scheduling and planning in the context of a multi-modal journey planning problem. In order to evaluate the feasibility of the approach, the paper presents JoPA, a web service architecture which has been thoroughly evaluated employing two state of the art numeric planning systems, i.e. Metric-FF and Colin. Results show that the approach is feasible considering (un) constrained and optimization tasks.
  • Keywords
    Web services; optimisation; traffic information systems; Colin; JoPA; Metric-FF; Web service architecture; multimodal journey planning problem; numeric PDDL based approach; optimization tasks; propositional conditions; realistic life scenarios; resource conditions; temporal constrained planning problem; temporally constrained journey problems; Airplanes; Artificial intelligence; Encoding; Measurement; Numerical models; Planning; AI Planning; Multi Modal Journey Problems; Numeric Constraints; PDDL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
  • Conference_Location
    Limassol
  • ISSN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2014.25
  • Filename
    6984461