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Towards Learning Operator Schema from Free Text

Fanan, A and McCluskey, T.L. (2012) Towards Learning Operator Schema from Free Text. In: PlanSIG 2011: The 29th Workshop of the UK Planning and Scheduling Special Interest Group, 8th-9th December 2011, University of Huddersfield.

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    In automated planning current research is focused
    on developing domain-independent planning engines.
    These require domain models, written in a standard
    input language such as PDDL to supply knowledge of
    the planning application and task, before they can be
    used. The main component of a domain model is the
    representation of actions in the form of lifted opera-
    tor schema. The acquisition and engineering of these
    schema is an important area of research, as this process
    is recognised as being di�cult and laborious even for
    planning experts.
    A fruitful line of research is to investigate mechanisms
    to automatically learn planning domain models. Re-
    cent research has studied learning from structured or
    re�ned inputs supplied by a training agent (Cress-
    well, McCluskey, and West 2011; Zhuo et al. 2010;
    Wu, Yang, and Jiang 2005; McCluskey et al. 2010). An
    alternative method would be to allow planning agents
    to learn and develop the domain models by observa-
    tion. One freely available source for learning actions
    is selected web text; here actions are represented as
    verbs in natural language. This project aims to in-
    vestigate the possibility of extracting formal structures
    representing actions from free text. We intend to utilise
    large text corpuses available on-line from which to ex-
    tract such action knowledge, and learn operator schema
    in a formal language that can be converted to PDDL.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Schools: School of Computing and Engineering
    Related URLs:
    Depositing User: Ali Fanan
    Date Deposited: 19 Apr 2012 15:05
    Last Modified: 19 Apr 2012 15:05


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