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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Abstract
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) |
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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 14:05 |
Last Modified: | 28 Aug 2021 20:54 |
URI: | http://eprints.hud.ac.uk/id/eprint/13287 |
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