Tools
Tools
Bartak, Roman, Cesta, Amedeo, McCluskey, T.L. and Salido, M. (2010) Preface to special issue on planning and scheduling. Knowledge Engineering Review, 25 (3). pp. 247-248. ISSN 0269-8889
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Abstract
Planning, scheduling and constraint satisfaction are important areas in artificial intelligence (AI)
with broad practical applicability. Many real-world problems can be formulated as AI planning
and scheduling (P&S) problems, where resources must be allocated to optimize overall performance
objectives. Frequently, solving these problems requires an adequate mixture of planning,
scheduling and resource allocation to competing goal activities over time in the presence of
complex state-dependent constraints. Constraint satisfaction plays an important role in solving
such real-life problems, and integrated techniques that manage P&S with constraint satisfaction
are particularly useful. Knowledge engineering supports the solution of such problems by providing
adequate modelling techniques and knowledge extraction techniques for improving the
performance of planners and schedulers. Briefly speaking, knowledge engineering tools serve as a
bridge between the real world and P&S systems.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Schools: | School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces School of Computing and Engineering School of Computing and Engineering > Pedagogical Research Group |
| Related URLs: | |
| Depositing User: | Thomas Mccluskey |
| Date Deposited: | 17 Mar 2011 14:55 |
| Last Modified: | 01 Oct 2011 01:38 |
| URI: | http://eprints.hud.ac.uk/id/eprint/9862 |
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