Tools
Tools
McCluskey, T.L. (1987) Combining weak learning heuristics in general problem solvers. In: 10th International Joint Conference on Artificial Intelligence, 1987, Milan, Italy.
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Abstract
This paper is concerned with state space problem
solvers that achieve generality by learning strong
heuristics through experience in a particular domain. We specifically consider two ways of learning by analysing past solutions that can improve future problem solving: creating macros and the chunks. A method of learning search heuristics is specified which is related to 'chunking' but which complements the use
of macros within a goal directed system. An example of the creation and combined use of macros and chunks, taken from an implemented system, is described.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Schools: | School of Computing and Engineering School of Computing and Engineering > Pedagogical Research Group School of Computing and Engineering > Informatics Research Group School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces |
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| Depositing User: | Sharon Beastall |
| Date Deposited: | 25 Jun 2010 08:46 |
| Last Modified: | 16 Dec 2010 13:58 |
| URI: | http://eprints.hud.ac.uk/id/eprint/7938 |
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