Genetic programming to learn an agent's monitoring strategy
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Atkin:1993:GPLAMS,
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author = "M. Atkin and P. R. Cohen",
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title = "Genetic programming to learn an agent's monitoring
strategy",
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booktitle = "Proceedings of the AAAI-93 Workshop on Learning Action
Models",
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year = "1993",
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editor = "Wei-Min Shen",
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pages = "36--41",
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publisher = "AAAI Press",
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URL = "http://www.aaai.org/Papers/Workshops/1993/WS-93-06/WS93-06-009.pdf",
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URL = "http://www.aaai.org/Library/Workshops/ws93-06.php",
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keywords = "genetic algorithms, genetic programming",
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size = "6 pages",
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abstract = "Many tasks require an agent to monitor its
environment, but little is known about appropriate
monitoring strategies to use in particular situations.
Our approach is to learn good monitoring strategies
with a genetic programming algorithm. To this end, we
have developed a simple agent programming language in
which we represent monitoring strategies as programs
that control a simulated robot, and a simulator in
which the programs can be evaluated. The effect of
different environments and tasks is determined
experimentally; changing features of the environment
will change which strategies are learnt. The
correspondence can then be analysed.",
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notes = "Also available as \cite{Atkin:1993:GPLAMSa}?",
- }
Genetic Programming entries for
Marc S Atkin
Paul R Cohen
Citations