A Logical Basis for Learning in Robots Worlds
Identifieur interne : 003C34 ( Crin/Checkpoint ); précédent : 003C33; suivant : 003C35A Logical Basis for Learning in Robots Worlds
Auteurs : E. Kounalis ; M. RusinowitchSource :
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Abstract
This paper discusses the problem of learning in Horn theories and shows how to apply this approach in robotics.
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<sourceDesc><biblStruct><analytic><title xml:lang="en">A Logical Basis for Learning in Robots Worlds</title>
<author><name sortKey="Kounalis, E" sort="Kounalis, E" uniqKey="Kounalis E" first="E." last="Kounalis">E. Kounalis</name>
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<author><name sortKey="Rusinowitch, M" sort="Rusinowitch, M" uniqKey="Rusinowitch M" first="M." last="Rusinowitch">M. Rusinowitch</name>
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<front><div type="abstract" xml:lang="en" wicri:score="237">This paper discusses the problem of learning in Horn theories and shows how to apply this approach in robotics.</div>
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<BibTex type="inproceedings"><ref>kounalis90d</ref>
<crinnumber>90-R-067</crinnumber>
<category>3</category>
<equipe>EURECA</equipe>
<author><e>Kounalis, E.</e>
<e>Rusinowitch, M.</e>
</author>
<title>A Logical Basis for Learning in Robots Worlds</title>
<booktitle>{Proceedings 5th International Conference in Artificial Intelligence Applied to Engineering, Boston (USA)}</booktitle>
<year>1990</year>
<editor>G. Rzevski</editor>
<volume>2</volume>
<pages>275-288</pages>
<month>jul</month>
<publisher>Computational Mechanics Publications and Springer Verlag</publisher>
<keywords><e>learning</e>
<e>reasoning</e>
<e>robotics</e>
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<abstract>This paper discusses the problem of learning in Horn theories and shows how to apply this approach in robotics.</abstract>
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