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Optimal search for conjunctive goals using constraints

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Trends in Artificial Intelligence (AI*IA 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 549))

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Abstract

OSCG is a general admissible algorithm which finds an optimal path through multiple dependent goals in a labelled directed graph. It uses constraints to turn the problem of solving multiple dependent goals into that of solving multiple independent ones. OSCG arose out of work on MARPLES, a route planning expert system. OSCG's admissibility is proven, and related and further work discussed.

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Edoardo Ardizzone Salvatore Gaglio Filippo Sorbello

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© 1991 Springer-Verlag Berlin Heidelberg

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Ellman, J., Mezzanatto, G. (1991). Optimal search for conjunctive goals using constraints. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_222

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  • DOI: https://doi.org/10.1007/3-540-54712-6_222

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54712-9

  • Online ISBN: 978-3-540-46443-3

  • eBook Packages: Springer Book Archive

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