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Case-based reasoning for action planning by representing situations at the abstract layers

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Fuzzy Logic and Fuzzy Control (IJCAI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 833))

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Abstract

A robot which can act according to natural language instructions must complement information from experiences and common knowledge to adapt to various situations. In this paper, we propose a method to evaluate the similarities of concepts by representing situations in abstract layers which are hierarchically arranged. We also present a method for case-based reasoning for planning which uses the layers as viewpoints for case retrieval. The technique is applied to the action planning for the house-work robot.

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Dimiter Driankov Peter W. Eklund Anca L. Ralescu

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© 1994 Springer-Verlag Berlin Heidelberg

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Yokogawa, T., Sakurai, T., Nukuzuma, A., Takagi, T., Kobayashi, S. (1994). Case-based reasoning for action planning by representing situations at the abstract layers. In: Driankov, D., Eklund, P.W., Ralescu, A.L. (eds) Fuzzy Logic and Fuzzy Control. IJCAI 1991. Lecture Notes in Computer Science, vol 833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58279-7_23

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  • DOI: https://doi.org/10.1007/3-540-58279-7_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58279-3

  • Online ISBN: 978-3-540-48602-2

  • eBook Packages: Springer Book Archive

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