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Hybrid Hierarchical Knowledge Organization for Planning

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Progress in Artificial Intelligence (EPIA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2258))

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Abstract

This paper presents a hybrid hierarchical knowledge-based system that is currently under development. This system is used for basic planning purposes at present. The important component of the system is a set of plan operator structures. Indexing and packaging hierarchies together play a key role in the construction of a structure. An abstraction hierarchy is used to organize the domain knowledge of the system. The system utilizes some heuristic knowledge of the domain to avoid brittleness. The system has been implemented in the domain of cooking vegetables in Indian style. A restricted natural language interface is incorporated for the convenient specification of user inputs.

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Author information

Authors and Affiliations

  1. School of Computer and Information Sciences, Georgia Southwestern State University, 31709, Americus, GA, USA

    Bhanu Prasad

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  1. Bhanu Prasad
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Editor information

Editors and Affiliations

  1. Faculty of Economics LIACC, Laboratório de Inteligência Artificial e Ciência de Computadores, University of Porto, Rua do Campo Alegre, 823, 4150-180, Porto, Portugal

    Pavel Brazdil  & Alípio Jorge  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Prasad, B. (2001). Hybrid Hierarchical Knowledge Organization for Planning. In: Brazdil, P., Jorge, A. (eds) Progress in Artificial Intelligence. EPIA 2001. Lecture Notes in Computer Science(), vol 2258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45329-6_39

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  • DOI: https://doi.org/10.1007/3-540-45329-6_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43030-8

  • Online ISBN: 978-3-540-45329-1

  • eBook Packages: Springer Book Archive

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