A Framework for Hybrid Planning

Garagnani, M.. 2005. A Framework for Hybrid Planning. In: Max Bramer; Frans Coenen and Tony Allen, eds. Research and Development in Intelligent Systems XXI: Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer, pp. 214-227. ISBN 9781852339074 [Book Section]

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Abstract or Description

Sentential and analogical representations constitute two complementary formalisms for describing problems and domains. Experimental evidence indicates that different domain types can have their most efficient encoding in different representations.
While real-world problems typically involve a combination of different types of domains, all modern planning domain description languages are purely sentential. This paper proposes a framework for planning with hybrid models, in which sentential and analogical descriptions can be integrated and used interchangeably, thereby allowing a more efficient description of realistically complex planning problems.

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Book Section

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Constant Symbol, Analogical Representation, Planning Language, Hybrid Representation, Type Hierarchy

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Date Deposited:

13 Dec 2019 11:46

Last Modified:

13 Dec 2019 11:46



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