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Domain and system influences in problem solving models for planning

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Advances in Knowledge Acquisition (EKAW 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1076))

Abstract

The field of knowledge level modelling has achieved great success when applied to various domains, yet has thus far largely neglected the generic areas of planning, scheduling and resource allocation. In this paper we outline the development and use of a knowledge level modelling approach within the domain of planning for Search and Rescue. Existing problem solving models for planning are almost exclusively derived from the analysis of systems. We argue that this makes their suitability for directly assisting knowledge acquisition debatable. Our approach makes a clear distinction between domain derived knowledge level models and those derived from systems. We describe how the combination of these two types of model can achieve definite benefits within the course of KBS development.

The work described has been done under contract to the Defence Research Agency Flight Systems Division, Famborough. The project was a joint effort between the AI Group at Nottingham and AIAI at Edinburgh.

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Authors and Affiliations

  1. AI Group, Dept of Psychology, University of Nottingham, NG7 2RD, University Park, Nottingham

    Hugh Cottam & Nigel Shadbolt

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  1. Hugh Cottam
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  2. Nigel Shadbolt
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Nigel Shadbolt Kieron O'Hara Guus Schreiber

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© 1996 Springer-Verlag Berlin Heidelberg

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Cottam, H., Shadbolt, N. (1996). Domain and system influences in problem solving models for planning. In: Shadbolt, N., O'Hara, K., Schreiber, G. (eds) Advances in Knowledge Acquisition. EKAW 1996. Lecture Notes in Computer Science, vol 1076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61273-4_23

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  • DOI: https://doi.org/10.1007/3-540-61273-4_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61273-5

  • Online ISBN: 978-3-540-68391-9

  • eBook Packages: Springer Book Archive

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