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Solving VT in VITAL: A Study in Model Construction and Knowledge Reuse

Solving VT in VITAL: A Study in Model Construction and Knowledge Reuse
Solving VT in VITAL: A Study in Model Construction and Knowledge Reuse
In this paper we discuss a solution to the Sisyphus II elevator design problem developed using the VITAL approach to structured knowledge-based system development. In particular we illustrate in detail the process by which an initial model of Propose & Revise problem solving was constructed using a generative grammar of model fragments and then refined and operationalized in the VITAL operational conceptual modelling language (OCML). In the paper we also discuss in detail the properties of a particular Propose & Revise architecture, called “Complete-Model-then-Revise”, and we show that it compares favourably in terms of competence with alternative Propose & Revise models. Moreover, using as an example the VT domain ontology provided as part of the Sisyphus II task, we critically examine the issues affecting the development of reusable ontologies. Finally, we discuss the performance of our problem solver and we show how we can use machine learning techniques to uncover additional strategic knowledge not present in the VT domain.
333-371
Motta, Enrico
2f1a75ef-39d1-44e6-87a3-4b18855e3a7d
Stutt, Arthur
dc3f5450-e6c1-4081-af24-5a0a9bdf93a5
Zdrahal, Zdenek
ae7eb91d-f866-4f22-b3b1-84a2439a7018
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Motta, Enrico
2f1a75ef-39d1-44e6-87a3-4b18855e3a7d
Stutt, Arthur
dc3f5450-e6c1-4081-af24-5a0a9bdf93a5
Zdrahal, Zdenek
ae7eb91d-f866-4f22-b3b1-84a2439a7018
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Motta, Enrico, Stutt, Arthur, Zdrahal, Zdenek, O'Hara, Kieron and Shadbolt, Nigel (1996) Solving VT in VITAL: A Study in Model Construction and Knowledge Reuse. International Journal of Human-Computer Studies, 44 (3/4), 333-371. (doi:10.1006/ijhc.1996.0018).

Record type: Article

Abstract

In this paper we discuss a solution to the Sisyphus II elevator design problem developed using the VITAL approach to structured knowledge-based system development. In particular we illustrate in detail the process by which an initial model of Propose & Revise problem solving was constructed using a generative grammar of model fragments and then refined and operationalized in the VITAL operational conceptual modelling language (OCML). In the paper we also discuss in detail the properties of a particular Propose & Revise architecture, called “Complete-Model-then-Revise”, and we show that it compares favourably in terms of competence with alternative Propose & Revise models. Moreover, using as an example the VT domain ontology provided as part of the Sisyphus II task, we critically examine the issues affecting the development of reusable ontologies. Finally, we discuss the performance of our problem solver and we show how we can use machine learning techniques to uncover additional strategic knowledge not present in the VT domain.

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Published date: 1996
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 252298
URI: http://eprints.soton.ac.uk/id/eprint/252298
PURE UUID: 540697b8-8aa9-44da-9aa5-86eae92a9514
ORCID for Kieron O'Hara: ORCID iD orcid.org/0000-0002-9051-4456

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Date deposited: 19 Jan 2000
Last modified: 18 Feb 2021 16:57

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Contributors

Author: Enrico Motta
Author: Arthur Stutt
Author: Zdenek Zdrahal
Author: Kieron O'Hara ORCID iD
Author: Nigel Shadbolt

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