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A blackboard architecture for a hybrid CBR system for scientific software

A blackboard architecture for a hybrid CBR system for scientific software

Petridis, Miltos and Knight, Brian (2001) A blackboard architecture for a hybrid CBR system for scientific software. In: 4th International Conference on Case-Based Reasoning, ICCBR 2001 Vancouver, BC, Canada, July 30 - August. Navy Centre for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington DC, USA, pp. 189-195.

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Abstract

This paper describes the use of a blackboard architecture for building a hybrid case based reasoning (CBR) system. The Smartfire fire field modelling package has been built using this architecture and includes a CBR component. It allows the integration into the system of qualitative spatial reasoning knowledge from domain experts. The system can be used for the automatic set-up of fire field models. This enables fire safety practitioners who are not expert in modelling techniques to use a fire modelling tool. The paper discusses the integrating powers of the architecture, which is based on a common knowledge representation comprising a metric diagram and place vocabulary and mechanisms for adaptation and conflict resolution built on the Blackboard.

Item Type: Conference Proceedings
Title of Proceedings: 4th International Conference on Case-Based Reasoning, ICCBR 2001 Vancouver, BC, Canada, July 30 - August
Additional Information: [1] This paper was first presented on 31 July 2001 within the Workshop Program at the 4th International Conference on Case-Based Reasoning, (ICCBR 2001), held from 30 July-2 August 2001 in Vancouver, BC, Canada. [2] Naval Research Laboratory Technical Note AIC-01-003
Uncontrolled Keywords: case-based reasoning, CBR, Smartfire, fire field modelling
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/939

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