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Knowledge-Based Real-Time Management of Risk Processes

by P. E. O'Connell, Univ of Newcastle upon Tyne, United Kingdom,
J. A. Cunge, Univ of Newcastle upon Tyne, United Kingdom,
M. Erlick, Univ of Newcastle upon Tyne, United Kingdom,
P. Bomel, Univ of Newcastle upon Tyne, United Kingdom,



Document Type: Proceeding Paper

Part of: Computerized Decision Support Systems for Water Managers

Abstract:

A project proposed to the Commission of European Communities within the framework of the European Strategic Program in Research and Information Technology (ESPRIT) aims at the development of a prototype of an intelligent knowledge-based system (IKBS) for the management of processes evolving in time which involve risks and/or uncertainties. It concerns processes which evolve sufficiently slowly to be influenced by human actions decided on the basis of monitoring, simulation or forecasting. New qualitative simulation and knowledge engineering artificial intelligence (AI) tools will be developed. To verify the consistency of the general system architecture and the set of detailed technical specifications with the overall project, a support expert system based on a commercial general purpose tool will be implemented at an early stage of the project. The prototype will be a flood warning/management system for the City of Florence (Italy). The IKBS fault-tolerant software environment developed through the project will be generic to a large spectrum of risk management systems.

Subject Headings: Risk management | Artificial intelligence (AI) | Expert systems | Knowledge-based systems | Systems management | Floods | Uncertainty principles | Italy | Europe

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