Agent-Based Decision Support Framework for Water Supply
Infrastructure Rehabilitation and Development
D.N.Davis
Department of Computer Science,
University of Hull,
Kingston-upon-Hull, HU6 7RX, UK.
D.N.Davis@hull.ac.uk
Fax: +44 (0) 1482 466666
International Journal Computers,
Environment and Urban Systems, 23, 2000 (In Press)
Abstract
The broad platform of our research addresses the possibilities offered
by the concept of complete agents as a theoretical basis for designing
computational architectures of use in modelling intelligent behaviours.
One area that we are investigating is the application of the computational
metaphor of agents to decision support systems. Here we present the current
state of our progress in developing a framework of use in making decisions
about water supply infrastructure rehabilitation and development. The framework
currently supports database reclamation, data warehousing, water mains
pipe-failure prediction and strategic overview information based on customer
complaints and chemical analysis of supplied water. Further aspects of
the framework have been developed for other problem domains. This ongoing
research draws on methodologies from work on agents, knowledge engineering,
data-mining and knowledge discovery.