Integrating General Expert Knowledge and Specific Experimental
Knowledge in WWTP
Authors
Departament de Llenguatges i Sistemes Informàtics
Universitat Politècnica de Catalunya
Edifici C5-Campus Nord
C/ Jordi Girona 1-3
08034 Barcelona, Catalonia, Spain
Laboratori d'Enginyeria Química i Ambiental.
Facultat de Ciències
Universitat de Girona
Campus de Montilivi
17071 Girona, Catalonia, Spain
Abstract
The
development of an architecture able to
manage efficiently the different elements
of the process (integrated
architecture),
to learn from past experience (specific
experimental knowledge) and to acquire
the domain knowledge (general expert knowledge)
are the key problems in real-time control AI systems design.
These problems
increase when the process belongs
to an ill-structured
domain
and it is composed
by several complex operational units.
Therefore, an integrated AI methodology
which combines both kind of
knowledge is proposed. This multi- paradigm
reasoning provides the target system
a wastewater treatment plant (WWTP)
with some advantages over other
approaches applied to real world systems.
Keywords:
Classification. Concept Formation. Knowledge-Based Systems. Wastewater treatment. Environmental Engineering.
Citation:
M. Sànchez, U. Cortés, I. R-Roda, M. Poch "Integrating General Expert Knowledge and
Specific Experimental Knwoledge in WWPT". IJCAI-95, workshop on Artificial
Intelligence and the Environment. pp 75-81. Montreal. Canada
Postscript
You may want a postcript version of the article:
Integrating General Expert Knowledge and Specific Experimental
Knowledge in WWTP
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