AI's Role in Control of Systems:
Structural and Behavioral Knowledge
Abstract
This paper surveys the role of Artificial Intelligence techniques in the control
of real systems. A broad view of the control problem is taken which includes
aspects such as long term planning, system management, fault diagnosis, user
interfacing, etc. Within this scope, we identify opportunities for research
combining AI and simulation methodologies including: comprehensive frameworks
for knowledge representation, knowledge based automated model synthesis and
system design, and combining qualitative and conventional systems modelling for
multilevel control.
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Last modified: January 13, 2006 -- © François Cellier