Abstract
This article presents the development of a real-time intelligent control environment: DICE. Main emphasis is given to the requirements of knowledge-based systems to be realized in a real-time system. This results in a multi-task environment with several expert system kernels running in parallel. A blackboard mechanism is used for intertask communication. A kernel of the system uses demons to control other expert system kernels. DICE offers both boolean and multiple valued logic reasoning in separate expert system modules. As a worked out example an adaptive fuzzy logic based controller is described. Finally attention is paid to a general intelligent control scheme. Shown is that DICE is very well suited for the tasks involved in such a strategy. The role of neural networks in this configuration is also treated. The article ends with some conclusions about the use of DICE as a framework for intelligent control.
Published Version
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