Knowledge implementation - structures of intelligent control systems
Results of research concerning the definitions and structure of intelligent control systems are outlined. Intelligent control systems are founded on the principle of precision with decreasing intelligence. This principle establishes a hierarchy in the distribution of intelligence in an intelligent control system and simply says that where intelligence is high, precision is less required, and vice versa. The resulting multilevel structure and its implementation, based on ideas from knowledge systems, are presented. Probabilistic models to express the uncertainty of reasoning, planning decision making at the organization level, and the control activities at the execution level entropies are used as measures of the execution of various commands by the intelligent machine, and they serve for optimal decision making. This method provides an efficient approach to implement autonomous intelligent control systems suitable for the demanding needs of modern industry, space exploration, nuclear handling, and medicine. 19 references.
- Research Organization:
- Rensselaer Polytechnic Institute, Troy, NY (USA)
- OSTI ID:
- 6274468
- Journal Information:
- J. Robot. Syst.; (United States), Vol. 5
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
CONTROL SYSTEMS
ARTIFICIAL INTELLIGENCE
DECISION MAKING
ENTROPY
EXPERT SYSTEMS
KNOWLEDGE BASE
OPTIMIZATION
PLANNING
RESEARCH PROGRAMS
USES
PHYSICAL PROPERTIES
THERMODYNAMIC PROPERTIES
990220* - Computers
Computerized Models
& Computer Programs- (1987-1989)