Title :
A model for the organization level of intelligent machines
Author :
Varvatsoulakis, M.N. ; Saridis, G. ; Paraskevopoulos, P.N.
Author_Institution :
Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece
Abstract :
A model for the organization level of a class of intelligent machines suitable for industrial applications is established. This model based on the theory of hierarchically intelligent control systems developed by Saridis (1983) combines the powerful high level decision making with advanced mathematical modeling and synthesis techniques of system theory and methods of dealing with imprecise or incomplete environment information
Keywords :
Boltzmann machines; hierarchical systems; industrial control; intelligent control; learning (artificial intelligence); probability; advanced mathematical modeling; hierarchically intelligent control systems; high level decision making; imprecise environment information; incomplete environment information; intelligent machines; organization level; Artificial intelligence; Automatic control; Control systems; Decision making; Entropy; Intelligent control; Intelligent robots; Machine intelligence; Mathematical model; Power system modeling;
Conference_Titel :
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location :
Leuven
Print_ISBN :
0-7803-4300-X
DOI :
10.1109/ROBOT.1998.680677
