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

Volume

3

fYear

1998

fDate

16-20 May 1998

Firstpage

2363

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on

Conference_Location

Leuven

ISSN

1050-4729

Print_ISBN

0-7803-4300-X

Type

conf

DOI

10.1109/ROBOT.1998.680677

Filename

680677