Performance improvement of intelligent machines through feedback

Author

Lima, Pedro ; Saridis, George

Author_Institution

Inst. de Sistemas e Robotica, Inst. Superior Tecnico, Lisbon, Portugal

fYear

1995

fDate

27-29 Aug 1995

Firstpage

73

Lastpage

78

Abstract

This paper introduces an algorithm for performance improvement of intelligent machines based on a cost function recursively estimated from feedback. The interfaces between the three levels of the hierarchical intelligent controller (HIC) for the intelligent machine are modeled by a 2-stage hierarchical learning stochastic automaton (HLSA). The cost function used by the HLSA combines measures of reliability and computational cost, defined in conjunction. Novel contributions of the paper include an original hierarchical reinforcement learning scheme and a new cost function for intelligent machines. Results of simulations show the application of the methodology to an intelligent robotic system

Keywords

feedback; hierarchical systems; intelligent control; learning (artificial intelligence); recursive estimation; stochastic automata; 2-stage hierarchical learning stochastic automaton; cost function; feedback; hierarchical intelligent controller; hierarchical reinforcement learning scheme; intelligent machines; intelligent robotic system; Automatic control; Computational intelligence; Cost function; Feedback; Intelligent robots; Learning systems; Machine intelligence; Machine learning; Recursive estimation; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on

Conference_Location

Monterey, CA

ISSN

2158-9860

Print_ISBN

0-7803-2722-5

Type

conf

DOI

10.1109/ISIC.1995.525040

Filename

525040