Study of Skinner automaton implemented on tracking targets

Author

Xuan Wu ; Xiaogang Ruan ; Ruoyan Wei ; Xiaoping Zhang ; Sie, Ouattara

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol. Beijing, Beijing, China

fYear

2014

Firstpage

167

Lastpage

171

Abstract

In this paper we present a new use of a new kind of stochastic learning automaton called a Skinner automaton as a psychological model to formalize the theory of opérant conditioning. The animal opérant learning is identified with a thermodynamic process, and a so-called Skinner algorithm from Monte Carlo method and Metropolis algorithm as well as simulated annealing is derived. In this paper, the Skinner automaton is implemented on tracking a target to show its wide usage.

Keywords

Monte Carlo methods; automata theory; biomimetics; learning systems; mobile robots; simulated annealing; stochastic systems; target tracking; thermodynamics; Metropolis algorithm; Monte Carlo method; Skinner automaton; animal operant learning; operant conditioning; psychological model; simulated annealing; stochastic learning automaton; target tracking; thermodynamic process; Animals; Autonomous agents; Learning automata; Simulated annealing; Target tracking; Thermodynamics; Skinner automaton; learning automaton; machine learning; operant conditioning;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International

Print_ISBN

978-1-4799-4420-0

Type

conf

DOI

10.1109/ITAIC.2014.7065028

Filename

7065028