Title :
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
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;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065028
