Title :
The crossover from "learning and evolution" to "evolution"
Author :
Yamasaki, Kazuko ; Sekiguchi, Masuteru
Author_Institution :
Tokyo Univ. of Inf. Sci., Chiba, Japan
Abstract :
Learning is the adaptation of the individual level in the life of the individual, and evolution is the adaptation of the population level in the creature´s history. In this paper, the authors consider the connection of the time scale of changes in the environment, the time scale of learning and the time scale of learning evolution
Keywords :
learning (artificial intelligence); environment changes time scale; learning evolution; learning time scale; population level; Environmental economics; Feature extraction; History; Microorganisms; Organisms; Planets; Postal services; Steady-state; Whales;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972445
