An adaptive Boolean automation to model circadian cycles.
We propose a Boolean cellular automation to model an artificial adaptive living organism in order to investigate the development of cyclic vital functions during a simulated evolutionary process. The organism is endowed with a basic architecture consisting of several sensor (input), motor (output) and processing Boolean gates whose connectivity pattern is adapted with a genetic algorithm. Cyclic searching behaviors develop that are tuned to the spatial distribution of "food". Under additional assumptions we also find that internal pacemakers can develop to adapt plastically to the alternance of "light" an "darkness". These pacemakers coexist with a "free running" regime in which the circadian cycles persist and even in the absence of external periodic stimuli.
Perazzo
R P
RP
Centro de Estudios Avanzados, Univ. de Buenos Aires, Argentina.
Schuschny
A
A
D000222:Adaptation, Physiological; D000465:Algorithms; D000818:Animals; D002940:Circadian Rhythm; D003198:Computer Simulation; D008954:Models, Biological; D011337:Probability Learning