Artificial life and evolutionary computing in machine perception
Jean-Claude Heudin · 2002
This paper introduces the foundational principles of artificial life and describes two complementary classifications of related research programs. Then, it gives an organizational definition of "minimal" life which points out some required features for synthesizing artificial systems with lifelike behaviors. After suggesting interactions between artificial life and machine perception, it emphasizes three promising research trends: evolvable algorithms for perception, collective perception and intelligence, evolvable hardware devices and sensors.