제 2 주. 인공생명의 개요 Research into models and algorithms of artificial life H. Jiyang, H. Haiying and F. Yongzhe, Artificial Intelligence in Engineering, vol. 10, pp , 1996 학습목표 인공생명의 개요, 방법, CA 의 응용 예 등에 대한 간략한 이해
개요 4 인공생명 (Langton, 1987) – 정의 : Man-made life system whose characteristic behaviors include self-reproduction, self-organization, evolution, etc – 연구자 : Computer scientists, microbiologists, physicists, chemists, mathematicians, evolutionary theorists, etc – 참여분야 : AI, intelligent robotics, chaos, fractals, morphology, etc – 목표 : generating creatures that look and act very much like living organisms 4 내용 –Methodologies and algorithms –A-life with Cellular Automata –Application to metal crystallization and computer art
인공생명의 방법론 4 핵심 모델 –Self-reproduction and evolution procedure –Cellular automata, genetic algorithms, Lindenmayer systems, self- organization, etc 4 응용문제 –Phenomena of human society and economics complexity –Ecosystem (under a simple law) –Regular patterns of colonial behaviors and applications –Intelligent behavior in practical environments –Bionic manufacturing systems flexible machinery –A-life aesthetics with CA and GA graphics
Cellular Automata 4 1-D CA 4 2-D CA 4 Computational model –Wolfram’s theory
정리 4 A-life is a new way of doing science, not only by theoretical analysis and experiments but also by computer simulation 4 A-life research has transformed our understanding of evolution, the origins of life, and the essential dynamics of natural phenomena, enabling us to move beyond ‘life as we know it’ to ‘life as it could be’. In this context the computer is not merely a tool but a breeding ground for the research and development of science 4 Utilizing the force of evaluation will enable us to solve complex engineering problems and employ natural selection to train molecules to fight disease viruses Artificial evolution and natural selection will enable us to solve the most complex problems of science and engineering
Homework #1 4 인공생명에 기반한 서로 다른 인공 생태계 시뮬레이터에 대하여 조사하 라. 4 마감일 : 3/18