1. CH751 인공지능특강 Artificial Life: Basics and Applications 2003 년도 제 1 학기

2. 강의진 소개 4 담당 교수 – 조성배 ( 공대 C515;  2123-2720; sbcho@cs.yonsei.ac.kr) 4 웹 페이지 : http://sclab.yonsei.ac.kr/Courses/03TAI 4 강의 시간 – 화 3, 목 3, 4 (C520) 4 면담 시간 – 월 5, 6, 7 4 담당 조교 – 김경중

3. 인공생명 4 Complex adaptive systems (J. Holland, 1995) –Adaptation gives rise to a kind of complexity that greatly hinders our attempts to solve some of the most important problems currently posed by our world 4 Artificial life technology –Create man-made systems with the advantageous capabilities, such as autonomy, adaptation, evolution, self- replication, and self-repairing, which living systems have

4. 인공생명 : 정의와 목적 4 Motivation: What is life ? 4 Goal: To find mechanism of evolutionary process for automatic design and creation of artifacts Analysis Global Control Static Modeling Analysis Global Control Static Modeling Synthesis Local Control Dynamic Modeling Synthesis Local Control Dynamic Modeling

5. 인공생명 : 연구 조직도 Artificial Ecology Game-theoretic Approach Learning-theoretic Approach (Autonomous Intelligence) Genetic Algorithm (Parallel Distributed Learning) Developmental Algorithm Cellular Automata L-System Self-repairing Chaos and Fractal (Microscopic Self-organization) Organization al model Neural Networks Immune System Hormone System Developmental model Enzyme Gene Self- organization Emergence of Life-like Behaviors

6. 4 Textbook –Paper Collections in Artificial Life, 2003 4 References –C.G. Langton, ed., Artificial Life, Santa Fe Institute Studies in the Sciences of Complexity, vol. 6, Addison-Wesley, 1989 –S. Levy, Artificial Life, Pantheon, 1992 –Santa Fe site: http://www.santafe.edu/ 수업 교재

7. Evaluation Criteria 4 Evaluation Criteria –Term Project (written report & oral presentation): 40% –Mid and Final Exams: 30% –Homework: 20% –Course Participation: 10% 4 Term Project (Oral presentation is required) : –Theoretical Issue (analysis, experiment, simulation) : Originality –Interesting Programming (Game, Demo, etc) : Performance –Survey : Completeness

8. Course Schedule 1. 3/4, 3/6 : 과목소개 및 개요 2. 3/11, 3/13 : 기초 -1 ( 인공생명 연구개요 및 이슈 ) 3. 3/18, 3/20 : 기초 -2 (Evolutionary Algorithm) 4. 3/25, 3/27 : 기초 -3 (Cellular Automata) 5. 4/1, 4/3 : 응용 -1 (Art & Design) 6. 4/8, 4/10 : 응용 -2 (Graphics) 7. 4/15, 4/17 : 응용 -3 (Entertainment) 8. 4/22 : 중간시험 9. 4/29, 5/1 : 응용 -4 (Robotics) 10. 5/10 : 프로젝트 제안서 발표 11. 5/13, 5/15 : 응용 -5 (Economics) 12. 5/20, 5/22 : 응용 -6 (Security) 13. 5/27, 5/29 : 응용 -7 (Medicine) 14. 6/3, 6/5 : 응용 -8 (Electronics) 15. 6/14 : 프로젝트 결과 발표 16. 6/17 : 기말시험 22 + 11 papers!

9. List of Papers 1. Introduction - C.G. Langton, ed., Introduction (Overview of AI)