2018年第四期（总第二十八期）“钱学森国际杰出科学家系列讲座”将于5月30日在中科院自动化研究所举办。本期讲座邀请到美国密苏里科技大学Cihan H. Dagli教授作题为“Architecting Complex Adaptive Systems”的报告。未来的多层面系统将牵扯复杂的逻辑和推理，并有许多层次的推理，这些复杂的推理是通过连接的网络以及证明自我驱动的适应性组织而成。它们是为自主性设计，并表现出能够可视化的紧急行为。这些系统将影响制造业、国防、医疗、能源、交通、应急、农业和社会的各个领域。当前的任务是处理复杂问题，设计并且操作这些系统。设计复杂的自适应系统的挑战是创建一个有组织的复杂性系统，并且允许系统实现其目标。Cihan H. Dagli教授将在报告中讨论能够适应这些挑战的可行性方法。
Cihan H. Dagli教授是系统工程和工程管理学教授，也是计算机和电气工程学教授。他是美国密苏里科技大学系统工程研究生项目的创始人，也是智能工程系统实验室（SESL）的负责人。他从中东技术大学（Middle East Technical University）获得工业工程学学士和硕士学位，并获得英国伯明翰大学的应用运筹学博士学位。Cihan H. Dagli教授是国际系统工程协会（INCOSE）和工业工程师协会（IISE）的会士。他的研究方向是系统工程和系统架构、网络物理系统、深度学习、机器学习和计算智能。
一、报告主题
Architecting Complex Adaptive Systems
二、时间地点
时间：2018年5月30日 上午10:00-11:00
地址：北京中关村东路95号 智能化大厦三层 第三会议室
主持人：王飞跃 教授，复杂系统管理与控制国家重点实验室
三、报告摘要
Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement organized by web of connections and demonstrating self-driven adaptability. They are designed for autonomy and exhibiting emergent behavior that can be visualized. These systems will impact manufacturing industry, defense, healthcare, energy, transportation, emergency response, agriculture and society overall. Our quest continues to handle complexities, to design and operate these systems. The challenge in Complex Adaptive Systems design is to create an organized complexity that will allow a system to achieve its goals.
These complex adaptive systems have dynamically changing meta-architectures. Finding an optimal architecture for these systems is a multi-criteria decision making problem often involving many objectives in the order of 20 or more. This creates “Pareto Breakdown” which prevents ordinary multi-objective optimization approaches from effectively searching for an optimal solution; saturating the decision maker with large set of solutions that may not be representative for a compromise architecture selection from the solution space. Possible approaches that can be adapted in overcoming this difficulty in architecting cyber adaptive systems will be discussed.
四、报告嘉宾
Dr. Dagli is a Professor of Systems Engineering and Engineering Management and also a Professor Computer and Electrical Engineering. He is the founder of Missouri S&T’s Systems Engineering Graduate Program and the director of the Smart Engineering Systems Lab (SESL). He received B.S. and M.S. degrees in Industrial Engineering from the Middle East Technical University and a Ph.D. Applied Operations Research in Large Scale Systems Design and Operation from the University of Birmingham, United Kingdom, where from 1976 to 1979 he was a British Council Fellow. Dr. Dagli is a fellow of International Council of Systems Engineering INCOSE 2008 and Institute of Industrial Engineers IIE 2009.
Dr. Dagli joined Missouri S&T in 1988. His research interests are in systems engineering and systems architecting, cyber physical systems, deep learning, machine learning and computational intelligence. Dr. Dagli has been a PI, co-PI, or director of 56 research projects and grants from federal, state, industrial funding agencies. Dr. Dagli has published over 439 research publications, including 75 archival journal articles and edited (or co-edited) 31 books. His research publications have been cited on Google Scholar 3,257 times, with an h-index of 27 and i-index of 88. He was the dissertation advisor of 26 Engineering Management, one Computer Science and 7 Systems Engineering PhD students received their degree from S&T.
五、讲座背景
钱学森先生是世界著名科学家，空气动力学家，中国载人航天奠基人，中国科学院和中国工程院院士。中国两弹一星功勋奖章获得者，被誉为“中国航天之父”“中国导弹之父”“中国自动化控制之父”和“火箭之王”。是中国自动化学会第一、二任理事。为传承、发扬钱学森先生的伟大科学精神和学术思想方法，践行钱学森创新教育思想，为信息、自动化与智能科学以及系统工程领域的研究人员和专业技术人员提供了解领域前沿的窗口和学术交流的平台，中国自动化学会自2012年起，发起并主办“钱学森国际杰出科学家系列讲座”。
该讲座聘请国内外信息、自动化与智能科学以及系统工程领域的知名学者、教授、学科带头人等开设讲坛，就当前领域内的研究热点进行广泛的探索和交流，目前已经深入各高校、科研院所、企事业单位，成为学会会员熟悉领域前沿、开拓科研思路、分享科研成果、活跃科研气氛的重要平台。
中国自动化学会
