Abstract
AbstractThe concept of resilience is commonly used to represent “an ability to adapt to a changing environment and to survive flexibly despite facing difficulties.” This definition of resilience emphasized its aspects of unpredictable responsiveness to external disturbances as well as self-organized phenomena, which seemed to be close to the definition of complex adaptive systems. This article summarizes the technical challenges to consider the implementation of a concept of resilience into systems from a variety of perspectives. Then, challenges to tackle with the resilience to variabilities in production plans, in work quality, in empirical knowledge, in human-automation systems, and in organizations are presented.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Reference27 articles.
1. Holling CS (1973) Resilience and stability of ecological systems. Annu Rev Ecol Syst 4:1–23
2. CAO (2015) Report on the 5th science and technology basic plan, https://www8.cao.go.jp/cstp/kihonkeikaku/5basicplan_en.pdf. Accessed 30 June 2019
3. Selberg S, Austin M (2008) Toward an evolutionary system of systems architecture. 2010-07-15. Archived by WebCite® at https://www.webcitation.org/5rEnx8BLfSoS. Accessed on 15 May, 2010.
4. Hoffman RR, Militello LG (2008) Sociological and ethnographic perspectives, perspectives on cognitive task analysis: historical origins and modern communities of practice. Taylor & Francis, London, pp 251–302
5. Eason K (2008) Sociotechnical systems theory in the 21st century: another half-filled glass? In: Graves D (Ed.) Sense in social science: a collection of essays in honour of Dr. Lisl Klein, pp. 123–134
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献