TY - GEN
T1 - Symbolic Context Model for Resilience Engineering
AU - Mitsuhashi, Daichi
AU - Kanno, Taro
AU - Inoue, Satoru
AU - Karikawa, Daisuke
AU - Nonose, Kohei
AU - Asatani, Kimitaka
AU - Furuta, Kazuo
N1 - Funding Information:
Acknowledgments. This work was partly supported by JSPS KAKENHI Grant Number 19H02384. We would like to thank Editage (www.editage.com) for English language editing.
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - Resilience can be defined as the ability of a system to adapt to changing contexts. To develop a better understanding of the concept of resilience and describe system resilience, it is more important to focus on a context’s characteristics than to discuss the definition of resilience itself. This study proposes a model to comprehend and describe a context’s characteristics, consisting of six a priori concepts: space, time, entity, event, state, and modality. Based on the model, this study also presents a way to formalize context. To demonstrate the model’s utility and partial validity, this paper provides examples of the reinterpretation and formalization of existing key concepts relating to human factors and resilience engineering based on the proposed model.
AB - Resilience can be defined as the ability of a system to adapt to changing contexts. To develop a better understanding of the concept of resilience and describe system resilience, it is more important to focus on a context’s characteristics than to discuss the definition of resilience itself. This study proposes a model to comprehend and describe a context’s characteristics, consisting of six a priori concepts: space, time, entity, event, state, and modality. Based on the model, this study also presents a way to formalize context. To demonstrate the model’s utility and partial validity, this paper provides examples of the reinterpretation and formalization of existing key concepts relating to human factors and resilience engineering based on the proposed model.
KW - Context model
KW - Epistemology
KW - Resilience engineering
KW - Safety-II
KW - Symbolic logic
UR - http://www.scopus.com/inward/record.url?scp=85123865221&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-80288-2_5
DO - 10.1007/978-3-030-80288-2_5
M3 - Conference contribution
AN - SCOPUS:85123865221
SN - 9783030802875
T3 - Lecture Notes in Networks and Systems
SP - 35
EP - 43
BT - Advances in Safety Management and Human Performance - Proceedings of the AHFE 2021 Virtual Conferences on Safety Management and Human Factors, and Human Error, Reliability, Resilience, and Performance, 2021
A2 - Arezes, Pedro M.
A2 - Boring, Ronald L.
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE International Conferences on Safety Management and Human Factors, and Human Error, Reliability, Resilience, and Performance, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -