Artificial Emotions for Distributed Cyber-physical Systems Resilience
Eskandar Kouicem, Clâ€“ement Ranevsky, Michel Occello
Information Security Education Journal, Vol. 6, No. 2, 2019.
DOI: https://doi.org/10.6025/isej/2019/6/2/59-67
Link: http://www.dline.info/isej/fulltext/v6n2/isejv6n2_3.pdf
Abstract:
The concept of system resilience is important and popular in different domains like psychology, psychiatry,
sociology, and more recently in cognitive science, biological disciplines, ecology and computer science. The main objective of
this paper is to present a research avenue exploring the applicability of knowledge from those domains to solve resilience
problems in cyber-physical systems. Emotions have been identified as an important process to cope with unexpected events and
is therefore crucial for resilience. Our work is thus aimed at utilizing emotion-like processes in cyber-physical systems to
improve their resilience, at individual and collective levels. Furthermore, one of our main assumptions is that the multi-agent
paradigm is particularly well suited to embed such emotion-like processes in this type of systems.