The concept of resilience is popular and studied in different domains like human and social sciences (psychology, psychiatry, sociology etc.) and recently in cognitive science, biology, ecology and computer science. The objective of this article is to present our research that aims to incorporate knowledge from human and social sciences in computer science to solve cyber-physical systems resilience problems. For us humans, emotions are considered as an important process in responding to unanticipated events, for that, emotions are important for our resilience. Our work aims to inspire from emotional processes to create an agent model that increases the resilience of cyber-physical systems. This agent model will integrate individual and collective processes. In addition, one of our principal hypotheses in our research is that the multi-agent paradigm is suitable to integrate emotion-like processes into cyber-physical systems.
The cyber-physical systems deployment takes up an ever-increasing number of fields of application. The variety of platforms used for implementing cyber-physical systems and the dynamic interconnection of their components make the resilience issue of these systems very important. Our work aims to use the knowledge from human and social sciences, particularly to inspire from the emotional processes for creating an agent architecture that increases the cyber-physical systems resilience. Emotional inspiration occurs in the individual decision-making processes as well as in the social coordination mechanisms. In addition, one of the principal hypotheses in our research is that the multi-agent paradigm is suitable for integrating emotional processes into cyber-physical systems.
Nowadays, cyber-physical systems (CPS) are becoming ubiquitous in various application domains. The variety of design and implementation methodologies utilized for cyber-physical systems, as well as the dynamic interaction of its components, make the resilience of these systems a major challenge. We aim to increase the resilience of these systems in a decentralized way by leveraging knowledge of the social sciences and humanities (SSH) and especially emotional processes. Both individual decision-making processes and social coordinating mechanisms are based on emotional inspiration. Our hypotheses and studies on resilience approaches, cyber-physical systems and emotional processes allowed us to choose the multi-agent paradigm. In this paper, we present the results of our research on resilience, which includes an emotion-inspired anomaly detection approach for improving CPS resilience. This approach is integrated into an agent architecture, compared to the literature, and validated through the development of proof-of-concept scenarios. The experimental results prove its advantages in terms of resilience properties.
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