Towards a Cyber-physical Systems Resilience Approach based on Artificial Emotions and Multi-agent Systems

Eskandar Kouicem (1) , Clément Raievsky (1) , Michel Occello (1)

1 LCIS - Laboratoire de Conception et d'Intégration des Systèmes

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.

Mots clés: Artificial Emotions; Cyber-physical Systems; Resilience; Distributed Systems

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]

Eskandar Kouicem, Clément Raievsky, Michel Occello. Towards a Cyber-physical Systems Resilience Approach based on Artificial Emotions and Multi-agent Systems. The 12th International Conference on Agents and Artificial Intelligence (ICAART 2020), Feb 2020, Valetta, Malta. pp.327-334. ⟨hal-02495487⟩