Survivability of MAS Through Collective Intelligence

Abstract

Due to the continuous growing spread of the usage of cyber-physical systems in the daily life of humanity, systems with resilience properties enhanced or enforced are needed to fulfill that accomplishment. Within those systems are the Ambient Assisted Living Systems (AALs) which given their nature, survivability feature must be insured. In this work, it is briefly outlined a scheme where a survivable outcome can be reached as a result of the interaction of the variety of agents interacting in a Multi-agent system (MAS) setting such as HARMS.