A CRISIS MANAGEMENT APPROACH TO MISSION SURVIVABILITY IN COMPUTATIONAL MULTI-AGENT SYSTEMS

In this paper we present a biologically-inspired approach for mission survivability (considered as the capability of fulfilling a task such as computation) that allows the system to be aware of the possible threats or crises that may arise. This approach uses the notion of resources used by living organisms to control their populations. We present the concept of energetic selection in agent-based evolutionary systems as well as the means to manipulate the configuration of the computation according to the crises or userʹs specific demands.