Systems Resilience: A Challenge Problem for Dynamic Constraint-Based Agent Systems

Nicolas Schwind (National Institute of Informatics, Japan)

Abstract

Many researchers of different fields are interested in building resilient systems that can absorb shocks and recover from damages caused by unexpected large-scale events; however, no common agreement on the definition of resilience exists. In this paper, we set out to establish a new challenging research discipline that we call "systems resilience", which provides a set of unified design principles for building resilient systems. We define a dynamic constraintbased agent model called SR-model, whose resilience can be evaluated through a range of properties.