Systems resilience: a challenge problem for dynamic constraint-based agent systems

  • Authors:
  • Nicolas Schwind;Tenda Okimoto;Katsumi Inoue;Hei Chan;Tony Ribeiro;Kazuhiro Minami;Hiroshi Maruyama

  • Affiliations:
  • National Institute of Informatics, Tokyo, Japan;Transdisciplinary Research Integration Center, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;Transdisciplinary Research Integration Center, Tokyo, Japan;The Graduate University for Advanced Studies, Tokyo, Japan;Transdisciplinary Research Integration Center, Tokyo, Japan;Institute of Statistical Mathematics, Tokyo, Japan

  • Venue:
  • Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
  • Year:
  • 2013

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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 constraint-based agent model called SR-model, whose resilience can be evaluated through a range of properties.