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. Copyright © 2013, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
CITATION STYLE
Schwind, N., Okimoto, T., Inoue, K., Chan, H., Ribeiro, T., Minami, K., & Maruyama, H. (2013). Systems resilience: A challenge problem for dynamic constraint-based agent systems. In 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 (Vol. 2, pp. 785–788). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
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