Formalization of resilience for constraint-based dynamic systems-Reference-Cited by-同舟云学术

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Formalization of resilience for constraint-based dynamic systems

Published:2015-12-09 Issue:1 Volume:2 Page:17-35
ISSN:2199-4668
Container-title:Journal of Reliable Intelligent Environments
language:en
Short-container-title:J Reliable Intell Environ

Author:

Schwind Nicolas,Magnin Morgan,Inoue Katsumi,Okimoto Tenda,Sato Taisuke,Minami Kazuhiro,Maruyama Hiroshi

Publisher

Springer Science and Business Media LLC

Subject

Renewable Energy, Sustainability and the Environment,Artificial Intelligence,Computer Science Applications,Computer Networks and Communications

Link

http://link.springer.com/content/pdf/10.1007/s40860-015-0016-0.pdf

Reference52 articles.

1. Ali S, Koenig S, Tambe M (2005) Preprocessing techniques for accelerating the DCOP algorithm ADOPT. In: Proceedings of the 4th international conference on autonomous agents and multi-agent systems (AAMAS’05), pp 1041–1048

2. Apt K (2003) Principles of constraint programming. Cambridge University Press, New York

3. Augusto JC, Callaghan V, Cook D, Kameas A, Satoh I (2013) Intelligent environments: a manifesto. Hum-Centric Comput Inf Sci 3(2):1–18

4. Ballarini P, Miller A (2006) Model checking medium access control for sensor networks. In: Proceedings of the 2nd international symposium on leveraging applications of formal methods (ISoLA’06), pp 256–262

5. Baral C, Eiter T, Bjäreland M, Nakamura M (2008) Maintenance goals of agents in a dynamic environment: formulation and policy construction. Artif Intell 172(12–13):1429–1469

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2. Resilient Team Formation with Stabilisability of Agent Networks for Task Allocation;ACM Transactions on Autonomous and Adaptive Systems;2021-09-30

3. Assessing the resilience of stochastic dynamic systems under partial observability;PLOS ONE;2018-08-23

4. Analyzing resilience properties in oscillatory biological systems using parametric model checking;Biosystems;2016-11

5. Computational Framework of Resilience;Urban Resilience;2016

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