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The synchronization of periodic routing messages
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Observations on the complexity of composable simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Emergence: From Chaos to Order
Emergence: From Chaos to Order
Evolving data into mining solutions for insights
Communications of the ACM - Evolving data mining into solutions for insights
On the Power of Labels in Transition Systems
CONCUR '01 Proceedings of the 12th International Conference on Concurrency Theory
Toward a formalization of emergence
Artificial Life
Emergent (mis)behavior vs. complex software systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
An exploration-based taxonomy for emergent behavior analysis in simulations
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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ANSS-41 '08 Proceedings of the 41st Annual Simulation Symposium (anss-41 2008)
Applying causal inference to understand emergent behavior
Proceedings of the 40th Conference on Winter Simulation
A time-based formalism for the validation of semantic composability
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PADS '12 Proceedings of the 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation
Interaction metric of emergent behaviors in agent-based simulation
Proceedings of the Winter Simulation Conference
Formalization of emergence in multi-agent systems
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
Post-mortem analysis of emergent behavior in complex simulation models
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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Emergent properties are becoming increasingly important as systems grow in size and complexity. Despite recent research interest in understanding emergent behavior, practical approaches remain a key challenge. This paper proposes an integrated approach for the identification of emergence with two perspectives. A post-mortem emergence analysis requires a-priori knowledge about emergence and can identify the causes of emergent behavior. In contrast, a live analysis, in which emergence is identified as it happens, does not require prior knowledge and relies on a more rigorous definition of individual model components in terms of what they achieve, rather than how. Our proposed approach integrates reconstructability analysis in the validation of emergence included in our proposed component-based model development life-cycle.