Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The synchronization of periodic routing messages
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
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
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
Specifying, detecting and analysing emergent behaviours in multi-level agent-based simulations
Proceedings of the 2007 Summer Computer Simulation Conference
CODES: An Integrated Approach to Composable Modeling and Simulation
ANSS-41 '08 Proceedings of the 41st Annual Simulation Symposium (anss-41 2008)
Taxonomy for the modeling and simulation of emergent behavior systems
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Applying causal inference to understand emergent behavior
Proceedings of the 40th Conference on Winter Simulation
An integrated approach for the validation of emergence in component-based simulation models
Proceedings of the Winter Simulation Conference
Interaction metric of emergent behaviors in agent-based simulation
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Analyzing and validating emergent behavior in component-based models is increasingly challenging as models grow in size and complexity. Despite increasing research interest, there is a lack of automated, formalized approaches to identify emergent behavior and its causes. As part of our integrated framework for understanding emergent behavior, we propose a post-mortem emergence analysis approach that identifies the causes of emergent behavior in terms of properties of the composed model and properties of the individual model components, and their interactions. In this paper, we detail the use of reconstructability analysis for post-mortem analysis of known emergent behavior. The two-step process first identifies model components that are most likely to have caused emergent behavior, and then analyzes their interaction. Our case study using small and large examples demonstrates the applicability of our approach.