Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Post-mortem analysis of emergent behavior in complex simulation models|
|Citation:||Proceedings of 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2013, 2013 / pp.241-251|
|Conference Name:||ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (2013 : Montreal, QC)|
|Claudia Szabo, Yong Meng Teo|
|Abstract:||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.|
|Keywords:||Emergent behavior; emergence; simulation; reconstructability analysis|
|Rights:||Copyright 2013 ACM|
|Appears in Collections:||Computer Science publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.