Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Dealing with complexity: exploratory analysis enabled by multiresolultion, multiperspective modeling
Proceedings of the 32nd conference on Winter simulation
Simulation for the Social Scientist
Simulation for the Social Scientist
Theory of Modeling and Simulation
Theory of Modeling and Simulation
A recursive random search algorithm for large-scale network parameter configuration
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Using Abstraction in the Verification of Simulation Coercion
Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
A Case Study in Understanding OSPF and BGP Interactions Using Efficient Experiment Design
Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
Using flexible points in a developing simulation of selective dissolution in alloys
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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
The ethics of designing artificial agents
Ethics and Information Technology
Applying causal inference to understand emergent behavior
Proceedings of the 40th Conference on Winter Simulation
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Investigating unexpected outcomes through the application of statistical debuggers
Proceedings of the Winter Simulation Conference
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Understanding emergent behavior(s) exhibited in simulations poses an interesting challenge. Emergence can represent a valid behavior arising from seemingly unrelated phenomena, or it can reflect an error in a model or its implementation. We propose a new method for gathering insight into emergent behavior in simulations using the model adaptation technique, COERCE. COERCE allows a user to efficiently adapt a model to meet new requirements and can be employed to explore emergent behavior exhibited in a simulation. A subject matter expert (SME) can coerce a simulation to gather insight into characteristics of the emergent behavior as the simulated phenomenon is driven toward conditions of interest.