DocumentCode :
2616919
Title :
An exploration-based taxonomy for emergent behavior analysis in simulations
Author :
Gore, Ross ; Reynolds, Paul F., Jr.
Author_Institution :
Univ. of Virginia Charlottesville, Charlottesville
fYear :
2007
fDate :
9-12 Dec. 2007
Firstpage :
1232
Lastpage :
1240
Abstract :
Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. We present a taxonomy, to be applied to emergent behaviors of unknown validity. Our goal is to facilitate the explanation process. Once a user identifies an emergent behavior as a certain type within our taxonomy, exploration can commence in a manner befitting that type. Exploration based on type supports narrowing of possibilities and suggests exploration methods, thus facilitating the exploration process. Ideally, a taxonomy would be robust, allowing reasonable variation in behavior type assignment without penalty in cost or correctness during the exploration process. The taxonomy we present is robust, comprehensive and suitable for use with our established emergent behavior exploration methods. In addition to the taxonomy, we present our design rationale, and a summary of results from a test application of our taxonomy.
Keywords :
behavioural sciences; design rationale; emergent behavior analysis; explanation process; exploration-based taxonomy; Analytical models; Computational modeling; Computer errors; Computer science; Feedback; Reproducibility of results; Research initiatives; Robustness; Taxonomy; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
Type :
conf
DOI :
10.1109/WSC.2007.4419726
Filename :
4419726
Link To Document :
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