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Creating driving behavior for artificial agents in a social augmented micro-world
2012
International Workshop on Concurrency, Specification and Programming
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This paper presents first results on the implementation of driving agents in the socially augmented micro-world (SAM). Time series analysis are used for comparing the agent behavior with human behavior. We will discuss the results from time series analysis/clustering and compare them with classifications done by hand. Further approaches for future research are presented and discussed.
dblp:conf/csp/SchneiderB12
fatcat:6tl54ui7ofds5n2352t7cwmlgy