Elsa Schweiss

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This paper presents a new architecture for simulating virtual humans in complex urban environments. Our approach is based on the integration of six modules. Four key modules are used in order to: manage environmental data, simulate human crowds, control interactions between virtual humans and objects, and generate tasks based on a rule-based behavioural(More)
This paper describes a Client/Server architecture to combine the control of human agents performing “intelligent actions” (guided by a Rule-Based Behavior System – RBBS) with the management of autonomous crowds which perform pre-programmed actions. Our main goal being ability to model crowds formed by a large number of agents (e.g. 1000), we have used(More)
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