Level of Autonomy for Virtual Human Agents

نویسندگان

  • Soraia Raupp Musse
  • Marcelo Kallmann
  • Daniel Thalmann
چکیده

This paper proposes a paradigm for specification of virtual human agents’ level of autonomy. The idea we present in this paper aims at optimising the required complexity of agents in order to perform realistic simulations. The paradigm is based on the distribution of the required virtual human agent “intelligence” to other simulation entities like groups of agents, and objects.

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تاریخ انتشار 1999