Abstract
Artificial agents that simulate aspects of human behavior are expected to behave much like a real human in a similar situation would. Human behavior however, is largely context-dependent. Ignoring the effect context can have on an agent’s behavior can hinder the quality and plausibility of agent’s behavior. In this paper, we present a context-driven approach to modeling plausible aspects of human behavior which focuses on endowing an agent with the ability to recognize and deal effectively with anticipated contextual changes.
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Wilson, C., Turner, R.M. (2017). Context and the Virtual Human. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_18
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DOI: https://doi.org/10.1007/978-3-319-57837-8_18
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