Abstract
We propose a model of cognitive process allowing virtual agents to exhibit anticipatory abilities. With user experiments, we show that this mechanism brings about an improvement in the efficiency of the behavior generated, and check that external observers are able to perceive it. We also confirm that this improvement in efficiency leads, up to a point, to an improvement in believability as judged by human observers. Beyond this level of efficiency, believability reaches a plateau.
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Pezzulo, G., Butz, M.V., Castelfranchi, C., Falcone, R. (eds.): The Challenge of Anticipation. LNCS (LNAI), vol. 5225. Springer, Heidelberg (2008)
de Sevin, E., Reynaud, Q., Corruble, V.: FlexMex: Flexible Multi-Expert Meta-Architecture for Virtual Agents. In: 1st Conf. on Advances in Cognitive Systems (2012)
Bates, J.: The role of emotion in believable agents. Communications of the ACM 37(7), 122–125 (1994)
Wooldridge, M., Jennings, N.: Agent theories, architectures, and languages: a survey. Intelligent agents (1995)
Davidsson, P., Astor, E., Ekdahl, B.: A framework for autonomous agents based on the concept of anticipatory systems. In: Cybernetics and Systems (1994)
Reynaud, Q., Corruble, V.: Un mécanisme de composition de comportements pour agents virtuels. In: 21èmes Journées Francophones sur les Systèmes Multi-Agents, Lille (2013)
de Sevin, E., Thalmann, D.: A motivational model of action selection for virtual humans. In: Computer Graphics International, pp. 213–220 (2005)
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Reynaud, Q., Donnart, JY., Corruble, V. (2014). Evaluating the Impact of Anticipation on the Efficiency and Believability of Virtual Agents. In: Bickmore, T., Marsella, S., Sidner, C. (eds) Intelligent Virtual Agents. IVA 2014. Lecture Notes in Computer Science(), vol 8637. Springer, Cham. https://doi.org/10.1007/978-3-319-09767-1_47
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DOI: https://doi.org/10.1007/978-3-319-09767-1_47
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09766-4
Online ISBN: 978-3-319-09767-1
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