Abstract
Many modern virtual reality reconstructions of historical sites focus on buildings and artefacts, but often ignore the issue of portraying everyday life of the people who populated the reconstructed area. This is mainly due to high costs and complexity of populating such sites with virtual agents. Here we show how combining needs modelling and planning can help to automate the development of large agent societies.
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References
Trescak, T., Bogdanovych, A., Simoff, S., Rodriguez, I.: Generating diverse ethnic groups with genetic algorithms. In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST 2012, pp. 1–8. ACM, New York (2012)
Hendler, J.A., Tate, A., Drummond, M.: AI planning: systems and techniques. AI Mag. 11(2), 61 (1990)
Trescak, T., Bogdanovych, A., Simoff, S.: Populating virtual cities with diverse physiology driven crowds of intelligent agents. In: Proceedings of the Social Simulation Conference (SSC 2014) (2014)
Maslow, A.H.: A theory of human motivation. Psychol. Rev. 50(4), 370–396 (1943)
Alderfer, C.P.: An empirical test of a new theory of human needs. Organ. Behav. Hum. Perform. 4(2), 142–175 (1969)
Reiss, S., Havercamp, S.M.: Motivation in developmental context: a new method for studying self-actualization. Humanistic Psychol. 45(1), 41–53 (2005)
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Bogdanovych, A., Trescak, T. (2016). Generating Needs, Goals and Plans for Virtual Agents in Social Simulations. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S., Leuski, A. (eds) Intelligent Virtual Agents. IVA 2016. Lecture Notes in Computer Science(), vol 10011. Springer, Cham. https://doi.org/10.1007/978-3-319-47665-0_41
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DOI: https://doi.org/10.1007/978-3-319-47665-0_41
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