Abstract
This paper presents a multiagent framework designed to animate groups of synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses on the BDI agents and the social model integrated to provide socially acceptable decisions. The social model provides rationality, to control the global coordination of the group, and sociability, to simulate relations (e.g. friends) and reciprocity between members. The multiagent based framework has been tested successfully in dynamic environments while simulating a virtual university bar, where several types of agents (groups of waiters and customers) can interact and finally display complex social behaviors (e.g. task passing, reciprocity, planned meetings).
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© 2007 Springer-Verlag Berlin Heidelberg
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Grimaldo, F., Lozano, M., Barber, F. (2007). A Multiagent Framework to Animate Socially Intelligent Agents. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_4
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DOI: https://doi.org/10.1007/978-3-540-74972-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74971-4
Online ISBN: 978-3-540-74972-1
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