This research focuses on designing affective roles in agent-based social simulation (ABSS) focused on ethology. Synthetic agents are addressed as autonomous, intentional software entities capable of managing primate-like (hierarchical) social relationships in small-scale societies. The critique involves discussion of potential affective roles in socio-cognitive agent architectures, both in terms of individual action-selection and group organisation. With the diversity of social and emotional accounts, primate-like ABSS is put forward with individual behaviour related not only to reactivity or focused on function-optimisation. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Anjos, P. L. D., Aylett, R., & Cawsey, A. (2007). Affective adaptation of synthetic social behaviour. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4738 LNCS, pp. 434–439). https://doi.org/10.1007/978-3-540-74889-2_38
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