Fuzzy Ensembles for Embedding Adaptive Behaviours in Semi-Autonomous Avatars in 3D Virtual Worlds

Semi-autonomous avatars should be both realistic and believable. The goal is to learn from and reproduce the behaviours of the user-controlled input to enable semi-autonomous avatars to plausibly interact with their human-controlled counterparts. A powerful tool for embedding autonomous behaviour is learning by imitation. Hence, in this paper an ensemble of fuzzy inference systems cluster the user input data to identify natural groupings within the data to describe the users movement and actions in a more abstract way. Multiple clustering algorithms are investigated along with a neuro-fuzzy classifier; and an ensemble of fuzzy systems are evaluated.

Childrens experiences of domestic violence and abuse: Siblings accounts of relational coping

This article explores how children see their relationships, particularly their sibling relationships, in families affected by domestic violence (DV) and how relationality emerges in their accounts as a resource to build an agentic sense of self. The ‘voice’ of children is largely absent from the DV literature, which typically portrays them as passive, damaged and relationally incompetent. Children’s own understandings of their relational worlds are often overlooked, and consequently, existing models of children’s social interactions give inadequate accounts of their meaning-making-in-context. Drawn from a larger study of children’s experiences of DV and abuse, this article uses two case studies of sibling relationships to explore young people’s use of relational resources, for coping with violence in the home. The article explores how relationality and coping intertwine in young people’s accounts and disrupts the taken-for-granted assumption that children’s ‘premature caring’ or ‘parentification’ is (only) pathological in children’s responses to DV. This has implications for understanding young people’s experiences in the present and supporting their capacity for relationship building in the future.