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.

Killing animals: sociology, species relations and institutionalized violence

Influential voices have argued for a sociology which acknowledges the way we are co-constituted with a range of non-human species as part of the condition of life on this planet. Despite this, sociology has generally retained a conception of the social that is centred on the human. This paper argues for the inclusion of non-human animals in sociological agendas, focusing on the emerging field of the sociology of violence. It examines the institutions and processes through which non-human animals are subjected to different forms of violence, most notably, mass killing.The practice of killing animals is routine,normative,institutionalized and globalized.The scale of killing is historically unprecedented and the numbers killed are enormous. The paper argues that this killing of non-humans raises questions around inequal- ities and intersectionality, human relations with other species, the embedding of violence in everyday practices and links between micro and macro analyses. These are questions with which the new sociology of violence might engage.

Blending adaptive governance and institutional theory to explore urban resilience and sustainability strategies in the Rome Metropolitan Area, Italy

Adaptive governance is an emerging theory in natural resource management. This paper addresses a gap in the literature by exploring the potential of adaptive governance for delivering resilience and sustainability in the urban context. We explore emerging challenges to transitioning to urban resilience and sustainability: bringing together multiple scales and institutions; facilitating a social-ecological-systems approach and; embedding social and environmental equity into visions of urban sustainability and resilience. Current approaches to adaptive governance could be helpful for addressing these first two challenges but not in addressing the third. Therefore, this paper proposes strengthening the institutional foundations of adaptive governance by engaging with institutional theory. We explore this through empirical research in the Rome Metropolitan Area, Italy. We argue that explicitly engaging with these themes could lead to a more substantive urban transition strategy and contribute to adaptive governance theory.