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Sociality is a complex concept, as it is neither a single trait that varies along a single axis, nor an agreed upon suite of traits. The Lamprologine cichlids of Lake Tanganyika are commonly described as varying in sociality, but the question remains as to what is actually different among these species. In this talk I will explore what we mean by differences in social complexity, how different species differ in social structure, and in particular focus on what behavioural and cognitive traits are required (or have evolved) in the transition from simple to complex social systems. I will focus on how novel approaches using machine-learning and behavioural decomposition can generate a quantitative approach to the comparative study of behaviour.

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