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• W2337136075 abstract "The field of collective animal behaviour examines how relatively simple, local interactions between individuals in groups combine to produce global-level outcomes. Existing mathematical models and empirical work have identified candidate mechanisms for numerous collective phenomena but have typically focused on one-off or short-term performance. We argue that feedback between collective performance and learning - giving the former the capacity to become an adaptive, and potentially cumulative, process - is a currently poorly explored but crucial mechanism in understanding collective systems. We synthesise material ranging from swarm intelligence in social insects through collective movements in vertebrates to collective decision making in animal and human groups, to propose avenues for future research to identify the potential for changes in these systems to accumulate over time." @default.
• W2337136075 created "2016-06-24" @default.
• W2337136075 creator A5029955956 @default.
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• W2337136075 date "2016-07-01" @default.
• W2337136075 modified "2023-09-30" @default.
• W2337136075 title "Bringing a Time–Depth Perspective to Collective Animal Behaviour" @default.
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• W2337136075 doi "https://doi.org/10.1016/j.tree.2016.03.018" @default.
• W2337136075 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27105543" @default.
• W2337136075 hasPublicationYear "2016" @default.
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