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      What constitutes “social complexity” and “social intelligence” in birds? Lessons from ravens

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          Abstract

          In the last decades, the assumption that complex social life is cognitively challenging, and thus can drive mental evolution, has received much support from empirical studies in nonhuman primates. While extending the scope to other mammals and birds, different views have been adopted on what constitutes social complexity and which specific cognitive skills are selected for. Notably, many avian species form “open” groups as non-breeders (i.e., seasonally and before sexual maturity) that have been largely ignored as potential sources of social complexity. Reviewing 30 years of research on ravens, we illustrate the socio-ecological conditions faced by these birds as non-breeders and discuss how these relate to their socio-cognitive skills. We argue that the non-breeding period is key to understand raven social life and, to a larger extent, avian social life in general. We furthermore emphasize how the combination of the large-scale perspective (defining social system components: e.g., social organization, mating system) and the individual-scale perspective on social systems allows to better capture the complete set of social challenges experienced by individuals throughout their life, ultimately resulting on a more comprehensive understanding of species’ social complexity.

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          Neocortex size as a constraint on group size in primates

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            The mentality of crows: convergent evolution of intelligence in corvids and apes.

            Discussions of the evolution of intelligence have focused on monkeys and apes because of their close evolutionary relationship to humans. Other large-brained social animals, such as corvids, also understand their physical and social worlds. Here we review recent studies of tool manufacture, mental time travel, and social cognition in corvids, and suggest that complex cognition depends on a "tool kit" consisting of causal reasoning, flexibility, imagination, and prospection. Because corvids and apes share these cognitive tools, we argue that complex cognitive abilities evolved multiple times in distantly related species with vastly different brain structures in order to solve similar socioecological problems.
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              The principles of collective animal behaviour.

              In recent years, the concept of self-organization has been used to understand collective behaviour of animals. The central tenet of self-organization is that simple repeated interactions between individuals can produce complex adaptive patterns at the level of the group. Inspiration comes from patterns seen in physical systems, such as spiralling chemical waves, which arise without complexity at the level of the individual units of which the system is composed. The suggestion is that biological structures such as termite mounds, ant trail networks and even human crowds can be explained in terms of repeated interactions between the animals and their environment, without invoking individual complexity. Here, I review cases in which the self-organization approach has been successful in explaining collective behaviour of animal groups and societies. Ant pheromone trail networks, aggregation of cockroaches, the applause of opera audiences and the migration of fish schools have all been accurately described in terms of individuals following simple sets of rules. Unlike the simple units composing physical systems, however, animals are themselves complex entities, and other examples of collective behaviour, such as honey bee foraging with its myriad of dance signals and behavioural cues, cannot be fully understood in terms of simple individuals alone. I argue that the key to understanding collective behaviour lies in identifying the principles of the behavioural algorithms followed by individual animals and of how information flows between the animals. These principles, such as positive feedback, response thresholds and individual integrity, are repeatedly observed in very different animal societies. The future of collective behaviour research lies in classifying these principles, establishing the properties they produce at a group level and asking why they have evolved in so many different and distinct natural systems. Ultimately, this research could inform not only our understanding of animal societies, but also the principles by which we organize our own society.
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                Author and article information

                Contributors
                palmyre.boucherie@gmail.com
                Journal
                Behav Ecol Sociobiol
                Behav. Ecol. Sociobiol. (Print)
                Behavioral Ecology and Sociobiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-5443
                19 January 2019
                19 January 2019
                2019
                : 73
                : 1
                : 12
                Affiliations
                [1 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Department of Cognitive Biology, , University of Vienna, ; Vienna, Austria
                [2 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Konrad Lorenz Forschungsstelle, Core Facility for Behaviour and Cognition, , University of Vienna, ; Vienna, Austria
                Author notes

                Communicated by D. Lukas

                Article
                2607
                10.1007/s00265-018-2607-2
                6404394
                30930524
                f9b128c9-da0d-4fd9-9806-144d498378dd
                © The Author(s) 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 9 March 2018
                : 10 July 2018
                : 12 November 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002428, Austrian Science Fund;
                Award ID: P29705-B29
                Award ID: Y366-B17
                Award ID: M1351-B17
                Award ID: P26806-B22
                Award Recipient :
                Categories
                Review
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2019

                Ecology
                social complexity,social cognition,corvids,monogamy,non-breeding period
                Ecology
                social complexity, social cognition, corvids, monogamy, non-breeding period

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