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DEPE | Séminaires BEEPSS / BEEPSS Seminars » Complexity, social systems and communication

Complexity, social systems and communication

Last update: : Thursday 7 February 2019, by Nicolas Busser

Presented by: Nancy Rebout & Bernard Thierry, Ethologie Cognitive et Sociale, Université de Strasbourg, Physiologie de la Reproduction et des Comportements, INRA, CNRS, Université de Tours
Date: Thursday 14th March 2019, 13:00-14:30
Place: Amphithéâtre Grünewald, Batiment 25

We introduce a new metric that purports to quantify the complexity of living organisms and social organizations based on the level of uncertainty that these systems can produce. We consider three dimensions regarding complexity: diversity based on the number of system elements and the number of types of these elements; flexibility which bears upon variations in the elements; and combinability which refers to the connectedness, modularity and nestedness of systems. These three dimensions are quantified using Shannon’s uncertainty formula, and integrated to provide a tripartite complexity index. We apply this index to the study of vocal communication in four species of macaque to test whether complex social systems induce the evolution of complex communication signals.