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Symmetry breaking in decision theories and brain dynamics

Ponente: Alessio Franci
Institución: Facultad de Ciencias, UNAM
Tipo de Evento: Divulgación
Cuándo 24/04/2018
de 12:00 a 13:00
Dónde Sala A2 del CAC
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Resumen

When choosing between candidate nest sites, a honeybee swarm reliably chooses the most valuable site and even when faced with the choice between near-equal value sites, it makes highly efficient decisions. Value-sensitive decision-making is enabled by a distributed social effort among the honeybees, and it leads to decision-making dynamics of the swarm that are remarkably robust to perturbation and adaptive to change. To explore and generalize these features to other networks, we design distributed multi-agent network dynamics that exhibit a pitchfork bifurcation, ubiquitous in biological models of decision-making.

I will end the talk with some preliminary results that use equivariant bifurcation theory to generalize the two-choice network model organized by the pitchfork to an p-choice model organized by Sp equivariant singularities.