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The geometry of decision-making in individuals and collectives

Vivek H. Sridhar, Liang Li, Dan Gorbonos, Máté Nagy, Bianca R. Schell, Timothy Sorochkin, Nir S. Gov, Iain D. Couzin

2021Proceedings of the National Academy of Sciences123 citationsDOIOpen Access PDF

Abstract

Choosing among spatially distributed options is a central challenge for animals, from deciding among alternative potential food sources or refuges to choosing with whom to associate. Using an integrated theoretical and experimental approach (employing immersive virtual reality), we consider the interplay between movement and vectorial integration during decision-making regarding two, or more, options in space. In computational models of this process, we reveal the occurrence of spontaneous and abrupt "critical" transitions (associated with specific geometrical relationships) whereby organisms spontaneously switch from averaging vectorial information among, to suddenly excluding one among, the remaining options. This bifurcation process repeats until only one option-the one ultimately selected-remains. Thus, we predict that the brain repeatedly breaks multichoice decisions into a series of binary decisions in space-time. Experiments with fruit flies, desert locusts, and larval zebrafish reveal that they exhibit these same bifurcations, demonstrating that across taxa and ecological contexts, there exist fundamental geometric principles that are essential to explain how, and why, animals move the way they do.

Topics & Concepts

Computer scienceSpace (punctuation)Process (computing)EcologyStatistical physicsMathematical economicsArtificial intelligenceEvolutionary biologyTheoretical computer scienceData scienceBiologyMathematicsPhysicsOperating systemEcosystem dynamics and resilienceAnimal Behavior and ReproductionEvolutionary Game Theory and Cooperation
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