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The geometry of decision-making in individuals and collectives.

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.

SUBMITTER: Sridhar VH

PROVIDER: S-EPMC8685676 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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The geometry of decision-making in individuals and collectives.

Sridhar Vivek H VH Li Liang L Gorbonos Dan D Nagy Máté M Schell Bianca R BR Sorochkin Timothy T Gov Nir S NS Couzin Iain D ID

Proceedings of the National Academy of Sciences of the United States of America 20211201 50

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 a ...[more]

PMID: 34880130

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Project description:ObjectiveThis study evaluated factors influencing reproductive decision-making in families containing multiple individuals with epilepsy.MethodsOne hundred forty-nine adults with epilepsy and 149 adult biological relatives without epilepsy from families containing multiple affected individuals completed a self-administered questionnaire. Participants answered questions regarding their belief in a genetic cause of epilepsy (genetic attribution) and estimated risk of epilepsy in offspring of an affected person. Participants rated factors for their influence on their reproductive plans, with responses ranging from "much more likely" to "much less likely" to want to have a child. Those with epilepsy were asked, "Do you think you would have wanted more (or any) children if you had not had epilepsy?"ResultsParticipants with epilepsy had fewer offspring than their unaffected relatives (mean = 1.2 vs. 1.9, p = .002), and this difference persisted among persons who had been married. Estimates of risk of epilepsy in offspring of an affected parent were higher among participants with epilepsy than among relatives without epilepsy (mean = 27.2 vs. 19.6, p = .002). Nineteen percent of participants with epilepsy responded that they would have wanted more children if they had not had epilepsy. Twenty-five percent of participants with epilepsy responded that "the chance of having a child with epilepsy" or "having epilepsy in your family" made them less likely to want to have a child. Having these genetic concerns was significantly associated with greater genetic attribution and estimated risk of epilepsy in offspring of an affected parent.SignificancePeople with epilepsy have fewer children than their biological relatives without epilepsy. Beliefs about genetic causes of epilepsy contribute to concerns and decisions to limit childbearing. These beliefs should be addressed in genetic counseling to ensure that true risks to offspring and reproductive options are well understood.

Dataset Information

The geometry of decision-making in individuals and collectives.

Publications

The geometry of decision-making in individuals and collectives.

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