This webpage is outdatedSee new version hereEvolution & Optimization Optimization principles are a useful reference to understand biological systems. But evolution does not produce in general perfectly optimal systems so we must expect significant deviations from optimality. As part of my PhD thesis at de Polavieja lab, we developed a way to perform testable predictions about these deviations. Assuming that suboptimal states can exist, but that the probability of a given state is higher for higher values of the objective function, we predict a correlation between the impact of each component of the system on the objective function and its deviation from the optimum. - A. Pérez-Escudero,
M. Rivera-Alba, G.G. de Polavieja (2009) Structure of deviations
from optimality in biological systems.
*Proc Natl Acad Sci USA*106, 20544-20549 (pdf) (web) (Open Labbook) (Faculty of 1000)
As part of my PhD thesis at de Polavieja lab, we have developed a model of collective decision making, based on Bayesian estimation of the environment using both social and non-social (sensory) information. We obtain a simple analytic model that reproduces with great accuracy datasets of different species (zebrafish, sticklebacks and Argentine ants). Related publications: - A. Pérez-Escudero, G.G. de Polavieja (2011) Collective Animal Behavior from Bayesian Estimation and Probability Matching.
*PLoS Comput Biol*7(11): e1002282. doi:10.1371/journal.pc bi.1 002282 (pdf) (web) (journal cover) - S. Arganda, A.
Pérez-Escudero & G. G: de Polavieja (2012) A common rule for
decision-making in animal collectives across species,
*Proc Natl Acad Sci USA*vol. 109 no. 50 20508-20513 (pdf) (web)
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