Michal Arbilly


email: michal dot arbilly [at] emory dot edu 

I am a behavioral ecologist, and I use theoretical models to try and understand how cognition and behavior evolve. I'm especially interested in how group-living shapes learning and decision-making processes.
CV in brief:
2014-2015 - Visiting scholar, University of California, Berkeley (with Lucia Jacobs)
2012-2013 - Postdoctoral fellow, University of St Andrews (with Kevin Laland)
2010-2011 - Postdoctoral fellow, Stanford University (with Marc Feldman)
2011 - PhD in Zoology, Tel-Aviv University (with Arnon Lotem and Uzi Motro)
2005 - MSc in Genetics, The Hebrew University of Jerusalem (with Ariel Darvasi)
2003 - BSc in Biology and Psychology, The Hebrew University of Jerusalem

Arbilly, M., Accepted. High-magnitude innovators as keystone individuals in the evolution of culture. Philosophical Transactions of the Royal Society B, Biological Sciences.

Arbilly, M. and Lotem, A., Accepted. Constructive anthropomorphism: a functional evolutionary approach to the study of human-like cognitive mechanisms in animals. Proceedings of the Royal Society B, Biological Sciences.

Arbilly, M. and Laland, K.N., 2017. The magnitude of innovation and its evolution in social animals. Proceedings of the Royal Society B, Biological Sciences 284: 20162385. http://dx.doi.org/10.1098/rspb.2016.2385

Burton-Chellew, M., Kacelnik, A., Arbilly, M., dos Santos, M., Mathot, K.M., McNamara, J.M., Mengel, F., van der Weele, J. and Vollan, B., 2017. The ecological and economic conditions of exploitation strategies. In: Investors and Exploiters in Ecology and Economics: Principles and Applications, ed. L-A. Giraldeau, P. Heeb and M. Kostfeld. Strüngmann Forum Reports, vol. 21, J. Lupp, series editor. Cambridge, MA: MIT Press.

Arbilly, M., 2015. Understanding the evolution of learning by explicitly modeling learning mechanisms. Current Zoology 61(2): 341-349. http://dx.doi.org/10.1093/czoolo/61.2.341

Arbilly, M., Weissman, D.B., Feldman, M.W. and Grodzinski U., 2014. An arms race between producers and scroungers can drive the evolution of social cognition. 
Behavioral Ecology 25(3): 487-495. http://dx.doi.org/10.1093/beheco/aru002 

Arbilly, M., and Laland, K.N., 2014. The local enhancement conundrum: in search of the adaptive value of a social learning mechanism. 
Theoretical Population Biology 91: 50-57. http://dx.doi.org/10.1016/j.tpb.2013.09.006  

Boogert, N.J., Arbilly, M., Muth, F. and Seed, A.M., 2013. Do crows reason about causes or agents? The devil is in the controls. 

Arbilly, M., Motro, U., Feldman, M.W. and Lotem, A., 2011. Recombination and the evolution of coordinated phenotypic expression in a frequency-dependent game. 
Theoretical Population Biology 80(4): 244-255. http://dx.doi.org/10.1016/j.tpb.2011.09.001

Arbilly, M., Motro, U., Feldman, M.W. and Lotem, A., 2011. Evolution of social learning when high expected payoffs are associated with high risk of failure. 
Journal of the Royal Society Interface 8 (64): 1604-1615. http://dx.doi.org/10.1098/rsif.2011.0138

Arbilly, M., Motro, U., Feldman, M.W. and Lotem, A., 2010. Co-evolution of learning complexity and social foraging strategies. 
Journal of Theoretical Biology 267: 573-581. http://dx.doi.org/10.1016/j.jtbi.2010.09.026

Devor, M., Gilad, A., Arbilly, M., Nissenbaum, J., Yakir, B., Raber, P., Minert, A., Pisanté, A. and Darvasi, A., 2007. Sex-specific variability and a ‘cage effect’ independently 
mask a neauropathic pain quantitative trait locus detected in a whole genome scan. European Journal of Neuroscience 26(3): 681-8. http://dx.doi.org/10.1111/j.1460-9568.2007.05704.x

Arbilly, M., Pisanté, A., Devor, M. and Darvasi, A., 2006. An integrative approach for the identification of quantitative trait loci. 
Animal Genetics 37, Suppl 1: 7-9. http://dx.doi.org/10.1111/j.1365-2052.2006.01472.x 

Devor, M., Gilad, A., Arbilly, M., Yakir, B., Raber, P., Pisanté, A. and Darvasi, A., 2005. pain1: a neuropathic pain QTL on mouse chromosome 15 in a C3HxC58 backcross.

Delgado, M.M., Jacobs. L.F. and Arbilly, M. Pilfering imposes a limit on food-cachers' memory.

To my full CV