Heather J. Goldsby, Ph.D.

Affiliations: 
University of Washington, Seattle, Seattle, WA 
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"Heather Goldsby"

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Charles Ofria grad student 2011 Michigan State
 (The evolution of division of labor in digital organisms.)
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Publications

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Vostinar AE, Goldsby HJ, Ofria C. (2019) Suicidal selection: Programmed cell death can evolve in unicellular organisms due solely to kin selection. Ecology and Evolution. 9: 9129-9136
Goldsby HJ, Knoester DB, Kerr B, et al. (2014) The effect of conflicting pressures on the evolution of division of labor. Plos One. 9: e102713
Goldsby HJ, Knoester DB, Ofria C, et al. (2014) The evolutionary origin of somatic cells under the dirty work hypothesis. Plos Biology. 12: e1001858
Johnson A, Strauss E, Pickett R, et al. (2014) More Bang For Your Buck: Quorum-Sensing Capabilities Improve the Efficacy of Suicidal Altruism Artificial Life. 120-128
Johnson AE, Goldsby HJ, Goings S, et al. (2014) The evolution of kin inclusivity levels Gecco 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. 177-184
Knoester DB, Goldsby HJ, McKinley PK. (2013) Genetic variation and the evolution of consensus in digital organisms Ieee Transactions On Evolutionary Computation. 17: 403-417
Goldsby HJ, Dornhaus A, Kerr B, et al. (2012) Task-switching costs promote the evolution of division of labor and shifts in individuality. Proceedings of the National Academy of Sciences of the United States of America. 109: 13686-91
Goldsby HJ, Serra N, Dyer F, et al. (2012) The evolution of temporal polyethism Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 178-185
Goings S, Goldsby H, Cheng BHC, et al. (2012) An ecology-based evolutionary algorithm to evolve solutions to complex problems Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 171-177
Clune J, Goldsby HJ, Ofria C, et al. (2011) Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory. Proceedings. Biological Sciences / the Royal Society. 278: 666-74
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