EGT Reading Group 51 – 55 and a photo

The evolutionary game theory reading group — originally part of the raison d’être for this blog — has continued at a crawling pace. Far from the weekly groups of its early days in 2010, we’ve only had 5 meetings since my last update on March 26th, 2015 — almost 11 months ago. Surprisingly, this is a doubling in pace, with the 46 to 50 milestone having taken 22 months. To celebrate, I wanted to update you on what we’ve read and discussed:

February 5, 2016 Li, X.Y., Pietschke, C., Fraune, S., Altrock, P.M., Bosch, T.C., & Traulsen, A. (2015). Which games are growing bacterial populations playing? Journal of The Royal Society Interface, 12(108)
July 27, 2015 Cardelli L, & Csikász-Nagy A (2012). The cell cycle switch computes approximate majority. Scientific Reports, 2.
Angluin, D., Aspnes, J., & Eisenstat, D. (2008). A simple population protocol for fast robust approximate majority. Distributed Computing, 21(2): 87-102.
May 22 Worden, L., & Levin, S. A. (2007). Evolutionary escape from the prisoner’s dilemma. Journal of Theoretical Biology, 245(3): 411-422.
Akçay, E., & Roughgarden, J. (2011). The evolution of payoff matrices: providing incentives to cooperate. Proceedings of the Royal Society B: Biological Sciences, 278(1715): 2198-2206.
April 22 Szabo, G., & Fath, G. (2007). Evolutionary games on graphs Physics Reports, 446 (4-6), 97-216 [Sections 3, 4, and C]
April 8 Archetti, M., Scheuring, I., Hoffman, M., Frederickson, M. E., Pierce, N. E., & Yu, D. W. (2011). Economic game theory for mutualism and cooperation. Ecology Letters, 14(12): 1300-1312.
Archetti, M., & Scheuring, I. (2013). Trading public goods stabilizes interspecific mutualism. Journal of Theoretical Biology, 318: 58-67.

EGT55

Above is a photo from the reading group last Friday in the collaboratorium at Moffitt. From left to right you can see David Basanta (holding on iPad through which Rob Noble is Skyping in), Andriy Marusyk, Jacob Scott, and Robert Vander Velde debating some fine point of bacterial evolution. In the background is a series of machines for caffeinating beverages that keep the department of integrated mathematical oncology running.

Tomorrow will be the next read group. We will focus on the explanatory power of evolutionary life histories in cancer by discussing:

Aktipis, C. A., Boddy, A. M., Gatenby, R. A., Brown, J. S., & Maley, C. C. (2013). Life history trade-offs in cancer evolution. Nature Reviews Cancer, 13(12): 883-892.

If you want updates on future reading groups then contact me to be added to the mailing list. We are always happy to have people join our meetings through Skype or Google Hangouts.

See you tomorrow, and at the next milestone!

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About Artem Kaznatcheev
From the Department of Computer Science at Oxford University and Department of Translational Hematology & Oncology Research at Cleveland Clinic, I marvel at the world through algorithmic lenses. My mind is drawn to evolutionary dynamics, theoretical computer science, mathematical oncology, computational learning theory, and philosophy of science. Previously I was at the Department of Integrated Mathematical Oncology at Moffitt Cancer Center, and the School of Computer Science and Department of Psychology at McGill University. In a past life, I worried about quantum queries at the Institute for Quantum Computing and Department of Combinatorics & Optimization at University of Waterloo and as a visitor to the Centre for Quantum Technologies at National University of Singapore. Meander with me on Google+ and Twitter.

3 Responses to EGT Reading Group 51 – 55 and a photo

  1. Pingback: EGT Reading Group 51 – 55 and a photo – CancerEvo

  2. Pingback: EGT Reading Group 56 – 60 | Theory, Evolution, and Games Group

  3. Pingback: Cataloging a year of cancer blogging: double goods, measuring games & resistance | Theory, Evolution, and Games Group

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