Category: Review

Fun with GECCO 2014, ALIFE 2014, and Zotero Paper Machines

By Emily Dolson on February 10, 2015 in Review / 0 Comments
Fun with GECCO 2014, ALIFE 2014, and Zotero Paper Machines

I recently discovered the Paper Machines add-on to Zotero, which allows you to perform visualizations and topic modeling analyses on papers in your Zotero collection. I just so happened to have the complete proceedings of both GECCO 2014 and ALife 2014 kicking around in my Zotero database, so I decided to try comparing them. As a quick background, GECCO, which focuses on Genetic and Evolutionary Computation, and ALife, which focuses on Artificial Life, are the two main computer science* conferences that we in the Devolab tend to go to. There is substantial overlap between these conferences (GECCO has an Artificial Life track, after all), but there are also some fundamental differences in approach and focus. GECCO

7 Things I Learned From “Evolutionary limits to cooperation in microbial communities”

By Anya Vostinar on January 27, 2015 in Review / 0 Comments

Back in December PNAS published a paper from Oliveira et al. called “Evolutionary limits to cooperation in microbial communities” [1]. My research interests lie right at the intersection of evolution and cooperation so I was fascinated by the idea that evolution imposes limits on cooperation. In this paper, Oliveira et al. examine the evolutionary dynamics of a community of microbes that can exchange a number of valuable secretions between different strains. This experimental setup enables the evolution of cooperation if one genotype focuses on producing one secretion and shares that secretion with a different strain while also gaining access to that other strain’s secretions. Ultimately, however, they found that cooperation only evolved under specific and limited conditions because of the fitness decrease that occurs when an individual isn’t close enough to receive secretions from another strain. Because I enjoy reading papers […]

Spatial Co-evolution in Age-Layered Planes

By Emily Dolson on January 13, 2015 in Review / 0 Comments

I recently read a cool paper from GECCO 2012 called “Spatial Co-Evolution: Quicker, Fitter and Less Bloated” [1] by Robin Harper. This paper explores some benefits of the Spatial Co-evolution in Age-Layered Planes (SCALP) algorithm, originally described by Harper in a previous paper (paywall) [2]. In SCALP, the population lives in a three-dimensional grid of cells. Each cell is inhabited by both a solver (the “host”) and a test case (the “parasite”). Solvers try to find the right answer for each test case that is either next to or below them. They gain fitness by more closely approximating the desired answer. Test cases, on the other hand, gain fitness by being hard to get right – fitter test cases are those for which solvers have higher error. That explains the “spatial co-evolution” part of the algorithm, but what about the age-layered planes? […]

Building an Inclusive Departmental Community {Paper Summary}

By Emily Dolson on December 16, 2014 in Review / 0 Comments

I recently came across a cool paper by Newhall et al (2014) summarizing the (highly successful) efforts of the Swarthmore College Computer Science department to build an inclusive departmental community. Full disclosure: I attended Swarthmore for undergrad, majored in CS, took classes from all of the authors on this paper, worked as a student mentor, and was pulled into the field of computer science as a direct result of the efforts described in this paper. I am not remotely objective. But that’s what the data in the paper are for. At the crux of the Swarthmore CS department’s plan was the student mentor program. Student mentors (colloquially referred to as ninjas) are students selected to provide academic support to students in introductory CS classes. They run multiple evening help sessions each week for their assigned class, ensuring […]