Finished the DTW run and uploaded.
Good video on population-based search: ICML 2019 Tutorial: Recent Advances in Population-Based Search for Deep Neural Networks
7:00 – 3:00 ASRC PM Summit
- 75th anniversary of D-day
- Research talk today at the conference. Much networking yesterday.
- The talk went well. More opportunities for networking. Mayne some ML for 3D printing?
- Copied the CHIPLAY paper to a new GROUP 2020 folder and change to the acm small article format
- Simplicial models of social contagion
- Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize social contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate social changes and contribute to the understanding of higher-order interactions in complex systems.
- This is wild: Randomly wired neural networks and state-of-the-art accuracy? Yes it works.
- This is sad: Training a single AI model can emit as much carbon as five cars in their lifetimes
- Came home and slept 2 1/2 hours. Very cooked.
7:00 – 4:00 ASRC NASA GEOS
- Continuing to read Colin Martindale’s Cognitive Psychology, a Neural Network Approach, which is absolutely bonkers for something written decades ago. Ordered two more copies.
- JASSS Paper. Adding footnotes to figures, which is tricky.
- Took the chapter numbers out of the file names, since these things seem to be sliding around quite a bit
- Registered for Politics and Computational Social Science (PACSS) Conference
- GROUP paper?
- Waveform clustering
- Adding noise to the float_functions class. Here’s the waveform without and with some (0.1) noise:
- Installed fastdtw for python
- DTW is working on the lines in the csv. Identical lines have zero distance, noise has some. Need to think about some kind of normalizing measure. Maybe divide by the number of points?
- Need to iterate as nested loops over all the rows. Skip when i == j – done
- Need to build a Dataframe of distances from one row to the next – done
- Here are the two curves to compare:
- And here’s the DTW result:
- Good Waikato meeting. We’ll try to run a jury next week. Also, meetings have been moved to 6:30 EST
Phil 7:00 – 5:00 ASRC NASA GEOS
- Factors Motivating Customization and Echo Chamber Creation Within Digital News Environments
- With the influx of content being shared through social media, mobile apps, and other digital sources – including fake news and misinformation – most news consumers experience some degree of information overload. To combat these feelings of unease associated with the sheer volume of news content, some consumers tailor their news ecosystems and purposefully include or exclude content from specific sources or individuals. This study explores customization on social media and news platforms through a survey (N = 317) of adults regarding their digital news habits. Findings suggest that consumers who diversify their online news streams report lower levels of anxiety related to current events and highlight differences in reported anxiety levels and customization practices across the political spectrum. This study provides important insights into how perceived information overload, anxiety around current events, political affiliations and partisanship, and demographic characteristics may contribute to tailoring practices related to news consumption in social media environments. We discuss these findings in terms of their implications for industry, policy, and theory
- More JASSS paper
- Installing new IntelliJ and re-indexing
- Discovered a few bugs with the JsonUtils.find. Fixed and submitted a version to StackOverflow. Eeeep!
Tikkun olam (Hebrew for “world repair”) has come to connote social action and the pursuit of social justice. The phrase has origins in classical rabbinic literature and in Lurianic kabbalah, a major strand of Jewish mysticism originating with the work of the 16th-century kabbalist Isaac Luria.
Cooperation in large-scale human societies — What, if anything, makes it unique, and how did it evolve?
- There is much controversy about whether the cooperative behaviours underlying the functioning of human societies can be explained by individual self-interest. Confusion over this has frustrated the understanding of how large-scale societies could ever have evolved and be maintained. To clarify this situation, we here show that two questions need to be disentangled and resolved. First, how exactly do individual social interactions in small- and large-scale societies differ? We address this question by analysing whether the exchange and collective action dilemmas in large-scale societies differ qualitatively from those in small-scale societies, or whether the difference is only quantitative. Second, are the decision-making mechanisms used by individuals to choose their cooperative actions driven by self-interest? We address this question by extracting three types of individual decision-making mechanism (three type of “minds”) that have been assumed in the literature, and compare the extent to which these decision-making mechanisms are sensitive to individual material payoff. After addressing the above questions, we ask: what was the key change from other primates that allowed for cooperative behaviours to be maintained as the scale of societies grew? We conclude that if individuals are not able to refine the social interaction mechanisms underpinning cooperation, i.e change the rules of exchange and collective action dilemmas, then new mechanisms of transmission of traits between individuals are necessary. Examples are conformity-biased or prestige-biased social learning, as stressed by the cultural group selection hypothesis. But if individuals can refine and adjust their social interaction mechanisms, then no new transmission mechanisms are necessary and cooperative acts can be sustained in large-scale societies entirely by way of self-interest, as stressed by the institutional path hypothesis. Overall, our analysis contributes to the theoretical foundation of the evolution of human social behaviour.