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phys
Every cell needs a shell. The cell interior is separated from its surroundings by a membrane made up of fat molecules, helping to create the environment needed for the cell to survive. Development of artificial cells is similarl Via Gerd Moe-Behrens
Phillip Trotter's insight:
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Scientists are exploring a mysterious pattern, found in birds’ eyes, boxes of marbles and other surprising places, that is neither regular nor random.
Phillip Trotter's insight:
If you want to understand why AI is beginning to make major breakthroughts - it helps to understand the physics underpinning our world. This article gives a good overview of one such physical property - hyperuniform that is neither regular or random but a distribution that reflects the constrained reality that biological systems evolve within. Very much worth reading.
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Observational data about human behavior is often heterogeneous, i.e., generated by subgroups within the population under study that vary in size and behavior. Heterogeneity predisposes analysis to Simpson's paradox, whereby the trends observed in data that has been aggregated over the entire population may be substantially different from those of the underlying subgroups. I illustrate Simpson's paradox with several examples coming from studies of online behavior and show that aggregate response leads to wrong conclusions about the underlying individual behavior. I then present a simple method to test whether Simpson's paradox is affecting results of analysis. The presence of Simpson's paradox in social data suggests that important behavioral differences exist within the population, and failure to take these differences into account can distort the studies' findings.
Computational Social Scientist Beware: Simpson's Paradox in Behavioral Data Via Complexity Digest
Phillip Trotter's insight:
When building models of human systems understanding Simpson's paradox is essential for creating behaviorally accurate representations
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ALIFE 14, the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, presents the current state of the art of Artificial Life—the highly interdisciplinary research area on artificially constructed living systems, including mathematical, computational, robotic, and biochemical ones. The understanding and application of such generalized forms of life, or “life as it could be,” have been producing significant contributions to various fields of science and engineering.
Artificial Life 14 Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems Edited by Hiroki Sayama, John Rieffel, Sebastian Risi, René Doursat and Hod Lipson http://mitpress.mit.edu/books/artificial-life-14 Via Complexity Digest
Phillip Trotter's insight:
I remember reading the first one of these and my imagination being captured by Chris Langton's introduction. Look forward to reading this one.
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