Animals, Anthropology, Biological Computation, Biology, Biometrics, Education, Nature, PDF, Science

Darwinism About Darwinism (Joeri Witteveen)


Review of Darwinian Populations and Natural Selection by Peter Godfrey-Smith (Oxford Uni Press 2009)

“… devoted to fleshing out what makes a population Darwinian. This is done by scoring a given population on a variety of parameters, such as H, the fidelity of heredity, and V, the abundance of variation. So, instead of saying that a population must have heredity and variation—in the vein of the classical approach—the Darwinian populations framework ranks populations according to how much it possesses of each. The H and V parameters are familiar; they are derived from the classical summaries. The other parameters are less obvious. G-S discusses several important ones, but notes that these do not exhaust the options; other parameters may also be important in judging how Darwinian a population is. The new parameters that are discussed at some length are α, defined as the competitive interaction with respect to reproduction, C, for “continuity” or smoothness of the fitness landscape, and S, the dependence of reproductive differences on “intrinsic character.” The concept of continuity was introduced by Lewontin as the principle that “small changes in a characteristic must result in only small changes in ecological relations” (Lewontin 1978: 169). G-S extends this principle, and turns it into a parameter. One way to understand C is as the smoothness of the fitness landscape. The smoother the fitness landscape, the higher the value C takes for the population under consideration. C is determined by causes of both internal and external nature. Internal influences stem from the organism’s physiology and development. External influences on C are location, and interaction with others. G-S assigns the internal/external difference its own parameter, S, for “intrinsic character.” The higher a population’s score on C and S, the more Darwinian are the individuals it is composed of. C and S not only tell us something about what makes individuals more Darwinian, they also serve as a replacement for another vexed notion in evolutionary theory: drift. Selection is often contrasted with drift; change may be due to selection and/or drift. G-S suggests that the C and S parameters dissolve this dichotomy. What we take to be drift is in fact a combination of low values of C and/or S. So drift and selection are not two distinct factors, but are “distinctions along the gradients of S and C” (p. 61). After having discussed some of the parameters, G-S introduces a spatial framework of three-dimensional “Darwinian spaces” as a tool for further analysis. Along each of the three axes of a Darwinian space, we can put a parameter, on which a score from 0 to 1 can be obtained. For instance, if we put the H, C, and S parameters along the axes and start scoring populations, one that scores close to (0,0,0) is very marginal, and one that sits close to (1,1,1) is a paradigmatic Darwinian population. Scoring somewhere in between will make it a minimal Darwinian population.”


Analog Computing, Bio hacking, Biological Computation, Biology, Biometrics, Brain, Cybernetics, DNA, Science

Mind-controlled transgene expression by a wireless-powered optogenetic designer cell implant

“Mammalian synthetic biology has significantly advanced the design of gene switches that are responsive to traceless cues such as light, gas and radio waves, complex gene circuits, including oscillators, cancer-killing gene classifiers and programmable biocomputers, as well as prosthetic gene networks that provide treatment strategies for gouty arthritis, diabetes and obesity. Akin to synthetic biology promoting prosthetic gene networks for the treatment of metabolic disorders, cybernetics advances the design of functional man–machine interfaces in which brain–computer interfaces (BCI) process brain waves to control electromechanical prostheses, such as bionic extremities and even wheel chairs. The advent of synthetic optogenetic devices that use power-controlled, light-adjustable therapeutic interventions18 will enable the merging of synthetic biology with cybernetics to allow brain waves to remotely control the transgene expression and cellular behaviour in a wireless manner.”


Anthropology, Biology, Biometrics, Brain, Education, History, Medicine, Neural Networks, Optics, PDF, Science

The Optics of Ibn Al-Haytham, Books I–III: On Direct Vision (c1028-38)

“This is the first English translation of first three out of the 7 volumes of the fundamental work on optics by the medieval Arab scientist Ibn al-Haitham or Alhazen (965–c1039). His book exerted a great influence upon science through Vitelo, Roger Bacon, Peckham and Kepler. Alhazen investigated many particular cases of reflection and refraction, and drew attention to the light-ray’s property of retracing its path when reversed. He was the first to give a detailed description of the human eye and to study binocular vision. Certain ophthalmological terms originated from the Latin translation of Alhazen’s Arabic text, e.g. retina and cornea. The Book of Optics (Kitāb al-Manāẓir, كتاب المناظر) presented experimentally founded arguments against the widely held extramission theory of vision (as held by Euclid in his Optica) and in favour of intromission theory, as supported by thinkers such as Aristotle, the now accepted model that vision takes place by light entering the eye.”


AI, Algorithm, Automata, Biological Computation, Code, Cybernetics, Deep Learning, Emergence, Man/Machine, Neural Networks, Robots, Science, Social intelligence, Society

Can a robot be too nice?

“Designing artificial entities perfectly groomed to meet our emotional needs has an obvious appeal, like creating the exact right person for a job from thin air. But it’s also not hard to imagine the problems that might arise in a world where we’re constantly dealing with robots calibrated to treat us, on an interpersonal level, exactly the way we want. We might start to prefer the company of robots to that of other, less perfectly optimized humans. We might react against them, hungry for some of the normal friction of human relations. As Lanier worried, we might start to see the lines blur, and become convinced that machines—which in some ways are vastly inferior to us, and in other ways vastly superior—are actually our equals.”


Art, Biology, Biometrics, Brain, Education, Mind, Psychology, Science, Society

Secrets of the Creative Brain

“Part of what comes with seeing connections no one else sees is that not all of these connections actually exist. “Everybody has crazy things they want to try,” that same subject told me. “Part of creativity is picking the little bubbles that come up to your conscious mind, and picking which one to let grow and which one to give access to more of your mind, and then have that translate into action.””


Anthropology, Archeology, Biology, History, Media, Science, Social intelligence, Society

Mapping Intel­lec­tual Migra­tion Net­works

“We’re starting out to do some­thing which is called cul­tural sci­ence where we’re in a very sim­ilar tra­jec­tory as sys­tems biology for example,” said Schich, now an asso­ciate pro­fessor in arts and tech­nology at the Uni­ver­sity of Texas at Dallas. “As data sets about birth and death loca­tions grow, the approach will be able to reveal an even more com­plete pic­ture of his­tory. In the next five to 10 years, we’ll have con­sid­er­ably larger amounts of data and then we can do more and better, address more questions.”


AI, Algorithm, Biometrics, Brain, Capitalism, Cybernetics, Economy, Education, Emergence, Ethics, Man/Machine, Robots, Science, Social intelligence, Society

Will You Lose Your Job To a Robot?

“The biggest exception will be jobs that depend upon empathy as a core capacity — schoolteacher, personal service worker, nurse. These jobs are often those traditionally performed by women. One of the bigger social questions of the mid-late 2020s will be the role of men in this world.” — Jamais Cascio, technology writer and futurist