Social science researchers employ so-called qualitative methods, such as case studies, interviews, documentary evidence, participant observation, and the quasi-quantitative method of survey research. Physical science researchers employ quantitative methods; they take measurements, collect and count data points, and formulate equations that model how systems change. The difference in methods is said to make the social sciences more subjective compared to the hard sciences. Interdisciplinary studies departments worldwide now offer courses combining quantitative and qualitative methods as a compromise intended to resist the privileging of one method over the other. In this talk, I will argue that we’ve been coming up with answers to the wrong question. Continue reading
Tag Archives: self-organization
Slime Mold is Smarter than AI
The Next Rembrandt is a multi-million dollar project, funded in part by a Big Bank and Microsoft, which trained AI to mimic the style of the great master in order to paint a mediocre original painting (left). In this article, J. Augustus Bacigalupi, Òscar Castro Garcia and I show how complex and sophisticated even the most primitive forms of life are as they sense and respond to their worlds. Artificial Intelligence, in comparison, is slow-witted, boring, and completely unable to get puns or jokes, much less to make art. We caution against anyone who might argue that current AI can begin to replace human judgement in, for instance, medicine or education. We also offer a means by which machine sensors might be designed so that they are a little bit closer the abilities of slime mold. Click to download: Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation
Futuretech Finding Genius Podcast
“In biosemiotics, we say that the human ability to interpret signs—which is the ability to think really, to think creatively and adaptively and learn new things—didn’t just emerge with animals; rudimentary sign reading emerged in the simplest forms of life with single-celled organisms,” says Victoria Alexander, biosemiotician, Director of Dactyl Foundation, Fulbright specialist, and author of The Biologist’s Mistress: Rethinking Self-Organization in Art, Literature, and Nature. Continue reading
Third Way of Evolution
Happy to be accepted into this extraordinary group of evolutionary theorists and excited about starting new work on a non-selectionist approach to learning.
Smithsonian Magazine reviews Fine Lines
Vladimir Nabokov might be best known as a novelist, specifically as the author of Lolita, but what many might not know is that one of his deepest passions was studying butterflies.
Now, a new book from Yale University Press honors his dedication to the delicate creatures. The book, Fine Lines, is a collection of more than 150 of his scientific illustrations of butterflies, rivaling John James Audubon in their detail.
May 11, VN Alexander on Nabokov at Library in Rosendale, NY
WEDNESDAY, MAY 11 7 PM FREE
“Vladimir Nabokov and Insect Mimicry: The Artist as Scientist”
Victoria N Alexander
Public Scholars, NY Council for the Humanities: In collaboration with the NY Council for the Humanities, the Rosendale Public Library presents a slide/lecture on the controversial novelist and lepidopterist, Vladimir Nabokov, that reveals his insights into the mysteries of mimicry and how the scientific community responded to his studies. Fantastic images of insect mimicry will be used as examples of how important art is to good science. This event is made possible through the Public Scholars program with support from the National Endowment for the Humanities.
Tonstant Weader Reviews Fine Lines
“….I also enjoyed Victoria Alexander’s Chance, Nature’s Practical Jokes, and the ‘Non-Utilitarian Delights’ of Butterfly Mimicry… While some of the science is quite technical, her writing is clear and also lyrical.” Continue reading
VN Alexander Interviewed on Yale Radio with Brainard Carey
WYBCX The Art World Demystified, Hosted by Brainard Carey
In this 45 min interview, VN Alexander’s talks with Brainard about why art is so important to learning, about the little-known “artistic” evolutionary mechanisms (other than mutation/gradual selection) that help create new species, about what the term “intelligence” in “artificial intelligence” means, about the difference between computer algorithms and poetic thinking –and lots more.