News for hackers. Stuff that matters.
Re:Runners’ brains may be more connected, research shows by contingencies on Saturday December 24, 2016 @10:32AM (#13250142)
Interesting. After some reading, apparently this interpretation of the trivium is standard, though this interpretation of the quadrivium not entirely. My immediate thought was that of course there would be crossover. For example, rhetoric includes elements of time (tempo/rhythm are poetic). Maths, geometry and astronomy are largely about processing, and so on. More interestingly, they considered the whole lot preparatory work for studying philosophy.

Might a modern pentivium add numbers in n-dimensional space (matrices / calculus), or a sextivium explorations and representations of infinity? Or would these fall under the subsequent study of philosophy? How about parallel/concurrent systems? It certainly seems to me as a layman that large swathes of research mathematics and theoretical physics are approaching subject areas traditionally ascribed to philosophy. I wonder what the latin word for GPU would be.

Re:Runners’ brains may be more connected, research shows by dredmorbius on Tuesday December 27, 2016 @05:09PM (#13266637)
What other definitions for the quadrivium are you finding? The set and description I've cited have seemed fairly standard, though I'm not an expert in the area.

I'm finding the content and descriptions mostly interesting in a retrospective sense -- I'm not ent

advocating that the mediaeval curriculum be implemented in its original form today. At the same time, I find the notion of input, processing, and output to be quite useful, and one which might be considered as part of a modern curriculum.

For the maths progression of the quadrivium, there are a few other possible clusters or progressions. We've made some advances in maths as well.

I see a general structure of: quantitative notations and operations (arithmetic), solving for unknowns (algebra), geometry and trigenometry, integrals and derivatives, matrixes, differential equations and approximations (FFT). There's also logic (informal, formal, programmatic), programming, and artificial intelligence / machine learning. Genetic engineering seems also to fall somewhere on this axis.

Collectively, all of this falls under inforamtion acquisition, processing, storage, and transmission.