Omnia mutantur, nos et mutamur in illis.
All things change, and we change with them.
Computation is treated broadly: algorithms, formal procedures, machine intelligence, and the technical means by which models are built, trained, and interpreted. What matters here is not only implementation but the way procedures reshape what can be represented, tested, and understood.
Emphases
- algorithmic structure
- machine learning and statistical models
- computational representation and inference
- interfaces between symbolic and numerical reasoning
Use
This section includes notes that bear on both implementation and concept formation, especially where computation touches mathematics, graphics, and physics.