Presented by:
Markus Gaelli
PhD (c.s.)"Modeling Examples to Test and Understand Software" Earning my living using Smalltalk most of the time. Etoyer, Scratcher, Snapper! Tinkerer, early adaptor. Diatonic accordion player.
[My slides about the "Raytracer Challenge"](https://drive.google.com/file/d/1xrB7TmovBrer7K_-lzhGof1xJXYbzPMX/view) [The raytracer project](https://snap.berkeley.edu/project?user=markusgaelli&project=Ray%20Tracer%20Challenge)
As “Snap! is Scheme disguised as Scratch” we should be able to do evolutionary programming pretty easily: We all know the creation of the “vee” where we shuffle around some kind of L(indenmayer)-expressions. How about adding a fitness function and let a few hundred s-expressions evolve some solution to a given problem? Or even let the problem/ fitness-function co-evolve? Either I can present something or this just is just a call for action, let’s see…
- Duration:
- 5 min
- Room:
- Plenary
- Conference:
- Snap!Con 2022
- Type:
- Lightning Talk
This session is a part of:
Brian Broll
Another round of lightning talks!
- How to use tens of thousands of machine learning models from Snap! (without the JavaScript extension)
- The Abstraction Obstruction
- Variations on Wordle
- Implementation of block programming for learning artificial intelligence principles
- Teaching and Learning Model of Creative Collaboration Intelligence
- Learning about vector graphics using Turtlestitch and Snap!
- Competence measure in snap! projects
- Genetic Programming, anyone?