Presented by:
Markus Gaelli
from
Swisscom (Schweiz) AG
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" The raytracer project
Genetically breeding populations of computer programs to solve problems in artificial intelligence
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?