The morning session of this first workshop day has provided a theoretical grounding in machine learning concepts, methods of problem representation (direct and in-direct), principle and hybrid paradigms (Evolutionary Computation, Artificial Neural Networks, NeuroEvolution of Augmenting Topologies (NEAT), Compositional Pattern Producing Networks (CPPN) and HyperNEAT), algorithm architecture and application realms. This was delivered by Sebastian Risi (ITU). The afternoon session was led by Robert Vierlinger (University of Applied Arts Vienna and Bollinger+Grohmann) who provided a whistlestop tour of the new Octopus plugin for Grasshopper. Workshop participants followed a series of introductory design exercises using CPPNs – warming up for the design exercise of Day 2 which will see machine learning informed designs fabricated using CNC milling…
is co-organised by CITA and REAL:Robotics, Evolution and Arts Lab, ITU