Tag Archives: Artificial Intelligence Optimization
Counteractive Rule Sets
I’ve been working on an artificial intelligence system of late which has proved rather insightful into the workings of various rule systems. Of particular note I began to realise the simplicity that can programmed when you begin to use counteractive … Continue reading
Genetic Algorithms: Harnessing Environmental Selection
I have been considering a problem that was posed to myself a few weeks back. A programmer wants to create a program that attempts to replicate a painted image using a genetic algorithm. For example, a tree. As he builds … Continue reading