Discovering graphic analogies through the use of genetic algorithms

Abstract

Researchers have studied graphic analogies from a wide range of disciplines and have perceived them in different ways. However, to represent analogy-making in computer simulations was not sought after until 1968 by a programmer by the name of Thomas Evans. His implementation was more or less a traditional way of viewing analogy-making decisions. The goal of my research is to first introduce an algorithm called Genetic Algorithm (GA) and from there give insight on how I went about developing a system that uses a GA to solve the analogy-making problem.