Neural Connect 4 - a connectionist approach to the game
Marvin Schneider, João Luís Garcia Rosa · 2003
This article presents the system "Neural Connect 4", a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which learns through the supervised backpropagation algorithm. The required knowledge for training comes from saved games. After a short introduction to the game itself, the symbolic algorithms used for training and evaluation are described. Comparisons are made within a connectionist approach: effective and ineffective learning techniques are shown, and the results are discussed. "Neural Connect 4" proves that artificial neural networks are completely adequate for learning Connect Four, given that certain principles are observed.