Associative memory and the board game Quarto

Abstract

Neural networking or Connectionist Theory dates back to 1943 with the researchers Warren S. McCulloch and William Pitts [5]. This article investigates the basic structure of neural networks and how they relate to associative memory. The article will also study the use of associative memory in construction of a competent computer opponent for the game Quarto. The computer opponent is trained using a modification of the classical Hebbian learning algorithm.