ABSTRACT
Our intention in this chapter is to take a step back and to try and look at neural networks from some high-level perspectives. First, we will attempt to impose some order on the seemingly disparate set of structures, algorithms, etc., that make up the network “zoo”. Secondly, we will explore further the consequences of the hierarchical scheme introduced in Chapter 9. Next, we will look at connectionism alongside conventional AI and compare their relative merits in providing an understanding of intelligent systems. Finally, an historical overview helps to complement the structural taxonomy and provides an insight into the nature of the scientific process.
