Connectionism is a "hands on" introduction to connectionist modeling through practical exercises in different types of connectionist architectures.

• explores three different types of connectionist architectures – distributed associative memory, perceptron, and multilayer perceptron
• provides a brief overview of each architecture, a detailed introduction on how to use a program to explore this network, and a series of practical exercises that are designed to highlight the advantages, and disadvantages, of each
• accompanied by a website at that includes practice exercises and software, as well as the files and blank exercise sheets required for performing the exercises
• designed to be used as a stand-alone volume or alongside Minds and Machines: Connectionism and Psychological Modeling (by Michael R.W. Dawson, Blackwell 2004)