Advances in Connectionist and Neural Computation Theory Vol. 2

Presenting research on the computational abilities of connectionist, neural, and "neurally inspired" systems, this series emphasizes the question of how connectionist or neural network models can be made to perform rapid, short-term types of computation that are useful in higher level cognitive processes. The most recent volumes are directed mainly at researchers in connectionism, analogy, metaphor, and case-based reasoning, but are also suitable for graduate courses in those areas.