Publisher's Synopsis
Artificial neural networks, ever since they regained interest from the mid-1980s on, have become a much discussed topic in artificial intelligence (AI). This in turn brought with it much debate as to the real contribution of neural networks to explaining and modelling cognition. This edited collection, brings together a selection of papers from experts in their field, outlining the concrete contribution that neural computing has made to AI. The result is a collection of arguments, examples and elaborations about how neural networks can not only contribute to a better AI, but somewhat revolutionize it by forming the basis for a truly alternative paradigm.
