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OFAI-TR-93-14 ( 50kB g-zipped PostScript file)

Understanding and Self-Organization --- What can the Speaking Lion Tell Us?

Erich Prem

The current rebirth of self-organizing systems in several distinct domains of research poses new epistemic questions. Self-organizing systems have a tendency to not only behave in an unpredictable way, they are also extremely difficult to analyse. In this paper we discuss three problems with neural networks that are important for self-organization in general. They are related to the proper design of a self-organizing system, to the role of the system engineer, and to the proper explanation of system behaviour. We shall try to present a generally applicable solutions, which is based on a ``symbol grounding'' neural network architecture. We then discuss the relation of this approach to the measurement problem in physics and point out similarities to existing positions in philosophy. However, it should be noted that our ``solution'' of the explanation problem may be judged as being a very sceptic one.

Citation: Prem E.: Understanding and Self-Organization --- What can the Speaking Lion Tell Us?, Austrian Research Institute for Artificial Intelligence, Vienna, TR-93-14, 1993.