The incorporation of such parallelism into artificial systems with semi-conductor switching speeds offers the potential of very powerful capabilities. For the capabilities to be realised as actual abilities though, the parallelism has to be organised appropriately. Artificial neural networks are an attempt to provide systems incorporating these features effectively by modelling abstract computational features of the brain's information processing. The aim of the Intellligent Computation Group at St Andrews is to provide such effective computation through modelling of both biological and cognitive insights into intelligent information processing and representation. This modelling also incorporates other artificial intelligence techniques such as Symbolic AI and Artificial Life into neural systems where they are appropriate.
Heuristic search is used to provide benchmarks for the effectiveness of the computation.
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