Constraints, language and computation

Abstract

Cognitive science is a discipline which treats computation as a model of cognitive processing. There are currently two paradigmatic approaches: symbolic computation and neural networks. The former is naturally suited to modelling functions where reasoning is seen to be essential, such as planning and discourse understanding. The latter is suited to treating functions which are characteristically 'subconscious', such as visual perception and co-ordination. The aim of the series is to encourage both approaches to cognitive science and ideally to contribute to their eventual integration. This is best served by remaining responsive to the growth of the subject. Monographs may be directed towards the modelling of specific cognitive processes or the development of the underlying computational paradigm. They might also be speculative studies which address hitherto unexplored horizons. The series will seek to develop the computational aspects of cognitive science, including both theoretical and practical considerations. The objective is to strengthen the computational foundations of the subject and to encourage applications across a broad spectrum.