Ross Gayler
I work in credit scoring (statistical predictive modelling of customer behaviour in consumer finance) and also in cognitive science.
In credit scoring I am interested in the pragmatic issues of applying apparently simple statistical techniques in complex environments (e.g. see "Comment: Classifier technology and the illusion of progress - Credit scoring" or "Development of an application fraud scorecard: A case study of design").
In cognitive science I am attempting to develop a practical connectionist mechanism for compositional and analogical memory. This is concerned with the ability to recognise and predict situations and objects in terms of the pattern of relationships between their component parts independently of the precise identity of the component parts. Current standard connectionist techniques have limited capacity to deal with patterns of relationships and consequently have difficulty recognising novel configurations of familiar components or recognising familiar patterns of relationship when the components being related are novel. Human analogical reasoning is the extreme example of the neural functionality I am striving for. I believe that cognition is based on sensorimotor planning and that analogical retrieval is needed to allow the application of sensorimotor schemas to novel and abstract situations. I argue that high-level perception and all cognition are fundamentally the same process and are implemented by this neural mechanism of compositional, analogical memory.
Homepage: http://r.gayler.googlepages.com/home
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