Grant M. Maxwell

Learn More
This paper explains the optimisation of neuralnetwork topology using Incremental Evolution;that is, by allowing the network to expand byadding to its structure. This method allows anetwork to grow from a simple to a complexstructure until it is capable of fulfilling itsintended function. The approach is somewhatanalogous to the growth of an embryo or(More)
Connectionist approaches to artificial intelligence are almost always based on artificial neural networks. However, there is another route towards parallel distributed processing, taking as its inspiration the intelligence displayed by single celled creatures called protoctists (protists). This is based on networks of interacting proteins. Such networks may(More)
This version may not include final proof corrections and does not include published layout or pagination. Repository, are protected by copyright and intellectual property law. If you believe that any material held in 'OpenAIR@RGU' infringes copyright, please contact openair-help@rgu.ac.uk with details. The item will be removed from the repository while the(More)
This paper describes the results of current research into an artificial nervous system for animats, a class of robots based on animals. The system is based on a hierarchical model and has been implemented using evolutionary artificial neural networks. A new neuron model has been developed for use in the system. The artificial neural networks are combined in(More)