Outputs (4)

Evolving unipolar memristor spiking neural networks (2015)
Journal Article

© 2015 Taylor & Francis. Neuromorphic computing – brain-like computing in hardware – typically requires myriad complimentary metal oxide semiconductor spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristors are freq... Read More about Evolving unipolar memristor spiking neural networks.

A brief history of learning classifier systems: from CS-1 to XCS and its variants (2015)
Journal Article

© 2015, Springer-Verlag Berlin Heidelberg. The direction set by Wilson’s XCS is that modern Learning Classifier Systems can be characterized by their use of rule accuracy as the utility metric for the search algorithm(s) discovering useful rules. Suc... Read More about A brief history of learning classifier systems: from CS-1 to XCS and its variants.

On the evolution of Boolean networks for computation: A guide RNA mechanism (2015)
Journal Article

© 2015 Taylor & Francis. There is a growing body of work within computational intelligence which explores the use of representations inspired by the genetic regulatory networks of biological cells. This paper uses a recently presented abstract, tun... Read More about On the evolution of Boolean networks for computation: A guide RNA mechanism.

A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers (2015)
Journal Article

© 2015, Springer Science+Business Media New York. Learning classifier systems (LCS) are population-based reinforcement learners that were originally designed to model various cognitive phenomena. This paper presents an explicitly cognitive LCS by usi... Read More about A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers.