Outputs (261)

The emergence of glider guns in cellular automata found by evolutionary algorithms (2008)
Report

Clusters and switchers in globally coupled photochemical oscillators (2008)
Journal Article

Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays (2008)
Journal Article

In this paper we begin by reviewing a number of previously presented approaches to control the electrical stimulation of in vitro neuronal networks for computation through the use of multi-electrode array technology. Drawing upon this research we des... Read More about Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays.

Initial results from the use of evolutionary learning to control chemical computers (2008)
Journal Article

The behaviour of pulses of Belousov-Zhabotinski (BZ) reaction diffusion waves can be controlled automatically through machine learning. By extension, a form of chemical network computing, i.e., a massively parallel non-linear Computer, can be realise... Read More about Initial results from the use of evolutionary learning to control chemical computers.

Searching for glider guns in cellular automata: Exploring evolutionary and other techniques (2008)
Journal Article

Knowledge discovery from medical data: an empirical study with XCS (2008)
Book Chapter

In this chapter we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowled... Read More about Knowledge discovery from medical data: an empirical study with XCS.

A new hybrid architecture for the discovery and compaction of knowledge from breast cancer datasets (2008)
Report

Consideration of using learning classifier systems to create a simple neuronal computer (2008)
Report

UWE Learning Classifier Systems Group Technical Report – UWELCSG07-003

On lookahead and latent learning in simple LCS (2008)
Presentation / Conference Contribution

Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most current research has shifted to the use of an accuracy-based scheme wher... Read More about On lookahead and latent learning in simple LCS.

Unorganised machines in learning classifier systems (2008)
Report

Learning Classifier Systems Group Technical Report - UWELCSG08-004