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All Outputs (85)

Towards clustering with learning classifier systems (2008)
Book Chapter
Tamee, K., Bull, L., & Pinngern, O. (2008). Towards clustering with learning classifier systems. In L. Bull, E. Bernadó-Mansilla, & J. Holmes (Eds.), Learning classifier systems in data mining (191-204). Springer

Initial results from the use of evolutionary learning to control chemical computers (2008)
Journal Article
Budd, A., Stone, C., Masere, J., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2008). Initial results from the use of evolutionary learning to control chemical computers. International Journal of Unconventional Computing, 4(1), 13-22

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.

Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays (2008)
Journal Article
Bull, L., & Uroukov, I. (2008). Towards neuronal computing: simple creation of two logic functions in 3D cell cultures using multi-electrode arrays. International Journal of Unconventional Computing, 4(2), 143-154

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.

Boolean networks with memory (2008)
Journal Article
Alonso-Sanz, R., & Bull, L. (2008). Boolean networks with memory. International Journal of Bifurcation and Chaos, 18(12), 3799-3814. https://doi.org/10.1142/S0218127408022755

In standard Boolean Networks (BN) the new state of a cell depends upon the neighborhood configuration only at the preceding time step. The effect of implementing memory of different types in cells of BN with different degrees of random rewiring is st... Read More about Boolean networks with memory.

A data model for integrating heterogeneous medical data in the health-e-child project (2008)
Book Chapter
Branson, A., Hauer, T., McClatchey, R., Rouglin, D., & Shamdasani, J. (2008). A data model for integrating heterogeneous medical data in the health-e-child project. In T. Solominides, J. C. Silverstein, J. Saltz, Y. Legré, M. Kratz, I. Foster, …J. R. Beck (Eds.), Global Healthgrid: e-Science Meets Biomedical Informatics (13-23). IOS Press

On lookahead and latent learning in simple LCS (2008)
Conference Proceeding
Bull, L. (2008). On lookahead and latent learning in simple LCS. https://doi.org/10.1007/978-3-540-88138-4_9

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.

Non-linear media based computers: chemical and neuronal networks through machine learning (2008)
Report
Bull, L., Adamatzky, A., de Lacy Costello, B., Husbands, P., O’Shea, M., Purcell, W., & Taylor, A. (2008). Non-linear media based computers: chemical and neuronal networks through machine learning

There is growing interest in research into the development of hybrid wetware-silicon devices focused on exploiting their potential for 'non-linear computing'. The aim is to harness the as yet only partially understood intricate dynamics of non-linear... Read More about Non-linear media based computers: chemical and neuronal networks through machine learning.