Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction
(2008)
Presentation / Conference
Stone, C., Toth, R., de Lacy Costello, B., Adamatzky, A., & Bull, L. (2008, September). Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction. Paper presented at 10th International Conference Parallel problem solving from Nature- PPSN X, Dortmund, Germany
Outputs (63)
Coevolving cellular automata with memory for chemical computing: Boolean logic gates in the BZ reaction (2008)
Book Chapter
Stone, C., Toth, R., de Lacy Costello, B., Bull, L., & Adamatzky, A. (2008). Coevolving cellular automata with memory for chemical computing: Boolean logic gates in the BZ reaction. In G. Rudolph, T. Jansen, S. M. Lucas, C. Poloni, & N. Beume (Eds.), Parallel Problem Solving from Nature - PPSN X: 10th International Conference Dortmund, Germany, September 13-17, 2008 (579-588). Berlin/Heidelberg: Springer
Towards designing collision based chemical logic gates with adaptive computing (2008)
Presentation / Conference
Toth, R., Stone, C., de Lacy Costello, B., Adamatzky, A., & Bull, L. (2008, June). Towards designing collision based chemical logic gates with adaptive computing. Paper presented at IPCC 2008, Concordia University, Montreal, Canada
Towards unconventional computing through simulated evolution: Control of nonlinear media by a learning classifier system (2008)
Journal Article
Bull, L., Budd, A., Stone, C., Uroukov, I., Costello, B. D. L., & Adamatzky, A. (2008). Towards unconventional computing through simulated evolution: Control of nonlinear media by a learning classifier system. Artificial Life, 14(2), 203-222. https://doi.org/10.1162/artl.2008.14.2.203We propose that the behavior of nonlinear media can be controlled automatically through evolutionary learning. By extension, forms of unconventional computing (viz., massively parallel nonlinear computers) can be realized by such an approach. In this... Read More about Towards unconventional computing through simulated evolution: Control of nonlinear media by a learning classifier system.
Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm (2008)
Journal Article
Toth, R., Stone, C., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2008). Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm. Journal of Chemical Physics, 129, 184708. https://doi.org/10.1063/1.2932252
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 learningThere 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.
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), 13-22The 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 the coevolution of cellular automata controllers for chemical computing with the B-Z reaction (2007)
Presentation / Conference
Stone, C., Toth, R., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2007, July). Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. Paper presented at 9th annual conference on Genetic and evolutionary computation, London, England
Unconventional computing 2007 (2007)
Book
Adamatzky, A., de Lacy Costello, B., Bull, L., Stepney, S., & Teuscher, C. (2007). Unconventional computing 2007. Frome: Luniver Press
Towards unconventional computing through simulated evolution: Learning classifier system control of non-linear media (2007)
Journal Article
Bull, L., Budd, A., Stone, C., Uroukov, I. S., Costello, B. D. L., & Adamatzky, A. (2007). Towards unconventional computing through simulated evolution: Learning classifier system control of non-linear media. Artificial Life,