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All Outputs (15)

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(18), 184708. https://doi.org/10.1063/1.2932252

We propose that the behavior of nonlinear media can be controlled dynamically through coevolutionary systems. In this study, a light-sensitive subexcitable Belousov-Zhabotinsky reaction is controlled using a heterogeneous cellular automaton. A checke... Read More about Dynamic control and information processing in the Belousov-Zhabotinsky reaction using a coevolutionary algorithm.

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

On logical gates in precipitating medium: Cellular automaton model (2008)
Journal Article
Martínez, G. J., Adamatzky, A., & de Lacy Costello, B. (2008). On logical gates in precipitating medium: Cellular automaton model. Physics Letters A, 372(31), 5115-5119. https://doi.org/10.1016/j.physleta.2008.05.087

We study a two-dimensional semi-totalistic binary cell-state cellular automaton, which imitates a reversible precipitation in an abstract chemical medium. The systems exhibits a non-trivial growth and nucleation. We demonstrate how basic computationa... Read More about On logical gates in precipitating medium: Cellular automaton model.

Computation by competing patterns: life rule B2/S2345678 (2008)
Presentation / Conference
Martinez, G. J., Adamatzky, A., McIntosh, H. V., & de Lacy Costello, B. (2008, June). Computation by competing patterns: life rule B2/S2345678. Paper presented at Automata 2008, Bristol, UK

Computation by competing patterns: life rule B2/S2345678 (2008)
Book Chapter
Martinez, G. J., Adamatzky, A., McIntosh, H. V., & de Lacy Costello, B. (2008). Computation by competing patterns: life rule B2/S2345678. In A. Adamatzky, R. Alonso-Sanz, A. Lawniczak, G. J. Martinez, K. Morita, & T. Worsch (Eds.), Automata 2008: Theory and Applications of Cellular Automata (356-367). Frome: Luniver Press

Patterns, originating from different sources of perturbations, propagating in a precipitating chemical medium do usually compete for the space. They sub-divide the medium onto the regions unique for an initial configuration of disturbances. This sub-... Read More about Computation by competing patterns: life rule B2/S2345678.

Evolving localizations in reaction-diffusion cellular automata (2008)
Journal Article
Adamatzky, A., Bull, L., Collet, P., & Sapin, E. (2008). Evolving localizations in reaction-diffusion cellular automata. International Journal of Modern Physics C, 19(04), 557-567. https://doi.org/10.1142/S0129183108012376

We consider hexagonal cellular automata with immediate cell neighbourhood and three cell-states. Every cell calculates its next state depending on the integral representation of states in its neighbourhood, i.e., how many neighbours are in each one s... Read More about Evolving localizations in reaction-diffusion cellular automata.

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.2008.14.2.203

We 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.

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.

Universal computation with limited resources: Belousov-Zhabotinsky and physarum computers (2008)
Journal Article
Adamatzky, A., De Lacy Costello, B., & Shirakawa, T. (2008). Universal computation with limited resources: Belousov-Zhabotinsky and physarum computers. International Journal of Bifurcation and Chaos, 18(08), 2373-2389. https://doi.org/10.1142/S0218127408021750

Using the examples of an excitable chemical system (the Belousov-Zhabotinsky medium) and plasmodium of Physarum polycephalum we show that universal computation in a geometrically unconstrained medium is only possible when resources (excitability or c... Read More about Universal computation with limited resources: Belousov-Zhabotinsky and physarum computers.

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.

On the representation of gliders in Rule 54 by de Bruijn and cycle diagrams (2008)
Journal Article
Martinez, G. J., Adamatzky, A., & McIntosh, H. V. (2008). On the representation of gliders in Rule 54 by de Bruijn and cycle diagrams. Lecture Notes in Artificial Intelligence, 5191, 83-91

Rule 54, in Wolfram’s notation, is one of elementary yet complexly behaving one-dimensional cellular automata. The automaton supports gliders, glider guns and other non-trivial long transients. We show how to characterize gliders in Rule 54 by diagra... Read More about On the representation of gliders in Rule 54 by de Bruijn and cycle diagrams.