Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction
(2008)
Presentation / Conference Contribution
Outputs (63)
Towards designing collision based chemical logic gates with adaptive computing (2008)
Presentation / Conference Contribution
Towards unconventional computing through simulated evolution: Control of nonlinear media by a learning classifier system (2008)
Journal Article
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
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.
Non-linear media based computers: chemical and neuronal networks through machine learning (2008)
Report
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.
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction (2007)
Presentation / Conference Contribution
Unconventional computing 2007 (2007)
Book