Evolvable computing by means of evolvable components
Natural Computing: an international journal
Towards Development on a Silicon-based Cellular Computing Machine
Natural Computing: an international journal
Using feedback to regulate gene expression in a developmental control architecture
Proceedings of the 9th annual conference on Genetic and evolutionary computation
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Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Learning with a Quadruped Chopstick Robot
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
Real world hardware evolution: a mobile platform for sensor evolution
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Analogue circuit control through gene expression
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Challenges of evolvable hardware: past, present and the path to a promising future
Genetic Programming and Evolvable Machines
UPP'04 Proceedings of the 2004 international conference on Unconventional Programming Paradigms
Evolution in materio: investigating the stability of robot controllers evolved in liquid crystal
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Grand challenge 7: journeys in non-classical computation
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
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It is argued that natural evolution is, par excellence, an algorithm that exploits the physical properties of materials. Such an exploitation of the physical characteristics has already been demonstrated in intrinsic evolution of electronic circuits. This paper is an attempt to point the way toward the exciting possibility of using artificial evolution to directly exploit the properties of materials, possibly at a molecular level. It is suggested that this may be best accomplished inmaterials not normally associated with electronic functions. Electronic components have been prefected by human designers to construct circuits using the traditional top-down methodology. Workers in artificial intrinsic hardware evolution have with the best of motives, been abusing such components. It is a tribute to the amazing resourcefulness of a blind evolutionary process that it has been possible to evolve new circuits in this way. Artificial evolution may be much more effective when the configurable medium has a rich andcomplicated physics. This idea is discussed and particular examples that look extremely promising are given. Ultimately it may be possible to evolve entirely new technologies and new sorts of computational systems may be devised that confer many advantages over conventional electronic technology.