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| Biologically-inspired computing ： ウィキペディア英語版 |
Bio-inspired computing
Bio-inspired computing, short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. It is often closely related to the field of artificial intelligence, as many of its pursuits can be linked to machine learning. It relies heavily on the fields of biology, computer science and mathematics. Briefly put, it is the use of computers to model the living phenomena, and simultaneously the study of life to improve the usage of computers. Biologically inspired computing is a major subset of natural computation.
== Areas of research ==
Some areas of study encompassed under the canon of biologically inspired computing, and their biological counterparts:
*genetic algorithms ↔ evolution
*biodegradability prediction ↔ biodegradation
*cellular automata ↔ life
*emergent systems ↔ ants, termites, bees, wasps
*neural networks ↔ the brain
*artificial life ↔ life
*artificial immune systems ↔ immune system
*rendering (computer graphics) ↔ patterning and rendering of animal skins, bird feathers, mollusk shells and bacterial colonies
*Lindenmayer systems ↔ plant structures
*communication networks and protocols ↔ epidemiology and the spread of disease
*membrane computers ↔ intra-membrane molecular processes in the living cell
*excitable media ↔ forest fires, "the wave", heart conditions, axons, etc.
*sensor networks ↔ sensory organs
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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