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| '''Bio-inspired computing''' is an academic field often closely related to the field of ]. It relies heavily on the fields of ], ] and ]. Briefly put, it is the use of computers to model nature, and simulateneously the study of nature to improve the usage of computers. | '''Bio-inspired computing''' is an academic field of study that loosely knits together subfields related to the topics of ], social behaviour and ]. It is often closely related to the field of ], as many of its pursuits can be linked to ]. It relies heavily on the fields of ], ] and ]. Briefly put, it is the use of computers to model nature, and simulateneously the study of nature to improve the usage of computers. | ||
| Areas of study encompassed under the canon of bio-inspired computing: | Areas of study encompassed under the canon of bio-inspired computing: | ||
Revision as of 05:53, 19 November 2003
Bio-inspired computing is an academic 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 nature, and simulateneously the study of nature to improve the usage of computers.
Areas of study encompassed under the canon of bio-inspired computing:
- genetic algorithms
- cellular automata
- emergent systems
- neural networks
- artificial life
- lindenmayer systems
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