Bio-inspired computing
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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 behavior and emergence.
Description
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.
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.
See also
- Applications of artificial intelligence
- Artificial life
- Artificial neural network
- Behavior based robotics
- Bioinformatics
- Bionics
- Cognitive architecture
- Cognitive modeling
- Cognitive science
- Connectionism
- Digital morphogenesis
- Digital organism
- Evolutionary algorithm
- Evolutionary computation
- Fuzzy logic
- Gene expression programming
- Genetic algorithm
- Genetic programming
- Gerald Edelman
- Janine Benyus
- Mark A. O'Neill
- Mathematical biology
- Mathematical model
- Natural computation
- Neuroevolution
- Olaf Sporns
- Organic computing
- Swarm intelligence
