| Biologically-inspired Computing |
Website Links For Computing |
Information AboutBiologically-inspired Computing |
| CATEGORIES ABOUT BIOLOGICALLY-INSPIRED COMPUTING | |
| theoretical computer science | |
| artificial intelligence | |
| natural computation | |
|
AREAS OF RESEARCH Some areas of study encompassed under the canon of biologically-inspired computing, and their biological counterparts:
BIO-INSPIRED COMPUTING AND AI One way in which bio-inspired computing differs from artificial intelligence (AI) is in how it takes a more evolutionary approach to learning, as opposed to the what could be described as ', Decentralised approach; bio-inspired techniques often involve the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and a method of iteratively applying those rules. After several generations of rule application it is usually the case that some forms of complex behaviour arise. Complexity gets built upon complexity until the end result is something markedly complex, and quite often completely counterintuitive from what the original rules would be expected to produce (see Complex System s). Natural evolution is a good analogy to this method–the rules of evolution ( Selection , Recombination /reproduction, Mutation and more recently Transposition ) are in principle simple rules, yet over thousands of years have produced remarkably complex organisms. A similar technique is used in Genetic Algorithms . SEE ALSO
RECOMMENDED READING ''(the following are presented in ascending order of complexity and depth, with those new to the field suggested to start from the top)''
SEE ALSO EXTERNAL LINKS
|
|
|