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Soft computing
{{Distinguish|soft microprocessor}}
{{Expert needed|computer science|date=July 2009}}

In [[computer science]], '''soft computing''' (sometimes referred to as [[computational intelligence]], though CI does not have an agreed definition) is the use of inexact solutions to computationally hard tasks such as the solution of [[NP-complete]] problems, for which there is no known algorithm that can compute an exact solution in [[polynomial time]]. Soft computing differs from conventi(contracted; show full)Unlike hard computing schemes, which strive for exactness and full truth, soft computing techniques exploit the given tolerance of imprecision, partial truth, and uncertainty for a particular problem. Another common contrast comes from the observation that [[inductive reasoning]] plays a larger role in soft computing than in hard computing.

==References==
{{reflist}}

==External links==
* [http://www.softcomputing.es EUROPEAN CENTRE FOR SOFT COMPUTING]
* [
https://web.archive.org/web/20080106133957/http://www.helsinki.fi/~niskanen/bisc.html BISC SIG IN PHILOSOPHY OF SOFT COMPUTING]
* [https://www.cs.upc.edu/~websoco/ SOCO: UPC Group on Soft Computing Systems]
* http://www.soft-computing.de/def.html
* https://web.archive.org/web/20160310135547/http://dspace.nitrkl.ac.in:8080/dspace/bitstream/2080/1136/1/subudhi.pdf

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[[Category:Scientific modeling]]
[[Category:Artificial intelligence]]
[[Category:Semantic Web]]
[[Category:Soft computing]]