Difference between revisions 908366109 and 911485125 on enwiki

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

'''Soft computing''' is the idea of computing like people because people and the world are soft.  It was conceived by [[Lotfi Zadeh]], pioneer of a mathematical concept known as [[fuzzy sets]] which led to many new fields such as [[fuzzy control system]]s, fuzzy graph theory<ref> http://researchmathsci.org/apamart/apam-v4n1-3.pdf</ref>, [[fuzzy systems]], and so on.   Zadeh observed that people are good at 'soft' thinking while computers typically are 'hard' thinking.<ref>http://soft-computing.de/def.html</ref>  People use concepts like 'some', 'most', or 'very' rather than 'hard' or precise concepts of 3.5 or 102. People want a 'warm' glass of milk, not one that is 102 degrees. In general, people atre good at learning, finding patterns, adapting and are rather unpredictable.  In 'hard' computing, by contrast, machines need precision, determinism and  measures, and although pattern recognition happens, there is a 'brittleness' if things change - it cannot easily adapt. 'Soft' computing by contrast embraces chaotic, neural models of computing that are more pliable.  Because there is no known single method that lets us compute like people,  soft computing involves using a comb(contracted; show full)* 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]]