Difference between revisions 944685841 and 944712024 on enwiki

{{Distinguish|soft microprocessor}}

{{Draft}}

{{Multiple issues|
{{Expert needed|computer science|date=July 2009}}
{{Notability|date=August 2019}}
{{Essay-like|date=August 2019}}
{{Confusing|date=August 2019}}
{{Incomprehensible|date=August 2019}}
{{Unfocused|date=August 2019}}
}}

[[File:Soft Computing pic.jpg|thumb|Soft Computing diagram]]
'''Soft computing''' is an insignificant discipline within Artificial Intelligence which is trying to redefine existing computer science. The mainstream attempt of creating intelligent machines is described with a pejoratively connotation as “hard computing”.<ref>{{cite journalbook |doi=10.1007/978-3-642-24672-2_1 |isbn=978-3-642-24671-5 |year=2011 |publisher=Springer Berlin Heidelberg |pages=3--–36 |author=Rudolf Seising and Veronica Sanz |title=From Hard Science and Computing to Soft Science and Computing An Introductory Survey |chapter=From Hard Science and Computing to Soft Science and Computing – an Introductory Survey |volume=273 |conference=Soft Computing in Humanities and Social Sciences |series=Studies in Fuzziness and Soft Computing }}</ref> Soft computing claims to bypass existing bottlenecks in science with a strong bias towards [[semiotics]] <ref>{{cite conference |title=From semiotics to computational semiotics |author=Gudwin, Ricardo R |conference=Proceedings of the 9th International Congress of the German Society for Semiotic Studies, 7th International Congress of the International Association for Semiotic Studies (IASS/AIS) |year=1999 }}</ref><ref>{{cite conference |title=Computing Fuzzy Semantic Granules from Natural Language Texts |author=Rieger, B |conference=Proc. 7th IPMU Conf. |pages=475--–479 |year=1998 }}</ref> and imprecise knowledge.<ref>{{cite journal |doi=10.1016/j.procs.2016.09.366 |year=2016 |publisher=Elsevier BV |volume=102 |pages=34--–38 |author=Dogan Ibrahim |title=An Overview of Soft Computing |journal=Procedia Computer Science }}</ref> At the same time, it's implied that the normal, so called “hard science” isn't motivated to deal with [[probability]] and with the [[symbol grounding problem]].

==Criticism of computer science==
In the early 1990s the first papers about soft computing were published by [[Lotfi Zadeh]], which is known as the father of [[Fuzzy logic]]. He improved a range-based logic system into a [[universal science]] which stands in opposition to Artificial Intelligence. Soft computing isn't a positive independent theory about a new sort of neural networks or a certain algorithm to process information but it's a critique on existing artificial Intelligence teaching. According to soft computing [[advocacy group]]s, normal computer science isn't able to analyze cognitive processes <ref>{{cite journal |doi=10.2991/ijcis.2010.3.2.4 |year=2010 |publisher=Atlantis Press |volume=3 |number=2 |pages=160 |author=Rudolf Seising |title=What is Soft Computing? Bridging Gaps for 21st Century Science! |journal=International Journal of Computational Intelligence Systems }}</ref> and its using the wrong sort of [[mathematical statistics]].

There are some research projects ongoing in which the theory of soft computing was demonstrated for practical examples.<ref>{{cite journal |doi=10.1007/s005000000053 |year=2000 |publisher=Springer Science and Business Media LLC |volume=4 |number=4 |pages=238--–250 |author=C. Zhou |title=Neuro-fuzzy gait synthesis with reinforcement learning for a biped walking robot |journal=Soft Computing }}</ref><ref>{{cite journal |doi=10.1109/3477.979962 |pmid=18238106 |year=2002 |publisher=Institute of Electrical and Electronics Engineers (IEEE) |volume=32 |number=1 |pages=77--–90 |author=F. Karray and W. Gueaieb and S. Al-Sharhan |title=The hierarchical expert tuning of PID controllers using tools of soft computing |journal=IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) }}</ref> Neuron [[MOS transistor]]s where build <ref>{{cite conference |title=Soft-computing integrated circuits for intelligent information processing |author=Shibata, Tadashi and Yagi, Masakazu and Adachi, Masayoshi |conference=Proceedings of The Second International Conference on Information Fusion |volume=1 |pages=648--–656 |year=1999 }}</ref> and emotional pets <ref>{{cite journal |doi=10.1109/5.949483 |year=2001 |publisher=Institute of Electrical and Electronics Engineers (IEEE) |volume=89 |number=9 |pages=1243--–1265 |author=Y. Dote and S.J. Ovaska |title=Industrial applications of soft computing: a review |journal=Proceedings of the IEEE }}</ref> were designed. Most of these make-shift projects are ignored by machine learning experts because the existing mathematical tools for building CPUs and intelligent robots are sufficient to fulfill current and future demands.

(contracted; show full)ximate models and gives solutions to complex real-life problems.{{clarify|date=January 2020}} 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>
{{Cite web | url=http://soft-computing.de/def.html | title=Soft Computing Home Page - Short Definition of Soft Computing}}</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 are 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 thi(contracted; show full)
<!-- [[Category:Scientific modeling]]
[[Category:Artificial intelligence]]
[[Category:Semantic Web]]
[[Category:Soft computing]]
 -->

{{AFC submission|||ts=20200309093942|u=ManuelRodriguez|ns=118}}
⏎
⏎
⏎
⏎