Talk:Computational intelligence

From Wikipedia, the free encyclopedia

Seems like this article had some disagreements coming in over the weekend. This involves the extent and breakdown of the topic. A quick link check produced the following:

  • Bioinformatics or computational biology is about the sovling of biological problems
  • Bioengineering deals with bio-molecular and molecular processes, and includes biomedical- food- and agricultural engineering
  • Autonomous mental development is the investigating of evolution through computer programs
  • Computational finance is a form of finance which relies on mathematical methods
  • Computational economics is the branch of applied mathematics concerned with the financial markets
  • Intelligent Systems is a video game developer team of Nintendo Co., Ltd.
  • Emergence is the process of complex pattern formation from simpler rules (occurring over time or over disparate size scales)
  • Data mining is the extraction of implicit, previously unknown, and potentially useful information from data, used with a varied meaning

These topics are not subsets of CI, although they might be related. Machine learning and Expert systems should be removed from 'related topics' as is explained at the end of the first article paragraph. Lets keep the disagreements to the discussion. --moxon 17:43, 31 October 2005 (UTC)

[edit] Contradiction, confusion

I don't get it: First ci "either rejects fuzzy systems or ignores neural networks", then both are listed as part of ci. ??? And more generally, saying what the two sides (ci and ml) reject is not a clear way to explain what they are. This ci beginner needs help. Thx, "alyosha" 03:01, 20 December 2005 (UTC)

I edited it to try and solve the disambiguation: fuzzy rejects and neurals ignores stats. The deffinition of CI and ML is quite fuzzy, at the moment I think examples and differences are the simplest way to define then. They are 2 different classical approached to AI. ML builds heavily on statistics, CI does not. This is the most obvious difference. A rough definition might be "learning from empirical data". --moxon 15:27, 20 December 2005 (UTC)

[edit] Merge?

Do we really need a seperate article for a specific arbitrary, mechanical distinction on ways to achieve weak AI? How about this article gets redirected to a new article on the computational aproaches to AI? - Jake11...

Strong/Weak AI is a philosophical issue or matter of opinion and has no impact on the techniques followed. CI denotes distinct methods opposing conventional/neat AI. See the IEEE CI Soc. as referenced. This is an existing and growing branch of computer science & engineering and needs no redirection. --moxon 16:27, 16 March 2006 (UTC)

[edit] Not alternative to AI, etc.

Computational intelligence is a subset of AI. It is an alternative to GOFAI and the 'neats'. In addition Evolutionary computation is not equal to Genetic algorithms and Fuzzy logic is not an algorithm. --moxon 10:19, 16 January 2007 (UTC)

Retrieved from "http://en.wikipedia.org../../../c/o/m/Talk%7EComputational_intelligence_4202.html"