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Talk:Computational intelligence

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This is an old revision of this page, as edited by Mneser (talk | contribs) at 01:15, 18 October 2005. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
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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 the use of techniques from applied mathematics, informatics, statistics, and computer science to solve biological problems.
  • Computational evolutionary biology - The field of genetic algorithms might be described as the rough inverse of CEB — rather than investigating evolution through computer programs, it aims to improve computer programs through evolutionary principles.
  • Bioengineering: deals with bio-molecular and molecular processes, product design, sustainability and analysis of biological systems. Bioengineering encompasses disciplines applied to living organisms. It is often synonymous with biomedical engineering, though in the strict sense the term can be applied more broadly to include food engineering and agricultural engineering.
  • Computational finance is a form of finance which relies on mathematical methods, including financial mathematics
  • Financial mathematics is the branch of applied mathematics concerned with the financial markets. The subject naturally has a close relationship with the discipline of financial economics, however the subject is narrower in scope and more abstract.
  • Intelligent Systems is a video game developer and internal team of Nintendo Co., Ltd.
  • Emergence is the process of complex pattern formation from simpler rules (occurring over time such as the evolution of the human brain over thousands of successive generations; or over disparate size scales, such as the interactions between a macroscopic number of neurons producing a human brain capable of thought) For a phenomenon to be termed emergent it should generally be unpredictable from a lower level description.
  • Data mining has been defined as "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data" 1 and "The science of extracting useful information from large data sets or databases" 2. Although it is usually used in relation to analysis of data, data mining, like artificial intelligence, is an umbrella term and is used with varied meaning in a wide range of contexts.

It can be shown that these topics are not subsets of CI, although they might be related in some way. I will shorten and explain the significance of these abstracts tomorrow. Lets keep the disagreements to the discussion. --moxon 01:15, 18 October 2005 (UTC)[reply]