Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/53673
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Full metadata record
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dc.contributor.author | Michalewicz, Z. | - |
dc.contributor.author | Michalewicz, M. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | IEEE Computational Intelligence Magazine, 2008; 3(1):54-63 | - |
dc.identifier.issn | 1556-603X | - |
dc.identifier.issn | 1556-6048 | - |
dc.identifier.uri | http://hdl.handle.net/2440/53673 | - |
dc.description | Copyright © 2008 IEEE | - |
dc.description.abstract | One of the key observations of the author was that machine intelligence might be defined as the capability of a system to adapt its behavior to meet desired goals in a range of environments. Interestingly, the three components of prediction, adaptation, and optimization constitute the core modules of adaptive business intelligence systems. Clearly, the future of the business intelligence industry lies in systems that can make decisions, rather than tools that produce detailed reports. | - |
dc.description.statementofresponsibility | Zbigniew Michalewicz and Matthew Michalewicz | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/mci.2007.913389 | - |
dc.title | Machine intelligence, adaptive business intelligence, and natural intelligence | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/MCI.2007.913389 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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hdl_53673.pdf | 419.82 kB | Publisher's PDF | View/Open |
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