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008 | 121227s1999 gw | s |||| 0|eng d | ||
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_a9783540487654 _9978-3-540-48765-4 |
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024 | 7 |
_a10.1007/b72302 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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245 | 1 | 0 |
_aMultiple Approaches to Intelligent Systems _h[electronic resource] : _b12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999, Proceedings / _cedited by Ibrahim F. Imam, Yves Kodratoff, Ayman El-Dessouki, Moonis Ali. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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300 |
_aXXXVIII, 904 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1611 |
|
505 | 0 | _aInvited Talks -- Fuzzy Systems -- Neural Networks -- Genetic Algorithms -- Search -- Reasoning -- Expert Systems and Applications -- Case-Base Reasoning -- Intelligent Agents -- Distributed AI -- Machine Learning -- Temporal Reasoning -- Knowledge Representation -- Planning and Scheduling -- Tutoring and Manufacturing Systems -- Intelligent Software Engineering. | |
520 | _aWe never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aDynamics. | |
650 | 0 | _aNonlinear theories. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Modelling. |
650 | 2 | 4 | _aApplied Dynamical Systems. |
700 | 1 |
_aImam, Ibrahim F. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKodratoff, Yves. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aEl-Dessouki, Ayman. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aAli, Moonis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540660767 |
776 | 0 | 8 |
_iPrinted edition: _z9783662176009 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1611 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b72302 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
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