000 04431nam a22006135i 4500
001 978-3-540-48765-4
003 DE-He213
005 20240423132528.0
007 cr nn 008mamaa
008 121227s1999 gw | s |||| 0|eng d
020 _a9783540487654
_9978-3-540-48765-4
024 7 _a10.1007/b72302
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
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.
300 _aXXXVIII, 904 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
700 1 _aKodratoff, Yves.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEl-Dessouki, Ayman.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAli, Moonis.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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
912 _aZDB-2-BAE
942 _cSPRINGER
999 _c188765
_d188765