LEADER 03925oam 2200553 450 001 996465287603316 005 20210716124335.0 010 $a3-540-48765-4 024 7 $a10.1007/b72302 035 $a(CKB)1000000000211174 035 $a(SSID)ssj0000325032 035 $a(PQKBManifestationID)11230892 035 $a(PQKBTitleCode)TC0000325032 035 $a(PQKBWorkID)10322492 035 $a(PQKB)11781442 035 $a(DE-He213)978-3-540-48765-4 035 $a(MiAaPQ)EBC3088558 035 $a(MiAaPQ)EBC6486269 035 $a(PPN)155183362 035 $a(EXLCZ)991000000000211174 100 $a20210716d1999 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aMultiple approaches to intelligent systems $e12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999, proceedings /$fIbrahim Imam [and three others] (Eds.) 205 $a1st ed. 1999. 210 1$aBerlin ;$aHeidelberg :$cSpringer,$d[1999] 210 4$d©1999 215 $a1 online resource (XXXVIII, 904 p.) 225 1 $aLecture Notes in Computer Science ;$v1611 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-66076-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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. 330 $aWe never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers? problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research. 410 0$aLecture notes in computer science ;$v1611. 606 $aArtificial intelligence$xIndustrial applications$vCongresses 615 0$aArtificial intelligence$xIndustrial applications 676 $a670.28563 702 $aImam$b Ibrahim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465287603316 996 $aMultiple approaches to intelligent systems$92124639 997 $aUNISA