Multiple Approaches to Intelligent Systems: 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999. Proceedings PDF
Preview Multiple Approaches to Intelligent Systems: 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999. Proceedings
Lecture Notes in Artificial Intelligence 1611 Subseries ofLectureNotesin ComputerScience Editedby J.G. Carbonelland J. Siekmann Lecture Notes in Computer Science Editedby G.Goos,J. Hartmanisand J.van Leeuwen 3 Berlin Heidelberg NewYork Barcelona HongKong London Milan Paris Singapore Tokyo Ibrahim Imam Yves Kodratoff Ayman El-Dessouki Moonis Ali (Eds.) Multiple Approaches to Intelligent Systems 12th International Conference on Industrial and Engineering Applications of Arti cial Intelligence and Expert Systems IEA/AIE-99 Cairo, Egypt, May 31 - June 3, 1999 Proceedings 1 3 SeriesEditors JaimeG.Carbonell, CarnegieMellonUniversity,Pittsburgh,PA,USA Jo¨rgSiekmann, UniversityofSaarland,Saarbru¨cken,Germany VolumeEditors IbrahimF.Imam ThinkingMachinesCorporation 16NewEnglandExecutivePark,Burlington,MA01803,USA E-mail:i @think.com YvesKodratoff Universite´Paris-Sud,LRI,Baˆtiment490 F-91405Orsay,Paris,France E-mail:[email protected] AymanEl-Dessouki ElectronicsResearchInstitute,NationalResearchCenterBuilding El-TahrirStreet,Dokki,Giza,Egypt E-amil:[email protected] MoonisAli SouthwestTexasStateUniversity,DepartmentofComputerScience 601UniversityDrive,SanMarcos,TX78666-4616,USA E-mail:[email protected] Cataloging-in-Publicationdataappliedfor DieDeutscheBibliothek-CIP-Einheitsaufnahme Multipleapproachestointelligentsystems:proceedings/12thInternational ConferenceonIndustrialandEngineeringApplicationsofArti cial IntelligenceandExpertSystemsIEA/AIE-99,Cairo,Egypt,May31-June3, 1999.IbrahimImam...(ed.).-Berlin;Heidelberg;NewYork;Barcelona; HongKong;London;Milan;Paris;Singapore;Tokyo:Springer,1999 (Lecturenotesincomputerscience;Vol.1611:Lecturenotesinarti cial intelligence) ISBN3-540-66076-3 CRSubjectClassi cation(1998):I.2,J.2,J.6 ISBN3-540-66076-3Springer-VerlagBerlinHeidelbergNewYork Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,speci callytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicro lmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer-Verlag.Violationsare liableforprosecutionundertheGermanCopyrightLaw. (cid:2)c Springer-VerlagBerlinHeidelberg1999 PrintedinGermany Typesetting:Camera-readybyauthor SPIN10705131 06/3142–543210 Printedonacid-freepaper Preface We 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. As this conference marks the end of the 20th century and the beginning of a new century, we have to think very seriously about this problem, which exists in fields that are less demanding on our daily life. It is true that the most important factor of the academic-industrial convergence is the individual demand for technology. For example, medical research, automobile research, and food research are closely associated with the industrial world. Moreover, the success of such research depends highly on the products produced. For this reason, it has been more difficult to achieve academic-industrial convergence in mathematical research and other pure science fields. The industrial world of artificial intelligence is growing rapidly. A very high percentage of today’s corporations utilize AI in their products. We expect by early next century, AI will be embraced in some way in all machinery products. It is our view that as this becomes true, academic-industrial research will increasingly converge. Most current attempts to converge academic-industrial research cover only one type of convergence. The other possible alternative is to utilize AI for enhancing demanded products rather than building AI products to be demanded. To achieve such approach of convergence, competent management is necessarily needed. There are VI Preface many advantages and disadvantages on both sides. We list some of them here to be considered, enhanced, or ignored. Advantages: (cid:2) Upgrading technology in industry is usually driven by customer needs. (cid:2) Research in academia is mature and competition is very comprehensive. (cid:2) The technology installment in industrial corporations is usually based on academic research. Disadvantages: (cid:2) Competitive marketing forces corporations to hide their technology. (cid:2) Publications have no effect on carrier advancement in industry, and in many cases, it is prohibited. (cid:2) Fulfilling a graduate degree or earning a promotion often drives the advance of technology in academia. (cid:2) Even though the technology installment in industry is usually based on academic research, industrial technology rarely follows the state of the art in academic research. (cid:2) The requirements of the Doctoral of Philosophy degree do not include any industrial standards. Recommendations: Finally, here are our recommendations for such convergence: (cid:2) Increasing the industrial support to academic research. (cid:2) Introducing a new Doctoral degree (not in philosophy) that is oriented toward solving real world-problems. (cid:2) Educating conference organizers to allow research that hides industrial technology, which may influence the market (an on-site demo may be requested in return). (cid:2) Computer Science Departments should require industrial involvement in all graduate advisory committees and prepare an industrial oriented program for corporate employees. (cid:2) Industrial corporations should encourage their employees to complete their graduate study. The 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-99) attracted many researchers and engineers from all over the world. Over 140 papers were submitted to the conference. These proceedings contain 91 papers from 32 countries. Most of the papers in this volume present applications in domains that are mentioned above. It is worth mentioning that one third of the papers in this volume are concerned with Intelligent Agents, Expert Systems, and Pattern Recognition. One can notice the Preface VII strong presence of academia. This may also reflect the growing rate of industrial applications in academia. On behalf of the organizing committee, we would like to thank all those who contributed to the 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. We would like to thank the program committee members for their valuable assistance in reviewing the submitted papers. We would like to extend our thanks to the auxiliary reviewers. We thank Nihal Abosaif for her assistance in editing these proceedings, and reviewing their contents. We would like to thank Cheryl Morriss for handling the administration aspects of the conference. We thank Vladan Devedzic, Hans W. Guesgen, Howard Hamilton, Gholamreza Nakhaeizadeh, Michael Schroeder, and Jan Treur for their professional organizational effort. We especially thank all the sponsor organizations including the International Society of Applied Intelligence (ISAI), Association for Computing Machinery (ACM/SIGART), the American Association for Artificial Intelligence (AAAI), Canadian Society for Computational Studies of Intelligence (CSCSI); Institution of Electrical Engineers (IEE); International Neural Network Society (INNS); Japanese Society of Artificial Intelligence (JSAI); and Southwest Texas State University (SWT). We also thank Thinking Machines Corporation, the Electronic Research Institute of Egypt, and all supportive organizations. We would also like to thank the Harvey travel agency for local and international arrangement of the conference. A special thanks to Ahmed Kadry El-Zoheiry and Hesham El-Badry. Finally, we thank all authors who submitted papers to the IEA/AIE-99. Ibrahim F. Imam Yves Kodratoff Ayman El-Dessouki Moonis Ali May 1999 The 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99 Le Meridien Cairo, Cairo, Egypt, May 31- June 3, 1999 Sponsored by: International Society of Applied Intelligence Organized in Cooperation with: AAAI, ACM/SIGART, CSCSI, IEE, INNS, JSAI, SWT General Chair Moonis Ali, Southwest Texas State University, USA Program Chairs Ayman El-Dessouki, Electronics Research Institute, Egypt Ibrahim F. Imam, Thinking Machines Corporation, USA Yves Kodratoff, Université Paris Sud, France Organizing Committee Ashraf H. Abdel-Wahab, Electronics Research Institute, Egypt Nihal Y. Abosaif, Harvard University, USA & Cairo University, Egypt Moonis Ali, Southwest Texas State University, USA Vladan Devedzic, University of Belgrade, Yugoslavia Ayman El-Dessouki, Electronics Research Institute, Egypt Howard Hamilton, University of Regina, Canada Ibrahim F. Imam, Thinking Machines Corporation, USA Maged F. Imam, Cairo University, Egypt Yves Kodratoff, Université Paris Sud, France Cheryl Morriss, Southwest Texas State University, USA Gholamreza Nakhaeizadeh, Daimler-Benz AG, Germany Michael Schroeder, City University, UK Alaa F. Sheta, Electronics Research Institute, Egypt Jan Treur, Vrije Universiteit, The Netherlands Local Committee Local Chair: Ashraf H. abdel Wahab, Electronics Research Institute, Egypt Publicity Chair: Alaa F. Sheta, Electronics Research Institute, Egypt Maged F. Imam, Cairo University, Egypt Registration Chair: Cheryl Morriss, Southwest Texas State University, USA Organization IX Program Committee Frank D. Anger, National Science Foundation, USA Grigoris Antoniou, Griffith University, Australia Osman Badr, Ain Shams University, Egypt Senen Barro Ameneiro, University Santiago de Comp, Spain Kai H. Chang, Auburn University, USA Luca Chittaro, University di Udine, Italy Roger Debreceny, Nanyang Technological University, Singapore Robert Engels, University of Karlsruhe, Germany Ibrahim Farag, Cairo University, Egypt Klaus Fischer, DFKI GmbH, Germany Hans W. Guesgen, University of Auckland, New Zealand Howard Hamilton, University of Regina, Canada Gerard Lacey, Trin. College Dublin, Ireland David Leake, Indiana University, USA Manton Matthews, University of South Carolina, USA Richard B. Modjeski, Florida Institute of Technology, USA L. Monostori, Hungarian Academy of Sciences, Hungary Angel P. del Pobil, Jaume-I University, Spain Don Potter, University of Georgia, USA Gokul C. Prabhakar, Bell Laboratories, USA Claude Sammut, University of New South Wales, Australia Samir I. Shaheen, Cairo University, Egypt Ron Sun, University of Alabama, USA Jan Treur, Vrije Universiteit Amsterdam, The Netherlands Yasushi Umeda, University of Tokyo, Japan Gerhard Widmer, Austrian Research Institute, Austria Mike Wooldridge, Queen Mary & Westfield College, UK Auxiliary Reviewers Alberto Bugarin, Universidade de Santiago de Compostela, Spain Purificacion Carinena, Universidade de Santiago de Compostela, Spain Maria J. Carreira, Universidade de Santiago de Compostela, Spain Mohamed S. El Sherif, Electronics Research Institute, Egypt Paulo Felix, Universidade de Santiago de Compostela, Spain Roberto Iglesias, Universidade de Santiago de Compostela, Spain Samia Mashali, Electronics Research Institute, Egypt Rajkumar Thirumalainambi, University of Auckland, New Zealand
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