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Intelligent Problem Solving. Methodologies and Approaches

13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 New Orleans, Louisiana, USA, June 19-22, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Rasiah Logananthara

    1. The Center for Advanced Computer Studies, University of Lousiana, Lafayette, USA

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  2. Günther Palm

    1. Department of Neural Information Processing, University of Ulm, Ulm, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Moonis Ali

    1. Department of Computer Science, Southwest Texas State University, San Marcos, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1821)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (90 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Keynote Presentation

    1. Multisensor Data Fusion

      • Pramod K. Varshney
      Pages 1-3

  3. Intelligent Agents I

    1. Implementing Multi-party Agent Conversations

      • Christos Stergiou, Jeremy Pitt, Frank Guerin, Alexander Artikis
      Pages 4-13

    2. Agreement and Coalition Formation in Multiagent-Based Virtual Marketplaces

      • Luís Brito, José Neves
      Pages 14-23

    3. A Framework for the Development of Cooperative Configuration Agents

      • A. Felfernig, G. Friedrich, D. Jannach, M. Zanker
      Pages 24-33

    4. Java-Based Distributed Intelligent Agent Architecture for Building Safety-Critical Tele-Inspection Systems on the Internet

      • Jae-Chul Moon, Soon-Ju Kang, Nam-Seog Park
      Pages 34-45

  4. Artificial Neural Network I

    1. The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal

      • Simon Feraday, Chris Harris, Kihong Shin, Mike Brennan, Malcolm Lindsay
      Pages 46-55

    2. Towards an Estimation Aid for Nuclear Power Plant Refuelling Operations

      • J. A. Steele, L. A. Martin, A. Moyes, S. D. J. McArthur, J. R. McDonald, D. Young et al.
      Pages 56-67

    3. Drilling Performance Prediction Using General Regression Neural Networks

      • V. Karri
      Pages 67-73

    4. Identifying Significant Parameters for Hall-Heroult Process Using General Regression Neural Networks

      • F. Frost, V. Karri
      Pages 73-78

  5. Data Mining I

    1. Mapping Object-Oriented Systems to Distributed Systems Using Data Mining Techniques

      • Miguel A. Serrano, Doris L. Carver, Carlos Montes de Oca
      Pages 79-84

    2. Scaling the Data Mining Step in Knowledge Discovery Using Oceanographic Data

      • Bruce Wooley, Susan Bridges, Julia Hodges, Anthony Skjellum
      Pages 85-92

    3. Information Management and Process Improvement Using Data Mining Techniques

      • Gibbons W M, Ranta M, Scott T M, Mantyla M
      Pages 93-98

  7. Expert Systems I

    1. Maintenance of KBS’s by Domain Experts

      • Arne Bultman, Joris Kuipers, Frank van Harmelen
      Pages 139-149

    2. A Simulation-Based Procedure for Expert System Evaluation

      • Chunsheng Yang, Kuniji Kose, Sieu Phan, Pikuei Kuo
      Pages 149-160

    3. Gas Circulator Design Advisory System: A Web Based Decision Support System for the Nuclear Industry

      • J. Menal, A. Moyes, S. McArthur, J. A. Steele, J. McDonald
      Pages 160-167
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Keywords

About this book

The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.

Editors and Affiliations

  • The Center for Advanced Computer Studies, University of Lousiana, Lafayette, USA

    Rasiah Logananthara

  • Department of Neural Information Processing, University of Ulm, Ulm, Germany

    Günther Palm

  • Department of Computer Science, Southwest Texas State University, San Marcos, USA

    Moonis Ali

Bibliographic Information

  • Book Title: Intelligent Problem Solving. Methodologies and Approaches

  • Book Subtitle: 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 New Orleans, Louisiana, USA, June 19-22, 2000 Proceedings

  • Editors: Rasiah Logananthara, Günther Palm, Moonis Ali

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45049-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Softcover ISBN: 978-3-540-67689-8Published: 07 June 2000

  • eBook ISBN: 978-3-540-45049-8Published: 31 July 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 754

  • Topics: Artificial Intelligence

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