Intelligent Problem Solving. Methodologies and Approaches

1. Expert Systems I

   1. Expert Systems and Mathematical Optimization Approaches on Physical Layout Optimization Problems

      • Julio C. G. Pimentel, Yosef Gavriel, Éber A. Schmitz

      Pages 168-173

2. Diagnosis I

   1. Locating Bugs in Java Programs — First Results of the Java Diagnosis Experiments Project

      • Cristinel Mateis, Markus Stumptner, Franz Wotawa

      Pages 174-183

   2. Application of a Real-Time Expert System for Fault Diagnosis

      • Chr. Angeli

      Pages 184-191

   3. Operative Diagnosis Algorithms for Single-Fault in Graph-Based Systems

      • Mourad Elhadef, Béchir El Ayeb, Nageswara S. V. Rao

      Pages 192-197

   4. On a Model-Based Diagnosis for Synchronous Boolean Network

      • Satoshi Hiratsuka, Akira Fusaoka

      Pages 198-204

   5. DermatExpert: Dermatological Diagnosis through the Internet

      • Hans W. Guesgen, Jeong Seon Koo

      Pages 204-209

3. Best Papers

   1. Aerial Spray Deposition Management Using the Genetic Algorithm

      • W. D. Potter, W. Bi, D. Twardus, H. Thistle, M. J. Twery, J. Ghent et al.

      Pages 210-219

   2. Dynamic Data Mining

      • Vijay Raghavan, Alaaeldin Hafez

      Pages 220-229

4. Information Systems I

   1. Knowledge-Intensive Gathering and Integration of Statistical Information on European Fisheries

      • Mike Klinkert, Jan Treur, Tim Verwaart

      Pages 230-235

   2. Using a Semantic Model and XML for Document Annotation

      • Bogdan D. Czejdo, Cezary Sobaniec

      Pages 236-241

   3. Understanding Support of Group in Web Collaborative Learning, Based on Divergence among Different Answering Processes

      • Tomoko Kojiri, Toyohide Watanabe

      Pages 242-249

5. Fuzzy Logic and Its Applications

   1. Fuzzy Modeling Approach for Integrated Assessments Using Cultural Theory

      • Adnan Yazici, Fred E. Petry, Curt Pendergraft

      Pages 250-260

   2. Fuzzy Knowledge-Based System for Performing Conflation in Geographical Information Systems

      • Harold Foley, Fred Petry

      Pages 260-269

   3. Modeling of, and Reasoning with Recurrent Events with Imprecise Durations

      • Stanislav Kurkovsky, Rasiah Loganantharaj

      Pages 272-283

   4. Linguistic Approximation and Semantic Adjustment in the Modeling Process

      • Eric Fimbel

      Pages 284-289

   5. A Fuzzy Inference Algorithm for Lithology Analysis in Formation Evaluation

      • Hujun Li, Fansheng Li, Andrew H. Sung, William W. Weiss

      Pages 290-295

6. Intelligent Agents II

   1. Approximating the 0–1 Multiple Knapsack Problem with Agent Decomposition and Market Negotiation

      • Brent A. Smolinski

      Pages 296-306

   2. Design and Development of Autonomous Intelligence Smart Sensors

      • R. Kolluru, R. Loganantharaj, S. Smith, P. Bayyapu, G. LaBauve, James Spencer et al.

      Pages 306-315

   3. ADDGEO: An Intelligent Agent to Assist Geologist Finding Petroleum in Offshore Lands

      • Ana Cristina Bicharra Garcia, Paula Marisa Maciel, Inhaúma Neves Ferraz

      Pages 316-321

   4. SOMulANT: Organizing Information Using Multiple Agents

      • Tim Hendtlass

      Pages 322-327

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.

• AI applications
• Artificial intelligence
• evolutionary algorithm
• expert system
• expert systems
• information system
• information systems
• intelligence
• knowledge discovery
• modeling
• neural computation
• neural network
• optimization
• pattern recognition
• proving

• 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

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