MICAI 2006: Advances in Artificial Intelligence

1. Uncertainty and Qualitative Reasoning

   1. A Contingency Analysis of LeActiveMath’s Learner Model

      • Rafael Morales, Nicolas Van Labeke, Paul Brna

      Pages 208-217

   2. Constructing Virtual Sensors Using Probabilistic Reasoning

      • Pablo H. Ibargüengoytia, Alberto Reyes

      Pages 218-226

   3. Solving Hybrid Markov Decision Processes

      • Alberto Reyes, L. Enrique Sucar, Eduardo F. Morales, Pablo H. Ibargüengoytia

      Pages 227-236

   4. Comparing Fuzzy Naive Bayes and Gaussian Naive Bayes for Decision Making in RoboCup 3D

      • Carlos Bustamante, Leonardo Garrido, Rogelio Soto

      Pages 237-247

   5. Using the Beliefs of Self-Efficacy to Improve the Effectiveness of ITS: An Empirical Study

      • Francine Bica, Regina Verdin, Rosa Vicari

      Pages 248-258

   6. Qualitative Reasoning and Bifurcations in Dynamic Systems

      • Juan J. Flores, Andrzej Proskurowski

      Pages 259-271

2. Evolutionary Algorithms and Swarm Intelligence

   1. Introducing Partitioning Training Set Strategy to Intrinsic Incremental Evolution

      • Jin Wang, Chong Ho Lee

      Pages 272-282

   2. Evolutionary Method for Nonlinear Systems of Equations

      • Crina Grosan, Ajith Abraham, Alexander Gelbukh

      Pages 283-293

   3. A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search

      • Luis V. Santana-Quintero, Noel Ramírez, Carlos Coello Coello

      Pages 294-304

3. Neural Networks

   1. An Interval Approach for Weight’s Initialization of Feedforward Neural Networks

      • Marcela Jamett, Gonzalo Acuña

      Pages 305-315

   2. Aggregating Regressive Estimators: Gradient-Based Neural Network Ensemble

      • Jiang Meng, Kun An

      Pages 316-326

   3. The Adaptive Learning Rates of Extended Kalman Filter Based Training Algorithm for Wavelet Neural Networks

      • Kyoung Joo Kim, Jin Bae Park, Yoon Ho Choi

      Pages 327-337

   4. Multistage Neural Network Metalearning with Application to Foreign Exchange Rates Forecasting

      • Kin Keung Lai, Lean Yu, Wei Huang, Shouyang Wang

      Pages 338-347

   5. Genetic Optimizations for Radial Basis Function and General Regression Neural Networks

      • Gül Yazıcı, Övünç Polat, Tülay Yıldırım

      Pages 348-356

   6. Complexity of Alpha-Beta Bidirectional Associative Memories

      • María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez

      Pages 357-366

   7. A New Bi-directional Associative Memory

      • Roberto A. Vázquez, Humberto Sossa, Beatriz A. Garro

      Pages 367-380

4. Optimization and Scheduling

   1. A Hybrid Ant Algorithm for the Airline Crew Pairing Problem

      • Broderick Crawford, Carlos Castro, Eric Monfroy

      Pages 381-391

   2. A Refined Evaluation Function for the MinLA Problem

      • Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-Jimenez

      Pages 392-403

   3. ILS-Perturbation Based on Local Optima Structure for the QAP Problem

      • Everardo Gutiérrez, Carlos A. Brizuela

      Pages 404-414

   4. Application of Fuzzy Multi-objective Programming Approach to Supply Chain Distribution Network Design Problem

      • Hasan Selim, Irem Ozkarahan

      Pages 415-425

Artificial Intelligence embraces heuristic methods of solving complex problems for which exact algorithmic solutions are not known. Among them are, on the one hand, tasks related to modeling of human intellectual activity such as thinking, learning, seeing, and speaking, and on the other hand, super-complex optimization problems appearing in science, social life, and industry. Many methods of Artificial Intelligence are borrowed from nature where similar super-complex problems occur. This year is special for the Artificial Intelligence community. This year we th celebrate the 50 anniversary of the very term “Artificial Intelligence”, which was first coined in 1956. This year is also very special for the Artificial Intelligence th community in Mexico: it is the 20 anniversary of the Mexican Society for Artificial Intelligence, SMIA, which organizes the MICAI conference series. The series itself also celebrates its own round figure: the fifth event. We can now see that MICAI has reached its maturity, having grown dramatically in size and quality, see Figs. 1 to 3. The proceedings of the previous MICAI events were also published in Springer’s Lecture Notes in Artificial Intelligence (LNAI) series, in volumes 1793, 2313, 2972, and 3789. th This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial Intelligence, held on November 13–17, 2006, at the Technologic Institute of Apizaco, Mexico. The conference received for evaluation 448 submissions by 1207 authors from 42 different countries, see Tables 1 and 2.

• Algorithms
• bioinformatics
• classification
• computer vision
• evolution
• evolutionary algorithm
• image processing
• knowledge discovery
• knowledge representation
• machine learning
• neural network
• optimization
• robotics
• swarm intelligence
• uncertainty

• Center for Computing Research, National Polytechnic Institute, Mexico City, México

  Alexander Gelbukh

• Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, México

  Carlos Alberto Reyes-Garcia

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