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MICAI 2007: Advances in Artificial Intelligence

6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Alexander Gelbukh
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  2. Ángel Fernando Kuri Morales
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4827)

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

Included in the following conference series:

Conference proceedings info: MICAI 2007.

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Table of contents (116 papers)

  1. Front Matter

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  2. Computational Intelligence

    1. Implementing Knowledge Update Sequences

      • Juan C. Acosta Guadarrama
      Pages 1-8

    2. Generalized Fuzzy Operations for Digital Hardware Implementation

      • Ildar Batyrshin, Antonio Hernández Zavala, Oscar Camacho Nieto, Luis Villa Vargas
      Pages 9-18

    3. A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor

      • Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello
      Pages 19-29

    4. A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach

      • Ramiro Serrato Paniagua, Juan J. Flores Romero, Carlos A. Coello Coello
      Pages 30-40

    5. Handling Constraints in Particle Swarm Optimization Using a Small Population Size

      • Juan C. Fuentes Cabrera, Carlos A. Coello Coello
      Pages 41-51

    6. Collective Methods on Flock Traffic Navigation Based on Negotiation

      • Carlos Astengo-Noguez, Gildardo Sánchez-Ante
      Pages 52-60

    7. A New Global Optimization Algorithm Inspired by Parliamentary Political Competitions

      • Ali Borji
      Pages 61-71

    8. Discovering Promising Regions to Help Global Numerical Optimization Algorithms

      • Vinícius V. de Melo, Alexandre C. B. Delbem, Dorival L. Pinto Júnior, Fernando M. Federson
      Pages 72-82

    9. Clustering Search Approach for the Traveling Tournament Problem

      • Fabrício Lacerda Biajoli, Luiz Antonio Nogueira Lorena
      Pages 83-93

    10. Stationary Fokker – Planck Learning for the Optimization of Parameters in Nonlinear Models

      • Dexmont Peña, Ricardo Sánchez, Arturo Berrones
      Pages 94-104

    11. From Horn Strong Backdoor Sets to Ordered Strong Backdoor Sets

      • Lionel Paris, Richard Ostrowski, Pierre Siegel, Lakhdar Saïs
      Pages 105-117

    12. G–Indicator: An M–Ary Quality Indicator for the Evaluation of Non–dominated Sets

      • Giovanni Lizárraga, Arturo Hernández, Salvador Botello
      Pages 118-127

    13. Approximating the ε-Efficient Set of an MOP with Stochastic Search Algorithms

      • Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi
      Pages 128-138

    14. A Multicriterion SDSS for the Space Process Control: Towards a Hybrid Approach

      • Hamdadou Djamila, Bouamrane Karim
      Pages 139-149

  3. Neural Networks

    1. Radial Basis Function Neural Network Based on Order Statistics

      • Jose A. Moreno-Escobar, Francisco J. Gallegos-Funes, Volodymyr Ponomaryov, Jose M. de-la-Rosa-Vazquez
      Pages 150-160

    2. Temperature Cycling on Simulated Annealing for Neural Network Learning

      • Sergio Ledesma, Miguel Torres, Donato Hernández, Gabriel Aviña, Guadalupe García
      Pages 161-171

    3. On Conditions for Intermittent Search in Self-organizing Neural Networks

      • Peter Tiňo
      Pages 172-181

    4. Similarity Clustering of Music Files According to User Preference

      • Bastian Tenbergen
      Pages 182-192

    5. Complete Recall on Alpha-Beta Heteroassociative Memory

      • Israel Román-Godínez, Cornelio Yáñez-Márquez
      Pages 193-202
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  1. MICAI 2007: Advances in Artificial Intelligence

Keywords

About this book

Artificial Intelligence is a branch of computer science that studies heuristic methods of solving complex problems. Historically the first such tasks modeled human intellectual activity: reasoning, learning, seeing and speaking. Later similar methods were extended to super-complex optimization problems that appear in science, social life and industry. Many methods of Artificial Intelligence are borrowed from nature, where there occur similar super-complex problems such as those related to survival, development, and behavior of living organisms. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vol. 1793, 2313, 2972, 3789, and 4293. Since its foundation in 2000, the conference has shown a stable growth in popularity (see Figures 1 and 3) and improvement in quality (see Fig. 2). The 25% acceptance rate milestone was passed for the first time this year.

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