MICAI 2007: Advances in Artificial Intelligence

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

  • Editors
  • Alexander Gelbukh
  • Ángel Fernando Kuri Morales

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4827)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4827)

Table of contents

  1. Front Matter
  2. Computational Intelligence

    1. Juan C. Acosta Guadarrama
      Pages 1-8
    2. Ildar Batyrshin, Antonio Hernández Zavala, Oscar Camacho Nieto, Luis Villa Vargas
      Pages 9-18
    3. Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello
      Pages 19-29
    4. Ramiro Serrato Paniagua, Juan J. Flores Romero, Carlos A. Coello Coello
      Pages 30-40
    5. Juan C. Fuentes Cabrera, Carlos A. Coello Coello
      Pages 41-51
    6. Carlos Astengo-Noguez, Gildardo Sánchez-Ante
      Pages 52-60
    7. Vinícius V. de Melo, Alexandre C. B. Delbem, Dorival L. Pinto Júnior, Fernando M. Federson
      Pages 72-82
    8. Fabrício Lacerda Biajoli, Luiz Antonio Nogueira Lorena
      Pages 83-93
    9. Dexmont Peña, Ricardo Sánchez, Arturo Berrones
      Pages 94-104
    10. Lionel Paris, Richard Ostrowski, Pierre Siegel, Lakhdar Saïs
      Pages 105-117
    11. Giovanni Lizárraga, Arturo Hernández, Salvador Botello
      Pages 118-127
    12. Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi
      Pages 128-138
  3. Neural Networks

    1. Jose A. Moreno-Escobar, Francisco J. Gallegos-Funes, Volodymyr Ponomaryov, Jose M. de-la-Rosa-Vazquez
      Pages 150-160
    2. Sergio Ledesma, Miguel Torres, Donato Hernández, Gabriel Aviña, Guadalupe García
      Pages 161-171
    3. Israel Román-Godínez, Cornelio Yáñez-Márquez
      Pages 193-202

About these proceedings


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.


artificial intelligence bioinformatics computational intelligence computer vision data mining image processing intelligence knowledge knowledge representation learning machine learning neural network robot robotics speech processing

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-76631-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-76630-8
  • Online ISBN 978-3-540-76631-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book