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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
  4. Knowledge Representation and Reasoning

    1. Kai-Uwe Kühnberger, Tonio Wandmacher, Angela Schwering, Ekaterina Ovchinnikova, Ulf Krumnack, Helmar Gust et al.
      Pages 203-214
    2. Carlos Mario Zapata, Guillermo González, Alexander Gelbukh
      Pages 215-224
    3. Pilar Pozos Parra, Verónica Borja Macías
      Pages 225-235
    4. Michael Wachter, Rolf Haenni, Marc Pouly
      Pages 236-247
    5. Marc Pouly, Rolf Haenni, Michael Wachter
      Pages 248-259
    6. Juan C. Acosta Guadarrama
      Pages 260-270
    7. Jesús Medina, Manuel Ojeda-Aciego, Jorge Ruiz-Calviño
      Pages 271-282
    8. Mauricio Osorio, Claudia Zepeda
      Pages 283-293
    9. Mauricio Osorio, Juan Carlos Nieves
      Pages 294-304
    10. César L. Alonso, David Alonso, Mar Callau, José Luis Montaña
      Pages 316-326
  5. Agents and Multiagent Systems

    1. Jackeline Spinola de Freitas, Ricardo Imbert, João Queiroz
      Pages 370-380
    2. Sara E. Garza, José Luis Aguirre
      Pages 381-391
  6. Machine Learning and Data Mining

    1. Iván Mejía-Guevara, Ángel Kuri-Morales
      Pages 399-408
    2. Florian Halbritter, Peter Geibel
      Pages 409-419
    3. Octavio Gómez, Eduardo F. Morales, Jesús A. González
      Pages 420-430
    4. Boyan Bonev, Francisco Escolano, Miguel Angel Cazorla
      Pages 431-440
    5. María del Carmen Chávez, Gladys Casas, Rafael Falcón, Jorge E. Moreira, Ricardo Grau
      Pages 441-451
    6. Manuel Mejía-Lavalle, Eduardo F. Morales, Gustavo Arroyo
      Pages 452-461
    7. Jonatan Gomez, Juan Peña-Kaltekis, Nestor Romero-Leon, Elizabeth Leon
      Pages 462-471
    8. Rafael Falcon, Gwanggil Jeon, Rafael Bello, Jechang Jeong
      Pages 483-495
    9. Ádamo L. de Santana, Carlos Renato L. Francês, João C. Weyl Costa
      Pages 496-506
    10. Diego H. Milone, Leandro E. Di Persia
      Pages 518-528

About these proceedings

Introduction

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.

Keywords

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
  • Buy this book on publisher's site