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MICAI 2006: Advances in Artificial Intelligence

5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Alexander Gelbukh

    1. Center for Computing Research, National Polytechnic Institute, Mexico City, México

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  2. Carlos Alberto Reyes-Garcia

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4293)

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

Included in the following conference series:

Conference proceedings info: MICAI 2006.

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Table of contents (117 papers)

  1. Front Matter

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  2. Artificial Intelligence Arrives to the 21st Century

    1. Artificial Intelligence Arrives to the 21st Century

      • Adolfo Guzman-Arenas
      Pages 1-14

  3. Knowledge Representation and Reasoning

    1. Properties of Markovian Subgraphs of a Decomposable Graph

      • Sung-Ho Kim
      Pages 15-26

    2. Pre-conceptual Schema: A Conceptual-Graph-Like Knowledge Representation for Requirements Elicitation

      • Carlos Mario Zapata Jaramillo, Alexander Gelbukh, Fernando Arango Isaza
      Pages 27-37

    3. A Recognition-Inference Procedure for a Knowledge Representation Scheme Based on Fuzzy Petri Nets

      • Slobodan Ribarić, Nikola Pavešić
      Pages 38-48

    4. Inference Scheme for Order-Sorted Logic Using Noun Phrases with Variables as Sorts

      • Masaki Kitano, Seikoh Nishita, Tsutomu Ishikawa
      Pages 49-58

    5. Answer Set General Theories and Preferences

      • Mauricio Osorio, Claudia Zepeda
      Pages 59-69

    6. A Framework for the E-R Computational Creativity Model

      • Rodrigo García, Pablo Gervás, Raquel Hervás, Rafael Pérez y Pérez, Fernando ArÃmbula
      Pages 70-80

  4. Fuzzy Logic and Fuzzy Control

    1. First-Order Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems

      • Gerardo M. Mendez, Luis Adolfo Leduc
      Pages 81-89

    2. Fuzzy State Estimation of Discrete Event Systems

      • Juan Carlos González-Castolo, Ernesto López-Mellado
      Pages 90-100

    3. Real-Time Adaptive Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot

      • Wolfgang Freund, Tomas Arredondo Vidal, César Muñoz, Nicolás Navarro, Fernando Quirós
      Pages 101-111

    4. Fuzzy-Based Adaptive Threshold Determining Method for the Interleaved Authentication in Sensor Networks

      • Hae Young Lee, Tae Ho Cho
      Pages 112-121

    5. A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level

      • Cuauhtemoc Lopez-Martin, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
      Pages 122-133

    6. Reconfigurable Networked Fuzzy Takagi Sugeno Control for Magnetic Levitation Case Study

      • P. Quiñones-Reyes, H. Benítez-Pérez, F. Cárdenas-Flores, F. García-Nocetti
      Pages 134-145

    7. Automatic Estimation of the Fusion Method Parameters to Reduce Rule Base of Fuzzy Control Complex Systems

      • Yulia Nikolaevna Ledeneva, Carlos Alberto Reyes García, José Antonio Calderón Martínez
      Pages 146-155

    8. A Fault Detection System Design for Uncertain T-S Fuzzy Systems

      • Seog-Hwan Yoo, Byung-Jae Choi
      Pages 156-164

  5. Uncertainty and Qualitative Reasoning

    1. An Uncertainty Model for a Diagnostic Expert System Based on Fuzzy Algebras of Strict Monotonic Operations

      • Leonid Sheremetov, Ildar Batyrshin, Denis Filatov, Jorge Martínez-Muñoz
      Pages 165-175

    2. A Connectionist Fuzzy Case-Based Reasoning Model

      • Yanet Rodriguez, Maria M. Garcia, Bernard De Baets, Carlos Morell, Rafael Bello
      Pages 176-185

    3. Error Bounds Between Marginal Probabilities and Beliefs of Loopy Belief Propagation Algorithm

      • Nobuyuki Taga, Shigeru Mase
      Pages 186-196

    4. Applications of Gibbs Measure Theory to Loopy Belief Propagation Algorithm

      • Nobuyuki Taga, Shigeru Mase
      Pages 197-207
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  1. MICAI 2006: Advances in Artificial Intelligence

Keywords

About this book

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.

Editors and Affiliations

  • 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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