MICAI 2006: Advances in Artificial Intelligence

1. Front Matter

   PDF

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

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

Policies and ethics