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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
Conference proceedings MICAI 2007

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
    PDF

  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

  4. Knowledge Representation and Reasoning

    1. I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities
      Kai-Uwe Kühnberger, Tonio Wandmacher, Angela Schwering, Ekaterina Ovchinnikova, Ulf Krumnack, Helmar Gust et al.
      Pages 203-214
    2. A Rule-Based System for Assessing Consistency Between UML Models
      Carlos Mario Zapata, Guillermo González, Alexander Gelbukh
      Pages 215-224
    3. Partial Satisfiability-Based Merging
      Pilar Pozos Parra, Verónica Borja Macías
      Pages 225-235
    4. Optimizing Inference in Bayesian Networks and Semiring Valuation Algebras
      Michael Wachter, Rolf Haenni, Marc Pouly
      Pages 236-247
    5. Compiling Solution Configurations in Semiring Valuation Systems
      Marc Pouly, Rolf Haenni, Michael Wachter
      Pages 248-259
    6. Implementing Knowledge Update Sequences
      Juan C. Acosta Guadarrama
      Pages 260-270
    7. On Reachability of Minimal Models of Multilattice-Based Logic Programs
      Jesús Medina, Manuel Ojeda-Aciego, Jorge Ruiz-Calviño
      Pages 271-282
    8. Update Sequences Based on Minimal Generalized Pstable Models
      Mauricio Osorio, Claudia Zepeda
      Pages 283-293
    9. PStable Semantics for Possibilistic Logic Programs
      Mauricio Osorio, Juan Carlos Nieves
      Pages 294-304
    10. Improving Efficiency of Prolog Programs by Fully Automated Unfold/Fold Transformation
      Jiří Vyskočil, Petr Štěpánek
      Pages 305-315
    11. A Word Equation Solver Based on Levensthein Distance
      César L. Alonso, David Alonso, Mar Callau, José Luis Montaña
      Pages 316-326
    12. Simple Model-Based Exploration and Exploitation of Markov Decision Processes Using the Elimination Algorithm
      Elizabeth Novoa
      Pages 327-336
    13. A Simple Model for Assessing Output Uncertainty in Stochastic Simulation Systems
      Tengda Sun, Jinfeng Wang
      Pages 337-347

  5. Agents and Multiagent Systems

    1. An Empirically Terminological Point of View on Agentism in the Artificial
      C. T. A. Schmidt
      Pages 348-358
    2. Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans
      Sławomir Nowaczyk, Jacek Malec
      Pages 359-369
    3. Modeling Emotion-Influenced Social Behavior for Intelligent Virtual Agents
      Jackeline Spinola de Freitas, Ricardo Imbert, João Queiroz
      Pages 370-380
    4. Just-in-Time Monitoring of Project Activities Through Temporal Reasoning
      Sara E. Garza, José Luis Aguirre
      Pages 381-391

  6. Machine Learning and Data Mining

    1. Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation
      Mu Xiangyang, Zhang Taiyi, Zhou Yatong
      Pages 392-398
    2. Evolutionary Feature and Parameter Selection in Support Vector Regression
      Iván Mejía-Guevara, Ángel Kuri-Morales
      Pages 399-408
    3. Learning Models of Relational MDPs Using Graph Kernels
      Florian Halbritter, Peter Geibel
      Pages 409-419
    4. Weighted Instance-Based Learning Using Representative Intervals
      Octavio Gómez, Eduardo F. Morales, Jesús A. González
      Pages 420-430
    5. A Novel Information Theory Method for Filter Feature Selection
      Boyan Bonev, Francisco Escolano, Miguel Angel Cazorla
      Pages 431-440
    6. Building Fine Bayesian Networks Aided by PSO-Based Feature Selection
      María del Carmen Chávez, Gladys Casas, Rafael Falcón, Jorge E. Moreira, Ricardo Grau
      Pages 441-451
    7. Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class
      Manuel Mejía-Lavalle, Eduardo F. Morales, Gustavo Arroyo
      Pages 452-461
    8. INCRAIN: An Incremental Approach for the Gravitational Clustering
      Jonatan Gomez, Juan Peña-Kaltekis, Nestor Romero-Leon, Elizabeth Leon
      Pages 462-471
    9. On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset
      Raúl Cruz-Barbosa, Alfredo Vellido
      Pages 472-482
    10. Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment
      Rafael Falcon, Gwanggil Jeon, Rafael Bello, Jechang Jeong
      Pages 483-495
    11. Algorithm for Graphical Bayesian Modeling Based on Multiple Regressions
      Ádamo L. de Santana, Carlos Renato L. Francês, João C. Weyl Costa
      Pages 496-506
    12. Coordinating Returns Policies and Marketing Plans for Profit Optimization in E-Business Based on a Hybrid Data Mining Process
      Chien-Chih Yu
      Pages 507-517
    13. An EM Algorithm to Learn Sequences in the Wavelet Domain
      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
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