Table of contents

  1. Front Matter
    Pages I-XV
  2. Hybrid Artificial Intelligence Systems

    1. Ajith Abraham
      Pages XVI-XVI
  3. Agents and Multiagent Systems

    1. Guillermo Vigueras, Jorge J. Gómez, Juan A. Botía, Juan Pavón
      Pages 9-16
    2. Francisco Grimaldo, Miguel Lozano, Fernando Barber
      Pages 17-24
    3. Juan F. de Paz, Sara Rodríguez, Juan M. Sánchez, Ana de Luis, Juan M. Corchado
      Pages 25-32
    4. Camelia Chira, Camelia-M. Pintea, D. Dumitrescu
      Pages 33-39
  4. Fuzzy Systems

    1. Samer Hassan, Luis Garmendia, Juan Pavón
      Pages 40-47
    2. Javier Grande, María del Rosario Suárez, José Ramón Villar
      Pages 56-63
    3. Gerardo M. Mendez, Ma. De Los Angeles Hernandez
      Pages 64-71
    4. Alberto Tellaeche, Xavier-P. BurgosArtizzu, Gonzalo Pajares, Angela Ribeiro
      Pages 72-79
  5. Artificial Neural Networks

    1. Paul Trundle, Daniel Neagu, Marian Craciun, Qasim Chaudhry
      Pages 80-87
    2. P. A. Gutiérrez, C. Hervás, M. Carbonero, J. C. Fernández
      Pages 88-95
    3. Lluís A. Belanche Muñoz
      Pages 96-103
    4. José Antonio Martín H., Matilde Santos, Andrés García, Javier de Lope
      Pages 104-111
    5. G. Corral, E. Armengol, A. Fornells, E. Golobardes
      Pages 112-119
    6. Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
      Pages 120-127
  6. Clustering and Multiclassfier Systems

    1. Enrique Domínguez, José Muñoz
      Pages 128-135
    2. Antonio Augusto Chaves, Francisco de Assis Correa, Luiz Antonio N. Lorena
      Pages 136-143

About this book


Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain. This carefully edited book provides a comprehensive overview of the recent advances in the hybrid intelligent systems and covers a wide range of application areas, including data analysis and data mining, intelligent control, pattern recognition, robotics, optimization, etc. The book is aimed at researchers, practitioners and postgraduate students who are engaged in developing and applying advanced intelligent systems principles to solving real-world problems.


Artificial Intelligence Hybrid Intelligent Systems Soft Computing autonom bioinformatics cognition data analysis genetic algorithms intelligence machine learning metaheuristic modeling programming robot robotics

Editors and affiliations

  • Emilio Corchado
    • 1
  • Juan M. Corchado
    • 2
  • Ajith Abraham
    • 3
  1. 1.Escuela Politécnica Superior Campus Vena, Edifico CUniversidad de BurgosBurgosSpain
  2. 2.Departamento de Informática y Automática Facultad de CienciasUniversidad de SalamancaSalamancaSpain
  3. 3.Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of ExcellenceNorwegian University of Science and TechnologyTrondheimNorway

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences