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Innovations in Hybrid Intelligent Systems

  • Book
  • © 2007

Overview

Editors:
  1. Emilio Corchado

    1. Escuela Politécnica Superior Campus Vena, Edifico C, Universidad de Burgos, Burgos, Spain

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  2. Juan M. Corchado

    1. Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

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  3. Ajith Abraham

    1. Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of Excellence, Norwegian University of Science and Technology, Trondheim, Norway

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  • Proceedings of the Hybrid Artificial Intelligence Systems Workshop (HAIS 07 – CAEPIA 2007)
  • Recent developments in Hybrid Intelligent Systems

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 44)

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Table of contents (63 chapters)

  1. Front Matter

    Pages I-XV
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  2. Hybrid Artificial Intelligence Systems

    1. Hybrid Artificial Intelligence Systems

      • Ajith Abraham
      Pages XVI-XVI

  3. Agents and Multiagent Systems

    1. Analysis of Emergent Properties in a Hybrid Bio-inspired Architecture for Cognitive Agents

      • Oscar J. Romero, Angélica de Antonio
      Pages 1-8

    2. Using Semantic Causality Graphs to Validate MAS Models

      • Guillermo Vigueras, Jorge J. Gómez, Juan A. Botía, Juan Pavón
      Pages 9-16

    3. A Multiagent Framework to Animate Socially Intelligent Agents

      • Francisco Grimaldo, Miguel Lozano, Fernando Barber
      Pages 17-24

    4. Context Aware Hybrid Agents on Automated Dynamic Environments

      • Juan F. de Paz, Sara Rodríguez, Juan M. Sánchez, Ana de Luis, Juan M. Corchado
      Pages 25-32

    5. Sensitive Stigmergic Agent Systems — A Hybrid Approach to Combinatorial Optimization

      • Camelia Chira, Camelia-M. Pintea, D. Dumitrescu
      Pages 33-39

  4. Fuzzy Systems

    1. Agent-Based Social Modeling and Simulation with Fuzzy Sets

      • Samer Hassan, Luis Garmendia, Juan Pavón
      Pages 40-47

    2. Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier

      • Robert Burduk
      Pages 48-55

    3. A Feature Selection Method Using a Fuzzy Mutual Information Measure

      • Javier Grande, María del Rosario Suárez, José Ramón Villar
      Pages 56-63

    4. Interval Type-2 ANFIS

      • Gerardo M. Mendez, Ma. De Los Angeles Hernandez
      Pages 64-71

    5. A Vision-Based Hybrid Classifier for Weeds Detection in Precision Agriculture Through the Bayesian and Fuzzy k-Means Paradigms

      • Alberto Tellaeche, Xavier-P. BurgosArtizzu, Gonzalo Pajares, Angela Ribeiro
      Pages 72-79

  5. Artificial Neural Networks

    1. Development of Multi-output Neural Networks for Data Integration — A Case Study

      • Paul Trundle, Daniel Neagu, Marian Craciun, Qasim Chaudhry
      Pages 80-87

    2. Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks

      • P. A. Gutiérrez, C. Hervás, M. Carbonero, J. C. Fernández
      Pages 88-95

    3. Modeling Heterogeneous Data Sets with Neural Networks

      • Lluís A. Belanche Muñoz
      Pages 96-103

    4. A Computational Model of the Equivalence Class Formation Psychological Phenomenon

      • José Antonio Martín H., Matilde Santos, Andrés García, Javier de Lope
      Pages 104-111

    5. Data Security Analysis Using Unsupervised Learning and Explanations

      • G. Corral, E. Armengol, A. Fornells, E. Golobardes
      Pages 112-119

    6. Finding Optimal Model Parameters by Discrete Grid Search

      • Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
      Pages 120-127

  6. Clustering and Multiclassfier Systems

    1. A Hybrid Algorithm for Solving Clustering Problems

      • Enrique Domínguez, José Muñoz
      Pages 128-135

    2. Clustering Search Heuristic for the Capacitated p-Median Problem

      • Antonio Augusto Chaves, Francisco de Assis Correa, Luiz Antonio N. Lorena
      Pages 136-143
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Keywords

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.

Editors and Affiliations

  • Escuela Politécnica Superior Campus Vena, Edifico C, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  • Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Juan M. Corchado

  • Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of Excellence, Norwegian University of Science and Technology, Trondheim, Norway

    Ajith Abraham

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