Hybrid Artificial Intelligence Systems

1. Front Matter

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2. Invited Talks

   1. Data Mining: Algorithms and Problems

      • Xindong Wu

      Pages 1-1

   2. Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective

      • Bogdan Gabrys

      Pages 2-3

   3. Design of Experiments in Computational Intelligence: On the Use of Statistical Inference

      • Salvador García, Francisco Herrera

      Pages 4-14

   4. Nonlinear Principal Manifolds – Adaptive Hybrid Learning Approaches

      • Hujun Yin

      Pages 15-29

3. Agents and Multi-agent Systems

   1. Multi-agent ERA Model Based on Belief Interaction Solves Wireless Sensor Networks Routing Problem

      • Yanbin Liu, Chunguang Zhou, Kangping Wang, Dan Li, Dongwei Guo

      Pages 30-37

   2. Multi-agent System for Management and Monitoring of Routes Surveillance

      • Sara Rodríguez, Javier Bajo

      Pages 38-45

   3. Classification Agent-Based Techniques for Detecting Intrusions in Databases

      • Cristian Pinzón, Yanira De Paz, Rosa Cano

      Pages 46-53

   4. Hybrid Multi-Agent Architecture (HoCa) Applied to the Control and Supervision of Patients in Their Homes

      • Juan A. Fraile, Dante I. Tapia, Miguel A. Sánchez

      Pages 54-61

   5. JADE/LEAP Agents in an Aml Domain

      • Nayat Sánchez-Pi, Javier Carbó, José Manuel Molina

      Pages 62-69

   6. Design Patterns for Combining Social and Individual Intelligences on Modular-Based Agents

      • Bianca Innocenti, Beatriz López, Joaquim Salvi

      Pages 70-77

   7. Experiments in Multi Agent Learning

      • Maria Cruz Gaya, J. Ignacio Giraldez

      Pages 78-85

   8. Agent-Based Simulation of Business Processes in a Virtual World

      • Branislav Bošanský, Cyril Brom

      Pages 86-94

   9. Temporal-Bounded CBR for the Management of Commitments in RT-Agents

      • Marti Navarro, Stella Heras, Vicente Botti, Vicente Julián

      Pages 95-102

4. Evolutionary Computation

   1. A Constrained Dynamic Evolutionary Algorithm with Adaptive Penalty Coefficient

      • Bo Xiao, Danpin Yu, Lei Zhang, Xin Tian, Song Gao, Sanyou Zeng

      Pages 103-112

   2. Enhanced Cooperative Co-evolution Genetic Algorithm for Rule-Based Pattern Classification

      • Fangming Zhu, Sheng-Uei Guan

      Pages 113-123

   3. Learning User Profile with Genetic Algorithm in AmI Applications

      • Verónica Venturini, Javier Carbó, José M. Molina

      Pages 124-131

   4. Unsupervised Genetic Algorithm Deployed for Intrusion Detection

      • Zorana Banković, Slobodan Bojanić, Octavio Nieto, Atta Badii

      Pages 132-139

   5. Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm

      • Elisabet Parras-Gutierrez, Víctor M. Rivas, Maria Jose del Jesus

      Pages 140-147

   6. Hybrid Multi-population Collaborative Asynchronous Search

      • Anca Gog, Camelia Chira, D. Dumitrescu

      Pages 148-155

The Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) presented the most recent developments in the dynamically expanding realm of symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques. Hybrid intelligent systems have become incre- ingly popular given their capabilities to handle a broad spectrum of real-world c- plex problems which come with inherent imprecision, uncertainty and vagueness, high-dimensionality, and non stationarity. These systems provide us with the oppor- nity to exploit existing domain knowledge as well as raw data to come up with prom- ing solutions in an effective manner. Being truly multidisciplinary, the series of HAIS workshops offers a unique research forum to present and discuss the latest theoretical advances and real-world applications in this exciting research field. This volume of Lecture Notes on Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2008 held in University of Burgos, Burgos, Spain, Sept- ber 2008 The global purpose of HAIS conferences has been to form a broad and interdis- plinary forum for hybrid artificial intelligence systems and associated learning pa- digms, which are playing increasingly important roles in a large number of application areas. Since its first edition in Brazil in 2006, HAIS has become an important forum for researchers working on fundamental and theoretical aspects of hybrid artificial intel- gence systems based on the use of agents and multiagent systems, bioinformatics and bio-inspired models, fuzzy systems, artificial vision, artificial neural networks, opti- zation models and alike.

• algorithms
• artificial intelligence
• bioinformatics
• classification
• cluster analysis
• fuzzy
• image analysis
• intelligence
• intelligent systems
• learning
• multi-agent system
• optimization
• robot
• uncertainty
• algorithm analysis and problem complexity

• Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Burgos, Spain

  Emilio Corchado

• Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Trondheim, Norway

  Ajith Abraham

• Department of Electrical and Computer Engineering, University of Alberta, Edmonton,, Alberta, Canada

  Witold Pedrycz

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