Hybrid Artificial Intelligent Systems, Part I

1. Front Matter

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2. Y-Means: An Autonomous Clustering Algorithm

   • Ali A. Ghorbani, Iosif-Viorel Onut

   Pages 1-13

3. A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications

   • James Llinas

   Pages 14-23

4. A Regular Tetrahedron Formation Strategy for Swarm Robots in Three-Dimensional Environment

   • M. Fikret Ercan, Xiang Li, Ximing Liang

   Pages 24-31

5. Markovian Ants in a Queuing System

   • Ilija Tanackov, Dragan Simić, Siniša Sremac, Jovan Tepić, Sunčica Kocić-Tanackov

   Pages 32-39

6. A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization

   • J. F. Jimenez, F. J. Cuevas, J. H. Sossa, L. E. Gomez

   Pages 40-47

7. Automatic PSO-Based Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy

   • Haroun Djaghloul, Mohammed Batouche, Jean-Pierre Jessel

   Pages 48-55

8. A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization

   • Hajira Jabeen, Abdul Rauf Baig

   Pages 56-63

9. Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies

   • Andrés Muñoz, Juan A. Botía

   Pages 64-72

10. Linked Multicomponent Robotic Systems: Basic Assessment of Linking Element Dynamical Effect

    • Borja Fernandez-Gauna, Jose Manuel Lopez-Guede, Ekaitz Zulueta

    Pages 73-79

11. Social Simulation for AmI Systems Engineering

    • Teresa Garcia-Valverde, Emilio Serrano, Juan A. Botia

    Pages 80-87

12. Automatic Behavior Pattern Classification for Social Robots

    • Abraham Prieto, Francisco Bellas, Pilar Caamaño, Richard J. Duro

    Pages 88-95

13. Healthcare Information Fusion Using Context-Aware Agents

    • Dante I. Tapia, Juan A. Fraile, Ana de Luis, Javier Bajo

    Pages 96-103

14. Multivariate Discretization for Associative Classification in a Sparse Data Application Domain

    • María N. Moreno García, Joel Pinho Lucas, Vivian F. López Batista, M. José Polo Martín

    Pages 104-111

15. Recognition of Turkish Vowels by Probabilistic Neural Networks Using Yule-Walker AR Method

    • Erdem Yavuz, Vedat Topuz

    Pages 112-119

16. A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition

    • Olivier Pauplin, Jianmin Jiang

    Pages 120-127

17. A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications

    • Piyabute Fuangkhon, Thitipong Tanprasert

    Pages 128-135

18. The Abnormal vs. Normal ECG Classification Based on Key Features and Statistical Learning

    • Jun Dong, Jia-fei Tong, Xia Liu

    Pages 136-143

19. Classification of Wood Pulp Fibre Cross-Sectional Shapes

    • Asuka Yamakawa, Gary Chinga-Carrasco

    Pages 144-151

20. A Hybrid Cluster-Lift Method for the Analysis of Research Activities

    • Boris Mirkin, Susana Nascimento, Trevor Fenner, Luís Moniz Pereira

    Pages 152-161

th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.

• Evolution
• HAIS
• Scheduling
• agents
• artificial neural network
• case-based reasoning
• classification
• genetic programming
• hybrid algorithms
• hybrid reasoning
• knowledge discovery
• lattice theory
• multi-agent system
• robot
• semantic web
• algorithm analysis and problem complexity

• Facultad de informatica UPV/EHU, San Sebastian, Spain

  Manuel Graña Romay, M. Teresa Garcia Sebastian

• Universidad de Salamanca, Spain

  Emilio Corchado

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