Hybrid Artificial Intelligent Systems, Part II

1. A Functional Taxonomy for Artifacts

   • Sergio Esparcia, Estefanía Argente

   Pages 159-167

2. A Case-Based Reasoning Approach for Norm Adaptation

   • Jordi Campos, Maite López-Sánchez, Marc Esteva

   Pages 168-176

3. An Abstract Argumentation Framework for Supporting Agreements in Agent Societies

   • Stella Heras, Vicente Botti, Vicente Julián

   Pages 177-184

4. Reaching a Common Agreement Discourse Universe on Multi-Agent Planning

   • Alejandro Torreño, Eva Onaindia, Oscar Sapena

   Pages 185-192

5. Integrating Information Extraction Agents into a Tourism Recommender System

   • Sergio Esparcia, Víctor Sánchez-Anguix, Estefanía Argente, Ana García-Fornes, Vicente Julián

   Pages 193-200

6. Adaptive Hybrid Immune Detector Maturation Algorithm

   • Jungan Chen, Wenxin Chen, Feng Liang

   Pages 201-208

7. Interactive Visualization Applets for Modular Exponentiation Using Addition Chains

   • Hatem M. Bahig, Yasser Kotb

   Pages 209-216

8. Multimedia Elements in a Hybrid Multi-Agent System for the Analysis of Web Usability

   • E. Mosqueira-Rey, B. Baldonedo del Río, D. Alonso-Ríos, E. Rodríguez-Poch, D. Prado-Gesto

   Pages 217-224

9. An Approach for an AVC to SVC Transcoder with Temporal Scalability

   • Rosario Garrido-Cantos, José Luis Martínez, Pedro Cuenca, Antonio Garrido

   Pages 225-232

10. A GPU-Based DVC to H.264/AVC Transcoder

    • Alberto Corrales-García, Rafael Rodríguez-Sánchez, José Luis Martínez, Gerardo Fernández-Escribano, José M. Claver, José Luis Sánchez

    Pages 233-240

11. Hybrid Color Space Transformation to Visualize Color Constancy

    • Ramón Moreno, José Manuel López-Guede, Alicia d’Anjou

    Pages 241-247

12. A Novel Hybrid Approach to Improve Performance of Frequency Division Duplex Systems with Linear Precoding

    • Paula M. Castro, José A. García-Naya, Daniel Iglesia, Adriana Dapena

    Pages 248-255

13. Low Bit-Rate Video Coding with 3D Lower Trees (3D-LTW)

    • Otoniel López, Miguel Martínez-Rach, Pablo Piñol, Manuel P. Malumbres, José Oliver

    Pages 256-263

14. Color Video Segmentation by Dissimilarity Based on Edges

    • Lucía Ramos, Jorge Novo, José Rouco, Antonio Mosquera, Manuel G. Penedo

    Pages 264-271

15. Label Dependent Evolutionary Feature Weighting for Remote Sensing Data

    • Daniel Mateos-García, Jorge García-Gutiérrez, José C. Riquelme-Santos

    Pages 272-279

16. Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification

    • F. Fernández-Navarro, C. Hervás-Martínez, P. A. Gutiérrez, M. Cruz-Ramírez, M. Carbonero-Ruz

    Pages 280-287

17. Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification

    • Javier Sánchez-Monedero, C. Hervás-Martínez, F. J. Martínez-Estudillo, Mariano Carbonero Ruz, M. C. Ramírez Moreno, M. Cruz-Ramírez

    Pages 288-295

18. An Hybrid System for Continuous Learning

    • Aldo Franco Dragoni, Germano Vallesi, Paola Baldassarri, Mauro Mazzieri

    Pages 296-303

19. Support Vector Regression Algorithms in the Forecasting of Daily Maximums of Tropospheric Ozone Concentration in Madrid

    • E. G. Ortiz-García, S. Salcedo-Sanz, A. M. Pérez-Bellido, J. Gascón-Moreno, A. Portilla-Figueras

    Pages 304-311

20. Neuronal Implementation of Predictive Controllers

    • José Manuel López-Guede, Ekaitz Zulueta, Borja Fernández-Gauna

    Pages 312-319

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.

• Argumentation
• H.264
• HAIS
• Multimedia
• bioinformatics
• cognition
• data mining
• fuzzy system
• genetic programming
• hybrid algorithms
• hybrid reasoning
• knowledge discovery
• lattice theory
• multi-agent system
• neural network
• algorithm analysis and problem complexity

• Universidad de Salamanca, Spain

  Emilio Corchado

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

  Manuel Graña Romay, Alexandre Manhaes Savio

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