© 2010

Hybrid Artificial Intelligence Systems

5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I

  • Manuel Graña Romay
  • Emilio Corchado
  • M. Teresa Garcia Sebastian
Conference proceedings HAIS 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6076)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6076)

Table of contents

  1. Front Matter
  2. Ali A. Ghorbani, Iosif-Viorel Onut
    Pages 1-13
  3. Ilija Tanackov, Dragan Simić, Siniša Sremac, Jovan Tepić, Sunčica Kocić-Tanackov
    Pages 32-39
  4. Haroun Djaghloul, Mohammed Batouche, Jean-Pierre Jessel
    Pages 48-55
  5. Borja Fernandez-Gauna, Jose Manuel Lopez-Guede, Ekaitz Zulueta
    Pages 73-79
  6. Teresa Garcia-Valverde, Emilio Serrano, Juan A. Botia
    Pages 80-87
  7. Abraham Prieto, Francisco Bellas, Pilar Caamaño, Richard J. Duro
    Pages 88-95
  8. Dante I. Tapia, Juan A. Fraile, Ana de Luis, Javier Bajo
    Pages 96-103
  9. María N. Moreno García, Joel Pinho Lucas, Vivian F. López Batista, M. José Polo Martín
    Pages 104-111
  10. Asuka Yamakawa, Gary Chinga-Carrasco
    Pages 144-151
  11. Boris Mirkin, Susana Nascimento, Trevor Fenner, Luís Moniz Pereira
    Pages 152-161

Other volumes

  1. Hybrid Artificial Intelligence Systems
    5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I
  2. 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II

About these proceedings


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

Editors and affiliations

  • Manuel Graña Romay
    • 1
  • Emilio Corchado
    • 2
  • M. Teresa Garcia Sebastian
    • 1
  1. 1.Facultad de informatica UPV/EHUSan SebastianSpain
  2. 2.Universidad de SalamancaSpain

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