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Hybrid Artificial Intelligence Systems

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

  • Emilio Corchado
  • Manuel Graña Romay
  • Alexandre Manhaes Savio
Conference proceedings HAIS 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6077)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6077)

Table of contents

  1. Cliff Joslyn, Emilie Hogan
    Pages 399-409
  2. Darya Chyzyk, Maite Termenon, Alexandre Savio
    Pages 429-435
  3. Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, Jose M. Molina
    Pages 436-443
  4. Sara Rodríguez, Belén Pérez-Lancho, Javier Bajo, Carolina Zato, Juan M. Corchado
    Pages 444-451
  5. Lauro Snidaro, Ingrid Visentini, Gian Luca Foresti
    Pages 452-459
  6. Enrique Martí, Jesús García, Jose Manuel Molina
    Pages 460-467
  7. Ana M. Bernardos, Eva Madrazo, José R. Casar
    Pages 468-477
  8. Noelia Oses, Matej Hoffmann, Randal A. Koene
    Pages 478-485
  9. Zorana Banković, Elena Romero, Javier Blesa, José M. Moya, David Fraga, Juan Carlos Vallejo et al.
    Pages 486-492
  10. Jorge Garcia-Gutierrez, Daniel Mateos-Garcia, Jose C. Riquelme-Santos
    Pages 493-500
  11. Bruno Baruque, Emilio Corchado
    Pages 501-509
  12. Cristian Pinzón, Álvaro Herrero, Juan F. De Paz, Emilio Corchado, Javier Bajo
    Pages 510-519
  13. Back Matter

Other volumes

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

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • Emilio Corchado
    • 1
  • Manuel Graña Romay
    • 2
  • Alexandre Manhaes Savio
    • 2
  1. 1.Universidad de SalamancaSpain
  2. 2.Facultad de informatica UPV/EHUSan SebastianSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13803-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13802-7
  • Online ISBN 978-3-642-13803-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site