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Distributed Computing and Artificial Intelligence, 11th International Conference

  • Sigeru Omatu
  • Hugues Bersini
  • Juan M. Corchado
  • Sara Rodríguez
  • Paweł Pawlewski
  • Edgardo Bucciarelli

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 290)

Table of contents

  1. Eduard Clotet, Dani Martínez, Javier Moreno, Marcel Tresanchez, Tomàs Pallejà, Davinia Font et al.
    Pages 433-440
  2. Miki Ueno, Naoki Mori, Keinosuke Matsumoto
    Pages 459-467
  3. Pedro Luis Galdámez, María Angélica González Arrieta, Miguel Ramón Ramón
    Pages 469-476
  4. Eduardo Munera Sánchez, Manuel Muñoz Alcobendas, Juan L. Posadas Yagüe, Jose-Luis Poza-Luján, J. Francisco Blanes Noguera
    Pages 477-484
  5. William Raveane, María Angélica González Arrieta
    Pages 485-492
  6. Alberto Ochoa, Lourdes Margain, Julio Arreola, Guadalupe Gutiérrez, Geovani García, Fernando Maldonado
    Pages 493-502
  7. Sho Fukuda, Takuya Yoshihiro
    Pages 503-510
  8. Dávila Patrícia Ferreira Cruz, Renato Dourado Maia, Leandro Augusto da Silva, Leandro Nunes de Castro
    Pages 545-552
  9. Na Chang, Mhd Irvan, Takao Terano
    Pages 553-560
  10. Back Matter
    Pages 561-563

About these proceedings

Introduction

The 11th International Symposium on Distributed Computing and Artificial Intelligence 2014 (DCAI 2014) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems.

This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research (Algeria, Brazil, China, Croatia, Czech Republic, Denmark, France, Germany, Ireland, Italy, Japan, Malaysia, Mexico, Poland, Portugal, Republic of Korea, Spain, Taiwan, Tunisia, Ukraine, United Kingdom), representing a truly “wide area network” of research activity. DCAI'14 Special Sessions have been a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Sessions that emphasize on multi-disciplinary and transversal aspects, such as AI-driven methods for Multimodal Networks and Processes Modeling and Multi-Agents Macroeconomics have been especially encouraged and welcome.

This symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group of the University of Salamanca. The present edition was held in Salamanca, Spain, from 4th to 6th June 2014.

Keywords

Artificial Intelligence Computational Intelligence DCAI 11 DCAI11 Distributed Computing Distributed Computing Artificial Intelligence

Editors and affiliations

  • Sigeru Omatu
    • 1
  • Hugues Bersini
    • 2
  • Juan M. Corchado
    • 3
  • Sara Rodríguez
    • 4
  • Paweł Pawlewski
    • 5
  • Edgardo Bucciarelli
    • 6
  1. 1.Faculty of EngineeringOsaka Institute of TechnologyOsakaJapan
  2. 2.Université Libre de BruxellesBruxellesBelgium
  3. 3.Dept. of Computing Science and Control Faculty of ScienceUniversity of SalamancaSalamancaSpain
  4. 4.Department of Computing Science and Control, Faculty of ScienceUniversity of SalamancaSalamancaSpain
  5. 5.Faculty of Engineering ManagementPoznan University of TechnologyPoznanPoland
  6. 6.Dep. PPEQS, Section of Economics and Quantitative MethodsUniversity of Chieti-PescaraPescaraItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07593-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-07592-1
  • Online ISBN 978-3-319-07593-8
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • Buy this book on publisher's site
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