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Computer Science - Artificial Intelligence | New Generation Computing (Editorial Board)

New Generation Computing

New Generation Computing

Main editor: Masami Hagiya

ISSN: 0288-3635 (print version)
ISSN: 1882-7055 (electronic version)

Journal no. 354

Masami Hagiya, Univ. of Tokyo (Japan)

Associate Editor
Kazunori Ueda, waseda Univ. (Japan)

Area Editors
Biocomputing: Akihiko Konagaya, Tokyo Institute of Technology (Japan)
Programming and Semantics: Ichiro Hasuo, Univ. of Tokyo (Japan)
Social Computing: Yutaka Matsuo, Univ. of Tokyo (Japan)
Cognitive Computing: Toyoaki Nishida, Kyoto Univ. (Japan)
Data Mining: Hendrik Blockeel, Katholieke Univ. Leuven (Belgium)
Learning: Masayuki Numao, Osaka Univ. (Japan)

Editorial Board
Noboru. Babaguchi, Osaka Univ. (Japan)
Wray Buntine, Helsinki Institute of Information Technology (Finland)
František Čapkovič, Slovak Academy of Sciences (Slovakia)
Luc De Raedt, Albert-Ludwigs Univ. (Germany)
Joao Gama, Univ. of Porto (Portugal)
Robert Glück, Univ. of Copenhagen (Denmark)
Shigeki Goto, Waseda Univ. (Japan)
Teruo Higashino, Osaka Univ. (Japan)
Hung-Hsuan Huang, Ritsumeikan Univ. (Japan)
Ryutaro Ichise, National Institute of Informatics (Japan)
Kazuo Iwama, Kyoto Univ. (Japan)
Kristian Kersting, Fraunhofer/Univ. Of Bonn (Germany)
Nada Lavrac, Josef Stefan Institute (Slovenia)
Yasser Mohammad, Kyoto Univ. / Assiut Univ. (Japan / Egypt)
Raymond J. Mooney, Univ. of Texas at Austin (USA)
Keiichi Nakata, Univ. of Reading (UK)
Shojiro Nishio, Osaka Univ. (Japan)
Claude Sammut, Univ. of New South Wales (Autralia)
Ken Satoh, National Institute of Informatics (Japan)
Gert Smolka, Saarland Univ. (Germany)
Janusz Sobecki, Wroclaw Univ. of Technology (Poland)
Jiro Tanaka, Univ. of Tsukuba (Japan)
Pascal Van Hentenryck, The Univ. of Melbourne (Australia)
Takashi Washio, Osaka Univ. (Japan)
Seiji Yamada, National Institute of Informatics (Japan)
Masayuki Yamamura, Tokyo Institute of Technology (Japan)

Advisory Board
Maurice Bruynooghe, Katholieke Univ. of Leuven (Belgium)
Takashi Chikayama, Univ.of Tokyo (Japan)
Koichi Furukawa, Kaetsu Univ. (Japan)
Shinichi Honiden, National Institute of Informatics (Japan)
Susumu Kunifuji, JAIST (Japan)
Pat Langley, Carnegie Mellon Univ. (USA)
Ugo Montanari, Univ. of Pisa (Italy)
Taisuke Sato, Tokyo Institute of Technology (Japan)
Yoav Shoham, Stanford Univ. (USA)
Hidehiko Tanaka, Institute of Information Security (Japan)



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For authors and editors

  • Journal Citation Reports®, Thomson Reuters
    2013 Impact Factor
  • 0.594
  • Aims and Scope

    Aims and Scope


    The journal is specially intended to support the development of new computational paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems and agent-oriented systems.

    It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems.

    The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.

    Major Fields

    Biocomputing: Molecular Robotics, Synthetic Biology, Artificial Cell, DNA Nano-engineering, Molecular Computing, Self-organizing Systems, Modeling and Simulation for Biocomputing, Image Processing and Visualization for Biocomputing, Control Theory and Systems for Biocomputing

    Programming and Semantics: Foundations and Models of Computation, Computational Logic, Programming Systems, Declarative Programming, Concurrency and Parallelism, Quantum Computing

    Social Computing: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems

    Cognitive Computing: Modeling Human Problem Solving and Learning, Modeling Human Communication, Interactive Systems, Data-intensive Approach to Cognitive Computing, Integration and Application of Cognitive Computing, Evaluation Methodology

    Data Mining: Sequence and Stream Mining, Graph and Network Mining, Relational Data Mining, Data Mining Languages, Data Privacy

    Learning: Foundations and Models of Learning, Computational Learning Theory, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning, Human Learning, Intelligent Tutoring Systems, Machine Learning with Humans

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  • English Language Editing

    English Language Editing


  • Author Academy: Training for Authors
  • Copyright information

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