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New Generation Computing

New Generation Computing

Editor-in-Chief: Masayuki Numao

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

Journal no. 354

Masayuki Numao, Osaka University, Japan

Associate Editor-in-Chief
Yutaka Matsuo, The University of Tokyo, Japan

Area Editors
Ayumi Shinohara, Tohoku University, Japan
Data Mining
Kouzou Ohara, Aoyama Gakuin University, Japan
Cognitive Computing
Ryutaro Ichise, National Institute of Informatics, Japan
Programming and Semantics
Ichiro Hasuo, National Institute of Informatics, Japan
Control Theory of Bio- and Nano-systems
Shinnosuke Seki, The University of Electro-Communications, Japan
Bio/Nano/Molecular Computing and Engineering
Satoshi Murata, Tohoku University, Japan
Skill Science and Philosophy
Masaki Suwa, Keio University, Japan
Computational Social Science
Fujio Toriumi, The University of Tokyo, Japan

Editorial Board
Noboru Babaguchi, Osaka University, Japan
Wray Buntine, Helsinki Institute of Information Technology, Finland
František Cˇapkovicˇ, Slovak Academy of Sciences, Slovakia
Luc De Raedt, Katholieke University Leuven, Belgium
Joao Gama, University of Porto, Portugal
Robert Glück, University of Copenhagen, Denmark
Shigeki Goto, Waseda University, Japan
Teruo Higashino, Osaka University, Japan
Hung-Hsuan Huang, Ritsumeikan University, Japan
Kazuo Iwama, Kyoto University, Japan
Kristian Kersting, Fraunhofer/University of Bonn, Germany
Nada Lavrac, Josef Stefan Institute, Slovenia
Yasser Mohammad, Kyoto University/Assiut University, Japan/Egypt
Raymond J. Mooney, University of Texas at Austin, USA
Keiichi Nakata, University of Reading, UK
Shojiro Nishio, Osaka University, Japan
Claude Sammut, University of New South Wales, Australia
Ken Satoh, National Institute of Informatics, Japan
Gert Smolka, Saarland University, Germany
Janusz Sobecki, Wroclaw University of Technology, Poland
Jiro Tanaka, Waseda University, Japan
Pascal Van Hentenryck, The University of Melbourne, Australia
Takashi Washio, Osaka University, Japan
Seiji Yamada, National Institute of Informatics, Japan
Masayuki Yamamura, Tokyo Institute of Technology, Japan
Ken-ichi Fukui, Osaka University, Japan
Shohei Usui, The University of Tokyo, Japan
Eiji Aramaki, NAIST, Japan
Ryo Yoshinaka, Tohoku University, Japan
Kohei Hatano, Kyushu University, Japan
Tomonobu Ozaki, Nihon University, Japan
Akihiro Inokuchi, Kwansei Gakuin University, Japan
Toshiharu Hatanaka, Osaka University, Japan
Naoki Fukuta, Shizuoka University, Japan

Advisory Board
Maurice Bruynooghe, Katholieke University of Leuven, Belgium
Takashi Chikayama, The University of Tokyo, Japan
Masami Hagiya, The University of Tokyo, Japan
Shinichi Honiden, National Institute of Informatics, Japan
Zhenjiang Hu, National Institute of Informatics, Japan
Akihiko Konagaya, Tokyo Institute of Technology, Japan
Susumu Kunifuji, JAIST, Japan
Pat Langley, Institute for the Study of Learning and Expertise, USA
Ugo Montanari, University of Pisa, Italy
Toyoaki Nishida, Kyoto University, Japan
Taisuke Sato, Tokyo Institute of Technology, Japan
Yoav Shoham, Stanford University, USA
Hidehiko Tanaka, Institute of Information Security, Japan
Kazunori Ueda, Waseda University, Japan

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For authors and editors

  • Journal Citation Reports®
    2018 Impact Factor
  • 0.833
  • Aims and Scope

    Aims and Scope


    The journal is specially intended to support the development of new computational and cognitive 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, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, 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.


    Learning: Foundations and Models of Learning, Computational Learning Theory, Grammatical Inference, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning

    Data Mining: Frequent pattern mining, Stream Data Mining, Graph and Network mining, Relational Data Mining, Text and Web Mining, Statistical methods for Data Mining, Machine learning methods for Data Mining, Visualization methods for Data Mining

    Cognitive Computing: Modeling Human Knowledge, Modeling Human Problem Solving and Learning, Semantic Computing, Modeling and Analyzing Decision Making, Cognitive Architecture, Artificial General Intelligence, Human Level AI.

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

    Control Theory of Bio- and Nano-systems: Formal Models of Molecular Systems, Computation by Token-based Systems, Non-Boolean Representations of Signals in Nature, Cellular Automata Based on Mechanisms Found in Nature.

    Bio/Nano/Molecular Computing and Engineering: Molecular Robotics & Artificial Cells, DNA Nanoengineering, Molecular Computing/Programming, Self-organizing Systems.

    Skill Science and Philosophy: Skills and Knowledge in Life, Communication and Social Skills, Learning of Embodied Skills and Knowledge, “Kansei" and Value Creation, Sports Science, Measurement and Analysis of Body Movements, Systems Theory of Body, Cognitive Approach of Skill Science, Subjective Verbalization of Proprioceptive Sense, Co-evolution of Body and Language, Symbol Grounding, Symbol Generation

    Computational Social Science: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems, Social Simulation, Virtual Lab

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  • Call for papers (Special issues)

    New Generation Computing: Call for Papers


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