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Computer Science - Artificial Intelligence | New Generation Computing

New Generation Computing

New Generation Computing

Main editor: Masami Hagiya

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

Journal no. 354

  • Supports the development of new computational paradigms stemming from the cross-fertilization of various research fields, from programming to agent-oriented systems.
  • Presents theoretical and practical papers that cover all types of learning, knowledge discovery, evolutionary mechanisms, and emergent systems that can lead to key technologies that enable the building of more complex and intelligent systems.

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.

Major fields covered in New Generation Computing, include:

  • Biocomputing
  • Programming and Semantics
  • Social Computing
  • Cognitive Computing
  • Data Mining
  • Learning

Related subjects » Artificial Intelligence - Communication Networks - Hardware - Software Engineering

Impact Factor: 0.594 (2013) * 

Journal Citation Reports®, Thomson Reuters

Abstracted/Indexed in 

Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO, Academic OneFile, Academic Search, ACM Digital Library, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, EI-Compendex, Gale, io-port.net, MLA International Bibliography, OCLC, SCImago, STMA-Z, Summon by ProQuest

Copublisher/ Distribution Rights 

Co-publication with Ohmsha, Ltd., Tokyo, Japan.

Ohmsha

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

    Aims and Scope

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    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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