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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.

Persistent Link: http://ieeexplore.ieee.org/servlet/opac?punumber=9670 More »

Frequency: 6

ISSN: 1541-1672

Publication Details: IEEE Intelligent Systems

Subjects

  • Computing & Processing
  • Signal Processing & Analysis

Contacts

Editor-in-Chief
Daniel Zeng
University of Arizona
zeng@eller.arizona.edu