IEEE Intelligent Systems is a bimonthly publication of the IEEE Computer Society that provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product.

IEEE Intelligent Systems emphasizes current practice and experience and promising new ideas that will likely see use in the near future. We welcome articles on topics across the spectrum of related work. Example topics include

    Knowledge-based systems
    Intelligent software agents
    Natural language processing
    Knowledge management
    Machine learning
    Data mining
    Adaptive and intelligent robotics
    The Semantic Web
    Social issues relevant to intelligent systems