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Intelligent  Info Processing

Intelligence Science Lab
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Intelligent Technology
      Intelligent technology is various approach and means which use  knowledge to reach concrete purpose in efficiency. At the present there are following important intelligent technology:

1. Agent technology

  • Cognitive model for rational agent
  • Coordination strategies for multiagent
  • Agent-oriented software engineering
  • Multiagent environment MAGE

  • 2. Machine learning and data mining
  • Algoritms: Case-based learning, Bayesian network, Support vector machine, Rough set, Fuzzy set, Associate rules, Evolutional learning
  • Perceptral learning
  • Knowledge discovery platform,such as SAS, SPSS,  MSMiner

  • 3. Semantic grid and knowledge grid

  • Knowledge model
  • Communication model
  • Knowledge aquisition
  • Knowledge organization
  • Service Management

  • 4. Autonomic computing

         Self-management computing systems with a minimum of human interference.

  • Self-configure
  • Self-heal
  • Self-optimize
  • Self-protect

  • 5. Cognitive informatics

    Cognitive informatics studies intelligent behaviour using computing technology in terms of updated research efforts and progresses of brain science and neural science. We can view it as a branch of cognitive science.

  • Learning
  • Memory
  • Language
  • Thought

  • 6. Neural computing

         Neural computing studies on the essence and capacity of information processing with nonprogramming, adaptive and brain paradigm. Different areas in the brain perform different functionally significant tasks. Information geometry emerged from studies of the intrinsic structure of the manifold of probability distributions and is applicable to a wide variety of information systems. Information geometry provides a new tool for neural computing.

    7. Global Consciousness

         The Global Consciousness Project, also called the EGG Project, is an international and multidisciplinary collaboration of scientists, engineers, artists and others. This website introduces methods and technology and empirical results in one section, and presents interpretations and applications in another.

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