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Intelligent  Info Processing

IntSci Group
£­ Zhongzhi Shi
£­ Bo An
IntSci Research
Intelligent Systems
Intelligent Applications
Research Directions
1. Intelligent agent

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

  • 2. Knowledge discovery, Data mining and Machine learning

  • Algoritms: Case-based learning, Bayesian network, Support vector machine, Rough set, Fuzzy set, Associate rules, Evolutional learning
  • Perceptral learning
  • Knowledge discovery platform MSMiner

  • 3. Knowledge Grid

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

  • 4. 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

  • 5. 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.

    6. Intelligent decision system

  • Intelligent Decision System Platform
  • Expert system tool OKPS
  • Group Intelligent Decision System Platform

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