Intelligence Science Lab
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|
Knowledge discovery platform,such as SAS, SPSS, MSMiner
3. Semantic grid and knowledge grid
4. Autonomic computing
Self-management computing systems with a minimum of human interference.
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.
|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.
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.