|
IntSci Group |
|
|
|
|
IntSci Research |
|
|
|
|
Intelligent Systems |
|
|
|
|
Intelligent Applications |
£
Agent Grid Intelligece PlatformAGrIP |
|
|
|
|
|
|
|
|
Search IntSci.ac.cn |
 |
| |
|
¡¡ |
|
Intelligence Science Research |
|
Intelligence Science is a cross discipline which dedicates to joint
research on basic theory and technology of intelligent behavior by Brain Science, Cognitive Science,
Artificial Intelligence and others. Brain Science explores the essence of brain, research on the principle
and model of natural intelligence in molecular, cell and behavior level. Cognitive Science studies
human mental activity, such as perception, learning, memory, thinking, consciousness etc.
In order to implement machine intelligence, Artificial Intelligence attempts simulation,
extension and expansion of human intelligence using artificial methodology and technology.
Above three disciplines work together to explore new concept, new theory, new methodology.
It will be successful and create a brilliant future in 21 century.
The purpose of establishing the forum is providing a space to exchange ideas and information.
|
|
Research Topics
|
|
1.
Basic process of neural activity
2. Perception process and representation of brain
3.
Synaptic plasticity and information processing of memory procedure
4. Information processing of learning
5. Cognitive mechanism of language
6. Cognitive mechanism of thought
7. Development of intelligence
8. Brain imaging databases
9. Emotion system
10. Immune system
11. Consciousness
12. Artificial brain
|
|
1. Basic process of neural activity
Neuron signal generation and transmission.
Neurotransmitters.
Waves of neural activity.
Synchronous neural activity.
Molecular neural science
Top of the page
2.
Perception process and representation of brain
Computational model of perception.
Representation of early vision.
Essence of selective attention.
Brain imaging.
Top of the page
3.
Synaptic plasticity and information processing of memory procedure
A brain has distributed memory system, that is, each part of brain has several types
of memories that work in somewhat different ways, to suit particular purposes.
According to the stored time of contents memory can be divided into long term memory,
short term memory and working memory. Research topics in memory exist coding, extract
and retrieval of information. Current working memory attracts more researchers to involve.
Synaptic plasticity.
Perception memory.
Episodic and semantic memory.
Working memory.
Chunk theory.
Top of the page
4. Information processing of learning
Learning is the basic cognitive activity and accumulation procedure of
experience and knowledge. Through learning the system performance will be
improved. Perceptual learning, cognitive learning, implicit learning are active
research topics in the learning area.
Perceptual learning.
Cognitive learning.
Implicit learning.
Learning emergence.
Top of the page
5.
Cognitive mechanism of language
Language is fundamentally a means for social communication. Through language
we organize our sensory experience and express our thoughts, feelings,
and expectations. Language is particular interesting from cognitive informatics
point of view because its specific and localized organization can explore the
functional architecture of the dominant hemisphere of the brain.
Cognitive mechanism of language.
Relationship between sound, figure, meaning for Chinese.
Language computational theory.
Top of the page
6.
Cognitive mechanism of thought
Thought is a reflection of essential attributes and internal laws of objective
reality in conscious, indirect and generalization by human brain with consciousness.
Cognitive process rises man's sense perceptions and impressions to logical knowledge.
According to abstraction degree of cognitive process, human thought can be divided
into three levels: perception thought, image thought and abstraction thought.
A hierarchical model of thought which illustrates the characteristics and
correlations of thought levels has been proposed by Zhongzhi Shi.
Computational model of thought.
Relationship between thought and perception.
Sympolic and subsympolic processing.
Reasoning procedure and logic.
Theory of multiple intelligence.
Top of the page
7.
Development of intelligence
Jean Piaget's theory of development.
Vygotsky's theory.
Autonimic development of intelligence.
Top of the page
8. Brain imaging databases
Database structure for Chinese brain imaging.
Brain imaging technology.
Brain module and map.
Dynamic trace, presentation and storage for brain information processing.
Functional Magnetic Resonance imaging study.
Top of the page
9. Emotion system
Research on emotion at varying levels of abstraction (e.g., agent architectures vs. single phenomena),
using different computational methods (e.g., connectionist vs. symbolic), addressing different
emotional phenomena (e.g., emotions as heuristics used in planning vs. psychopathology),
and basing their models on different theories of affect (e.g., cognitive appraisal theory and
primacy of cognition vs. tight coupling between cognition and affect with no process
having a dominant status).
Top of the page
10. Immune system
The natural immune system is a complex adaptive pattern-recognition system that
defends the body from foreign pathogens. The immune system has evolved two mechanisms:
Innate (nonspecific) immunity and
Adaptive (specific) immunity.
Two kinds of responses:
Primary immune response:
launch a response to invading pathogens.
Secondary immune response:
Remember past encounters and Faster response the second time around
Top of the page
11. Consciousness
What is consciousness?
Neural correlate of consciousness.
Consciousness model.
Active mode and receptive mode of consciousness.
Imaging position of Consciousness.
Top of the page
12. Artificial brain
Artificial neural network based approach.
Intelligent agent based approach.
Digital and analogy mixtural approach.
Biological device based approach.
Top of the page
|
¡¡ | |
|
