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International Conference on Intelligence Science

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Presentation on theme: "International Conference on Intelligence Science"— Presentation transcript:

1 International Conference on Intelligence Science
An Interdisciplinary Subject Zhongzhi Shi Institute of Computing Technology Chinese Academy of Sciences

2 Zhongzhi Shi Intelligence Science
Contents Outline Introduction Intelligence Science CAM Model Brain-Like Intelligence Perspectives 2018/9/18 Zhongzhi Shi Intelligence Science

3 Zhongzhi Shi Intelligence Science
Human Dream ? There are three revolutions with impact in the human history, the tool-making revolution, agricultural revolution and industrial revolution What is the next revolution? It is the intelligence. 2018/9/18 Zhongzhi Shi Intelligence Science

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Human Brain Project On Jan. 28, 2013 the Human Brain Project has been officially selected as one of the European Commission’s two FET Flagship projects. The Human Brain Project is planned to last ten years ( ). The cost is estimated at 1.19 billion euros. It will be coordinated at  EPFL in Switzerland, by neuroscientist Henry Markram etc. Henry Markram 2018/9/18 Zhongzhi Shi Intelligence Science

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Human Brain Project 2018/9/18 Zhongzhi Shi Intelligence Science

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USA: BRAIN Initiative In 2014, the US National Institutes of Health (NIH) presented a ten-year plan for the agency's portion of a major neuroscience initiative announced last year by President Barack Obama. But the plan's recommended budget of US$4.5 billion over ten years. 2018/9/18 Zhongzhi Shi Intelligence Science

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Estimated Budget 2018/9/18 Zhongzhi Shi Intelligence Science

8 Solving Fundamental Problems In Neuroscience
2018/9/18 Zhongzhi Shi Intelligence Science

9 IBM Brain-Like Computing
2018/9/18 Zhongzhi Shi Intelligence Science

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Human-Level AI   The long-term goal of Artificial Intelligence is human-level Artificial Intelligence. John McCarthy. From here to human-level AI. Artificial Intelligence 171 (2007) 1174–1182. 2018/9/18 Zhongzhi Shi Intelligence Science

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Contents Outline Introduction Intelligence Science CAM Model Brain-Like Intelligence Perspectives 2018/9/18 Zhongzhi Shi Intelligence Science

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2018/9/18 Intelligence Science Intelligence science is an interdisciplinary subject on basic theory and technology of intelligence, mainly including brain science, cognitive science, artificial intelligence and others.    2006 2012 2013 2018/9/18 Zhongzhi Shi Intelligence Science

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NN 1 10-00 Intelligence Science 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. Artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology Brain Science Hardware Molecular Cognitive Science Software Cognition Artificial Intelligence Simulation Behavior 2018/9/18 Zhongzhi Shi Intelligence Science Elene Marchiori

14 Intelligence Science Website
2018/9/18 Zhongzhi Shi Intelligence Science

15 Series on Intelligence Science
World Scientific Publishing will publish Series on Intelligence Science. Prof. Zhongzhi Shi is the Editor-in-Chief. Special Advisors: Marvin Minsky (USA)      Shun-ichi Amari (Japan) Wenjun Wu (China) Lotfi A. Zadeh (USA)   2018/9/18 Zhongzhi Shi Intelligence Science

16 International Journal of Intelligence Science
2018/9/18 International Journal of Intelligence Science 2018/9/18 Zhongzhi Shi Intelligence Science

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Big Issues Signaling in the Nervous System Perceptual Representation Coding and Retrieval of Memory Learning Emergence Linguistic Cognition Thinking Intelligence Development Emotion Consciousness Mind Model 2018/9/18 Zhongzhi Shi Intelligence Science

18 Nervous System 2018/9/18 The brain is a network of neuron, and the connection among the neuron depends on synapse. The receptors and ion channels in the neuronal membrane are very crucial for controlling neuron excitability, regulating synapse function and the dynamic balance of various neurotransmitter and ion. Understanding the structure of brain's neural network and the formation mechanism is the basis of brain 2018/9/18 史忠植 智能科学

19 Perceptual Representation
2018/9/18 Perceptual Representation Perception is the process of people's sensation and awareness of objective things. Sensation is the human brain reflection of objective things’ individual attribute that directly act on the sense organs. 2018/9/18 史忠植 智能科学

20 Coding and Retrieval of Memory
2018/9/18 Coding and Retrieval of Memory Memory is past experience. It can produce accurate internal representation in brain, and extract, utilize them correctly, efficiently. Memory involves the acquisition, storage and extraction of information, which determines the synergy of different brain regions. 2018/9/18 史忠植 智能科学

21 Learning Emergence 2018/9/18 Learning is a basic cognitive activity, an accumulation of experience and knowledge, but also the process of grasping and understanding front-back relation outside in order to improve the performance of system behavior. Learning theory is the research and interpretation of learning essence, learning process, learning rule and the various constraint conditions of learning. 2018/9/18 史忠植 智能科学

22 Linguistic Cognition 2018/9/18 Language is a system composed of pronunciation as shell, vocabulary as material, and grammar as rule. Language is usually divided into two categories, spoken language and written language. The form of spoken language is the voice while the expression of written language is the figure. Spoken language is far more ancient than written language, and individual learn spoken language first, then written language. 2018/9/18 史忠植 智能科学

23 2018/9/18 Thinking Thought is a conscious human brain’s self-conscious, indirect and general reflection on the essence and internal regularity of objective reality, showing through implicit or explicit language or action. The main form of human thought includes: Abstract(logic) thought, Image(intuitive) thought, Perception thought Inspiration(insight) thought. 2018/9/18 史忠植 智能科学

24 Intelligence Development
2018/9/18 Intelligence Development Human's intelligence is not innate, but a process of formation and development. Piaget created intellectual development theory with the core of intellectual development stage theory. 2018/9/18 史忠植 智能科学

25 Emotion 2018/9/18 Emotions are complex. According to some theories, they are a state of feeling that results in physical and psychological changes that influence our behavior. The physiology of emotion is closely linked to arousal of the nervous system with various states and strengths of arousal relating, apparently, to particular emotions. Emotion is also linked to behavioral tendency. 2018/9/18 史忠植 智能科学

26 Consciousness 2018/9/18 Consciousness is the core problem of intelligent science. <Science> 2005 Question 2: What Is the Biological Basis of Consciousness? The cognitive principle of consciousness The neurobiology basis of consciousness Information processing of consciousness Unconsciousness 2018/9/18 史忠植 智能科学

27 Mind Model 2018/9/18 Mind is all of human being spiritual activities, including emotion, will, feeling, perception, image, learning, memory, thought, intuition and so on. The technology of establishing mind model is often called the mind modeling, with purpose of exploring and studying the mechanism of human's thought in some ways, especially the human information processing mechanism   SOAR   ACT-R 2018/9/18 史忠植 智能科学

28 Zhongzhi Shi Intelligence Science
Contents Outline Introduction Intelligence Science CAM Model Brain-Like Intelligence Perspectives 2018/9/18 Zhongzhi Shi Intelligence Science

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Mind Model Computational approaches of brain-like intelligence are used to model how the mind works and to understand the working mechanism of the mind. Newell described the human mind as a solution to a set of functional constraints. 2018/9/18 Zhongzhi Shi Intelligence Science

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Mind Model Flexible behavior Adaptive behavior Real-time performance Operate in environment Symbols, Natural language, Learning, Development Autonomous Consciousness Neural system Embryological growth Evolution 2018/9/18 Zhongzhi Shi Intelligence Science

31 Zhongzhi Shi CAM System
Mind Computation 1. Introduction 2. Mind Model CAM 3. Memory 4. Consciousness 5. Visual Awareness 6. Motor Control 7. Linguistic Cognition 8. Learning 9. Brain-like Computing Complexity could be a problem 2018/9/18 Zhongzhi Shi CAM System

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Architecture of CAM 2018/9/18 Zhongzhi Shi Intelligence Science

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Memory Working memory: It includes the central executive, visuospatial sketch pad, phonological loop and episodic buffer. Short-term memory: Stores agent’s beliefs, goals and intention contents Long-term memory: Contains semantic, episodic and procedural knowledge. 2018/9/18 Zhongzhi Shi Intelligence Science

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Memory 2018/9/18 Zhongzhi Shi Intelligence Science

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Consciousness Consciousness: Focus is on Global Workspace Theory, Awareness, Motivation Model, Attention, Introspective Learning and Meta-cognition in CAM 2018/9/18 Zhongzhi Shi Intelligence Science

36 High-Level Cognitive Functions
Language Thinking Learning 2018/9/18 Zhongzhi Shi Intelligence Science

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Sensory Visual module: From lateral geniculate nucleus (LGN) neuron send their signals through V1,V2, V3 and V4 and onward to many areas of the temporal lobe. Hearing module: From ear, to the brainstem, to subcortical nuclei, and to cortex.. Touch module: Touch is the general term of mechanical stimulation such as contact, sliding, pressure and so on. Smell module: The sense of smell is a kind of feeling. It is involved in the sensory system of the two sensory system, the olfactory nerve system and the nasal trigeminal nerve system. Sensory buffers: Each of the classical senses is believed to have a brief storage ability called a sensory buffer. 2018/9/18 Zhongzhi Shi Intelligence Science

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Sensory Touch Smell Hearning Vision 2018/9/18 Zhongzhi Shi Intelligence Science

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Motor Action Action selection: First is atomic action selection, i.e., select related atomic action from action library. Then selected atomic actions are composed together using a planning strategy. Response output: The motor hierarchy begins with general goals. 2018/9/18 Zhongzhi Shi Intelligence Science

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Contents Outline Introduction Intelligence Science CAM Model Brain-Like Intelligence Perspectives 2018/9/18 Zhongzhi Shi Intelligence Science

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Artificial Brain 2018/9/18 Zhongzhi Shi Intelligence Science

42 Brain-Like Intelligence
2018/9/18 Zhongzhi Shi Intelligence Science

43 Artificial Brain Motor Cognitive Functions Consciousness Memory
Perception Motor

44 Rat Cyborgs

45 Brain-Machine Integration
Control Motor Decoding Feedback Sensory Encoding Adaption Learning Robot Biosensory 2018/9/18 Zhongzhi Shi Motivation System

46 ABGP Model For Multi-Agent Collaboration

47 Driven Brain LTM Motivation STM L & T Quote from Deyi Li’s report
Sensors STM L & T Quote from Deyi Li’s report

48 Deep Learning

49 Intelligent Robot

50 Zhongzhi Shi Intelligence Science
Contents Outline Introduction Intelligence Science CAM Model Brain-Like Intelligence Perspectives 2018/9/18 Zhongzhi Shi Intelligence Science

51 Perspectives  Intelligence Science is a road to Human-
level Intelligence Mind model CAM is a general framework for brain-like intelligence Construct CAM-based artificial brain for intelligent systems 2018/9/18 Zhongzhi Shi CAM

52 Thank You! 谢谢! Question?
Intelligence Science: 2018/9/18 史忠植 云计算海量数据挖掘结题验收


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