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Hierarchical Learning in AI ,[object Object],[object Object],[object Object],[object Object],[object Object]
Content of whole series ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why hierarchy? ,[object Object],[object Object],[object Object],[object Object]
How to hierarchy? ,[object Object],[object Object],[object Object],[object Object],[object Object]
General Hierarchy Formation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],General Hierarchy Formation Organism Society Automata
General Hierarchy Formation System is in the inner development of one level, for example, form ape to human. System search for favorable position on “niche” space, and the moving progress is called “Evolution”. In this progress, system tends to be more ordered because only more ordered system can have higher  energy-consuming efficiency and win in the competition.  When the structure of system block in the way to higher order, hierarchy will be appeared. In this stage, a new high-level system “bursts out”, such as society organized by human. Under the new organization, the system can have higher energy-consuming efficiency or energy-occupation ability, to further increase its order.
Hierarchical Structure(1) --Organism ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Structure(2) --Society ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Structure(3) --Automata ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Evolution(1) --Organism ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Evolution(2) --Society ,[object Object],1 221BC 10 400BC 140 700BC 800 1000BC 3,000 1600BC 10,000 2000BC
Hierarchical Evolution(3) --Automata ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchy in AI: simulate the nature AI system Immune system Molecule Cell Multi-cell Society Hierarchy Evolution Gene neural network
The way to hierarchy(1): organism Mitosis and amitosis The evolution of neural system Differentiation of Tissue Organ  Isolated specie becomes “living fossil”  Species are generated quicker and quicker Growth of individual; the average body volume increase in evolution The physical freedom of Molecule and cell are decreasing ( less entropy) Organism  Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to in hierarchy(2): Society Culture split, language pedigree ; colonizztion Government and international organization More detailed social  professional work From individual, group, tribe to nation and international society Open society are developed quicker than isolated society The acceleration  in social development Growth of total social economy Organization degree are increasing Society   Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to in hierarchy(3): OS The replication of progress and virus. Central part controls all processes modules in OS are divided more detailedly The SDK of OS is composed by many application API Message and signal between progress Exponential growth of OS size Increase of OS size Process and operating system Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to hierarchy(4): WAN ? Formation of Portal, manage center, service center  More and more different kind of websites WAN, LAN, terminal Protocol and messages Rapid almost exponent growth The extend of network size From unrestricted to be controlled and managed  Wide area network Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to hierarchy(5): NN ? ? From less structured to complex structured, such as layer Group network with complex behavior by neurons Weights ? (evolutionary neural network) After training, input can converge to some attractors Neural Network Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to hierarchy(6): GA Selection , crossover,mutation and new population From individuals to population Fitness  Schema theorem  Genetic Algorithm Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
The way to hierarchy(7): MAS Simple agent and complex agent society Agent Language  Converge to equilibrium point Multi-agent system Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
Hierarchical AI System: Social ,[object Object],[object Object]
Hierarchical AI System: Ecological ,[object Object]
Hierarchical AI System: Self-organization ,[object Object]
Hierarchical AI System: Self-organization(2) Possible system state space in early stage Possible system state space in early stage
Hierarchical AI System: Self-organization(3) limited growth, stable or slow development. break through developing obstacle by hierarchy with higher order but less freedom degree. More efficient in energy using and can use more energy that lower-level system can’t utilize  abundant resource stage , exponential growth Order
Hierarchical AI System: interdisciplinary  ,[object Object]
Hierarchical learning in Neural Network ,[object Object],[object Object],[object Object]
Hierarchical learning in GA ,[object Object],[object Object],[object Object]
Hierarchical learning in MAS ,[object Object],[object Object],[object Object],[object Object]

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Hierarchical Learning in AI - General Problem

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. General Hierarchy Formation System is in the inner development of one level, for example, form ape to human. System search for favorable position on “niche” space, and the moving progress is called “Evolution”. In this progress, system tends to be more ordered because only more ordered system can have higher energy-consuming efficiency and win in the competition. When the structure of system block in the way to higher order, hierarchy will be appeared. In this stage, a new high-level system “bursts out”, such as society organized by human. Under the new organization, the system can have higher energy-consuming efficiency or energy-occupation ability, to further increase its order.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Hierarchy in AI: simulate the nature AI system Immune system Molecule Cell Multi-cell Society Hierarchy Evolution Gene neural network
  • 15. The way to hierarchy(1): organism Mitosis and amitosis The evolution of neural system Differentiation of Tissue Organ Isolated specie becomes “living fossil” Species are generated quicker and quicker Growth of individual; the average body volume increase in evolution The physical freedom of Molecule and cell are decreasing ( less entropy) Organism Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 16. The way to in hierarchy(2): Society Culture split, language pedigree ; colonizztion Government and international organization More detailed social professional work From individual, group, tribe to nation and international society Open society are developed quicker than isolated society The acceleration in social development Growth of total social economy Organization degree are increasing Society Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 17. The way to in hierarchy(3): OS The replication of progress and virus. Central part controls all processes modules in OS are divided more detailedly The SDK of OS is composed by many application API Message and signal between progress Exponential growth of OS size Increase of OS size Process and operating system Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 18. The way to hierarchy(4): WAN ? Formation of Portal, manage center, service center More and more different kind of websites WAN, LAN, terminal Protocol and messages Rapid almost exponent growth The extend of network size From unrestricted to be controlled and managed Wide area network Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 19. The way to hierarchy(5): NN ? ? From less structured to complex structured, such as layer Group network with complex behavior by neurons Weights ? (evolutionary neural network) After training, input can converge to some attractors Neural Network Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 20. The way to hierarchy(6): GA Selection , crossover,mutation and new population From individuals to population Fitness Schema theorem Genetic Algorithm Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
  • 21. The way to hierarchy(7): MAS Simple agent and complex agent society Agent Language Converge to equilibrium point Multi-agent system Multiplication Centralization Differentiation Hierarchy interaction Accelerate Growth Order increasing
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  • 25. Hierarchical AI System: Self-organization(2) Possible system state space in early stage Possible system state space in early stage
  • 26. Hierarchical AI System: Self-organization(3) limited growth, stable or slow development. break through developing obstacle by hierarchy with higher order but less freedom degree. More efficient in energy using and can use more energy that lower-level system can’t utilize abundant resource stage , exponential growth Order
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