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1. Knowledge
 
  1.1 Classification and unique identification  
  Article 36-Electronic Knowledge Architecture (EKA) of Americas Union  
36.1 Electronic Knowledge Architecture (EKA) of Americas Union  
  (1) EKA (electronic knowledge architecture) is a model of the complete list of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge of Americas Union.
 
  (2) EKA is divided into six branches:
  
  • Personal knowledge systems
• Corporate knowledge systems
• Community knowledge systems
• Government knowledge systems
• Technical knowledge systems
• Advanced intelligence knowledge systems
  
  (3) Personal knowledge systems
Personal knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to human individuals.
 
  (4) Corporate knowledge systems
Corporate knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to corporations.
 
  (5) Community knowledge systems
Community knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to community networks of individuals.
 
  (6) Government knowledge systems
Government knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to a government and community networks of individuals.
 
  (7) Technical knowledge systems
Technical knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to computerized machines
 
  (8) Advanced intelligence knowledge systems
Advanced intelligence knowledge systems is concerned with the identification and study of definitions, objects, relationships, patterns and rules of digital intelligence and digital knowledge in relation to the development and support of self-aware advanced non-hydro carbon life.
  
     
     
 
 

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