Просмотр кода страницы Многоагентное моделирование в изучении группового поведения (Syllabus)/Diagram

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skinparam NoteBackgroundColor tan
start
:Learning outcomes (Competences) ;
note right
Thinking with ABM models
Making ABM models
end note

:Concepts;
note left
Agent
Flocking
Team Assembly
Teammate
end note

:Books;
note right
20 things to do
Growing Artificial Societies
Thinking Like a Tree
Turtles, termites, and traffic jams:
end note


:Models;
note left
Basketball analytics
Flocking
Leaders & Followers
Segregation 
Sugarscape
Team Assembly
end note

:Languages ;
note right
Choice
end note

fork
  :Scratch ;
fork again
  :Snap! ;
fork again
  :StarLogo ;
fork again
  :NetLogo ;
fork again
  :GAMA ;
end fork

:Tools ;
note right
Choice
end note

fork
  :BehaviorSpace ;
fork again
  :CODAP ;
fork again
  :RAWGraphs ;
fork again
  :R ;
end fork

: Learning outputs (Affective Tasks);
note left
Active Essay
end note



if (Have learning outputs been achieved?) then (no)
:LearningOutcomes 
   Not Achieved ;

else (yes)
 :LearningOutcomes 
    Achieved;
endif
stop

@enduml
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