메모

Random Initial Network( node degree <= 10   / total 50)

Closed World (# of Agent Constant)


Agent(50 Agent Model)
   Total Resource  = 10
   !!! Node Importance Model?
       !!! Static Importance Model 5, 4, 3, 2, 1
       !!! Dynamic Importance Model : self Importance + spend resource * alpha( <1 )
Agent Actuator
   HighCost MeetUP  = spend resource 0.75
   MediumCost MeetUP  = spend resource 0.5
   LowCost MeetUP  = spend resource 0.25
   !!!Random MeetUP  = spend resource 0.75 + Random Access Cost(  =1 )
   !!!Spare for the RM  = spend resource 0.25 + Random Access Cost(0.5)
 
   Resource Distributing Gene
   1. Sorting
         1) Node Value Descending Order
         2)X Ascending Order
         3)
   2. Resource Array
Agent Sensor
   X  1 link evaluation known model(Static....)
   2 link evaluation known model( 한 다리 건너기 모형 Actuator의 대상이 한다리 건너)

Evaluation Function( Assumption Perfect Information about Node Value )
   Eigenvector Centrality
   !!! Value of the Node Itself??

Network Connection
    if connection resource >= 1 then connect = 1
    else connect = 0


Case1)
Bad(Rural) Case Start Optimal Strategy
Good(Center) Case Start Optimal Strategy

Case2)
Bad(Low Node Value) Case Start Optimal Strategy
Good(High Node Value) Case Start Optimal Strategy

Complete Model

Get Empirical Data...?? ( Elementary School Classroom)