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Lego_Trust_Game

IMG-1649.jpg

you can find dataset here on Kaggle

🎲 Rule Table :

[ (cheat/cheat) or (trust/trust) or (trust/cheat) or (cheat/trust) ] . [rewards or punishment]

           \          T2                C2
            \~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            !          R2= +2   !           R2 = +3   !
        T1 !                   !                     !
          !   R1 = +2         !   P1 = -1           !
         ! ------------------!---------------------!
        !           p2= -1  !             p2 = 0  !
   C1  !                   !                     !
      !   R1 = +3         !    P1 = 0           !
      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

⚙️ Game Init :

  • Each player has :

A batch of lego slicea batch of colorful lego slices
An score initialized to 0
List of movements initialized to empty

  • there is a common resource in the middle

🎮 🎿 Game plan :

In each steps , both participants hide one lego slice in one of their's hand secretly.
Fist both hands bring them forward.
Simultaneously both players open one hand of their choice.

Questions ❓

  • When peaple Trust to each other and why ?
  • Is gender a critical variable for Trust ?

📈 📊 📉 Descriptive Analysis phase :

  • How kids trust ?

to adult
to other kids (this part by help of some friens for access to kids)

  • Is the first action of all humans "Trust" when confront a new person ?

Predictive Analysis phase :

  • Is "Attention Bias" related to te Step_movment of each person ?
  • chategorize humans by Game_play of them and predict they presonality !!!

---------------------------------------------------------------------------------------------------------------------------

We wanna show the tolerance of Trust /causality & correlation betweet Trust & other Table_feature

search for confounding Variables / and a hard work is simulating this trial for kids without changing game rule

------------------------------------------------------------------------------------------------------------------------
> The rule of the Game : (cost of punishment & Rewards is different game by game)
> R1/R2 : (+1,+1)or(+2,+2)or...
> R1/P2 : (+3,-1)or(+)
> P1/P2 : (0,0)or(-1,-1,)or...

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