diff --git a/bn_variables.py b/bn_variables.py
new file mode 100644
index 0000000000000000000000000000000000000000..af30a0db54a06be88cccc63ff99679791877b573
--- /dev/null
+++ b/bn_variables.py
@@ -0,0 +1,87 @@
+'''this module collect all the variables involved in the bayesian network and initialise them'''
+import enum
+
+class Robot_Assistance_Feedback(enum.Enum):
+    lev_0_no = 0
+    lev_1_no = 1
+    lev_2_no = 2
+    lev_3_no = 3
+    lev_4_no = 4
+    lev_0_yes = 0
+    lev_1_yes = 1
+    lev_2_yes = 2
+    lev_3_yes = 3
+    lev_4_yes = 4
+    name = "robot_assistance_feedback"
+    counter = 10
+
+class User_Capability(enum.Enum):
+    very_mild = 0
+    mild = 1
+    severe = 2
+    name = "user_capability"
+    counter = 3
+
+class User_Action(enum.Enum):
+    correct = 0
+    wrong = 1
+    timeout = 2
+    name = "user_action"
+    counter = 3
+
+class Reactivity(enum.Enum):
+    slow = 0
+    medium = 1
+    fast = 2
+    name = "reactivity"
+    counter = 3
+
+class Memory(enum.Enum):
+    low = 0
+    medium = 1
+    high = 2
+    name = "memory"
+    counter = 3
+
+class Attention(enum.Enum):
+    low = 0
+    medium = 1
+    high = 2
+    name = "attention"
+    counter = 3
+
+class Robot_Assistance(enum.Enum):
+    lev_0 = 0
+    lev_1 = 1
+    lev_2 = 2
+    lev_3 = 3
+    lev_4 = 4
+    name = "robot_assistance"
+    counter = 5
+
+class Robot_Feedback(enum.Enum):
+    yes = 0
+    no = 1
+    name = "robot_feedback"
+    counter = 2
+
+class Game_State(enum.Enum):
+    beg = 0
+    middle = 1
+    end = 2
+    name = "game_state"
+    counter = 3
+
+class Attempt(enum.Enum):
+    at_1 = 0
+    at_2 = 1
+    at_3 = 2
+    at_4 = 3
+    name = "attempt"
+    counter = 4
+
+#test the module
+
+
+
+