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authorNiclas Dobbertin <niclas.dobbertin@mailbox.org>2024-09-01 17:29:19 +0200
committerNiclas Dobbertin <niclas.dobbertin@mailbox.org>2024-09-01 17:29:19 +0200
commit7c1d45b574de33dafcd93b251fc089acff313292 (patch)
tree9817f1faab381cd71c3c7ad26086851577ae6fde /modeling/productions_math.py
parent60df194c8b72c9d47d1bc490b4c4c296ac234e8e (diff)
fix retrieval checks
Diffstat (limited to 'modeling/productions_math.py')
-rw-r--r--modeling/productions_math.py14
1 files changed, 11 insertions, 3 deletions
diff --git a/modeling/productions_math.py b/modeling/productions_math.py
index a3f6b02..07609bf 100644
--- a/modeling/productions_math.py
+++ b/modeling/productions_math.py
@@ -33,9 +33,9 @@ def add_proc(goal, proc):
def start():
- condition = "random"
- training_N = 5
- test_N = 5
+ condition = "fixed"
+ training_N = 2
+ test_N = 2
stimuli = model_env.Stimuli(condition, training_N=training_N, test_N=test_N)
@@ -52,6 +52,10 @@ def start():
# op, arg1, arg2 = wait_input()
Model, DM, goal, imaginal, env = init()
# Model.model_parameters["subsymbolic"] = True
+ # Model.model_parameters["partial_matching"] = True
+ Model.model_parameters["activation_trace"] = True
+ Model.model_parameters["utility_alpha"] = 0.5
+ Model.model_parameters["utility_noise"] = 0.5
Model.model_parameters["production_compilation"] = True
Model.model_parameters["utility_learning"] = True
# add_goal(goal, op, arg1, arg2)
@@ -67,6 +71,9 @@ def start():
motor_prods = prod_motor.procedures(Model)
visual_prods = prod_vis.procedures(Model)
+ for p in Model.productions:
+ Model.productions[p].__setitem__("utility", 1)
+
print("goal: ", goal)
# print("imaginal: ", imaginal)
sim = Model.simulation(
@@ -85,6 +92,7 @@ def start():
if j > training_N:
phase = "test"
sim.step()
+ print(goal)
if sim.current_event.time >= 900:
print(sim.current_event)
break