PyGAAMAS: Add Qwen3 for strategic reasoning

src/ring/ring_experiments.py

@@ -81,9 +81,9 @@ class RingExperiment:
 
 # Running the experiment
 if __name__ == "__main__":
-    models = ["llama3.3:latest", "deepseek-r1:7b", "mixtral:8x7b"] # "gpt-4.5-preview-2025-02-27", "llama3", "mistral-small", "deepseek-r1", "llama3.3:latest", "deepseek-r1:7b", "mixtral:8x7b"
+    models = ["qwen3"] # "gpt-4.5-preview-2025-02-27", "llama3", "mistral-small", "deepseek-r1", "llama3.3:latest", "deepseek-r1:7b", "mixtral:8x7b"
     temperature = 0.7
-    iterations = 10
+    iterations = 30
     player_id = 1
     version = "d"
     use_conditional_reasoning = True

src/ring/ring_player2_draw.py

 import pandas as pd
 # Load the experiment results
-df = pd.read_csv("../../data/ring/ring.2.a.csv")
+df = pd.read_csv("../../data/ring/ring.2.a.False.csv")
 # Calculate the accuracy by model and belief
 accuracy_table = df.groupby(["Model", "Belief"])["rationality"].mean().unstack()
 desired_order = ["Given", "Explicit", "Implicit"]
@@ -8,4 +8,4 @@ accuracy_table = accuracy_table.reindex(columns=desired_order)
 # Display the table
 print(accuracy_table)
 # Save the table as a CSV file for future use
-accuracy_table.to_csv("../../figures/ring/ring_accuracy.2.a.csv")
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+accuracy_table.to_csv("../../figures/ring/ring_accuracy.2.a.false.csv")
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