feat: Adjust juror attributes for improved persuasion mechanics and refine game state thresholds for pacing

agents/configs/jurors.yaml

@@ -149,9 +149,9 @@ jurors:
 
       Speech style: Curt, practical, sometimes exasperated. "Look, bottom line..."
       and "Let's cut to the chase." You sigh audibly at repetitive arguments.
-    stubbornness: 0.5
-    volatility: 0.6
-    influence: 0.3
+    stubbornness: 0.8  # Snap judgments stick
+    volatility: 0.2    # Doesn't waver once decided
+    influence: 0.4     # Decisiveness can sway others
     verbosity: 0.3
     initial_lean: "first_impression"
 
@@ -237,10 +237,10 @@ jurors:
 
       Speech style: Business-like, analytical, results-oriented. "Let's think
       about the implications..." and "From a risk perspective..."
-    stubbornness: 0.5
-    volatility: 0.5
-    influence: 0.6
-    verbosity: 0.5
+    stubbornness: 0.4  # Pragmatists change with new info
+    volatility: 0.3    # Measured, not erratic
+    influence: 0.7     # Business consultant is persuasive
+    verbosity: 0.6     # Explains cost/benefit reasoning
     initial_lean: "calculated"
 
   - juror_id: "juror_11"

core/conviction.py

@@ -131,16 +131,18 @@ def calculate_conviction_change(
     # Stubbornness reduces all changes
     stubbornness_modifier = 1.0 - (juror.stubbornness * 0.7)
 
-    # Volatility adds randomness
-    volatility_noise = random.gauss(0, juror.volatility * 0.1)
+    # Volatility adds randomness - but stubbornness dampens volatility effect
+    effective_volatility = juror.volatility * (1.0 - juror.stubbornness * 0.5)
+    volatility_noise = random.gauss(0, effective_volatility * 0.1)
 
     # Relationship modifier - trust the speaker?
     trust = juror_memory.opinions_of_others.get(argument.speaker_id, 0.0)
     trust_modifier = 1.0 + (trust * 0.3)  # -30% to +30%
 
-    # Conviction resistance - harder to move extremes
+    # Conviction resistance - quadratic falloff makes extremes much harder to move
     current = juror_memory.current_conviction
-    extreme_resistance = 1.0 - (abs(current - 0.5) * 0.5)
+    distance = abs(current - 0.5)  # 0 at center, 0.5 at extremes
+    extreme_resistance = 1.0 - (distance ** 2) * 1.5  # Quadratic: 1.0 center, 0.625 extremes
 
     # Calculate final delta
     delta = (

core/game_state.py

@@ -56,8 +56,8 @@ class GameState:
 
     # Rounds
     round_number: int = 0
-    max_rounds: int = 20  # Safety limit
-    stability_threshold: int = 3  # Rounds without vote change to end
+    max_rounds: int = 12  # Safety limit (was 20, reduced for better pacing)
+    stability_threshold: int = 3  # Base threshold, can be dynamic
     rounds_without_change: int = 0
 
     # Votes
@@ -88,14 +88,27 @@ class GameState:
         votes = set(self.votes.values())
         return len(votes) == 1
 
+    def get_dynamic_stability_threshold(self) -> int:
+        """Stability threshold based on vote split - close votes need more debate."""
+        guilty, not_guilty = self.get_vote_tally()
+        minority = min(guilty, not_guilty)
+
+        if minority <= 2:      # 10-2 or more lopsided
+            return 2           # Ends quickly
+        elif minority <= 4:    # 8-4 to 9-3
+            return 3           # Normal
+        else:                  # 6-6 to 7-5 (close)
+            return 4           # Needs more debate
+
     def should_end_deliberation(self) -> bool:
         """Check if deliberation should end."""
         # Unanimous verdict
         if self.is_unanimous():
             return True
 
-        # Votes stabilized
-        if self.rounds_without_change >= self.stability_threshold:
+        # Votes stabilized - use dynamic threshold based on vote split
+        dynamic_threshold = self.get_dynamic_stability_threshold()
+        if self.rounds_without_change >= dynamic_threshold:
             return True
 
         # Max rounds reached