diff --git a/examples/dorf_hero/Cargo.toml b/examples/dorf_hero/Cargo.toml
index 65b9c69..ce6318f 100644
--- a/examples/dorf_hero/Cargo.toml
+++ b/examples/dorf_hero/Cargo.toml
@@ -9,4 +9,4 @@ bevy_tilemap = "0.4.0"
 rand = "0.8.3"
 pathfinding = "2.1.2"
 bevy = "0.5.0"
-big-brain = { path = "../../", version = "0.3.4" }
+big-brain = { path = "../../" }
diff --git a/examples/dorf_hero/src/ai/scorers/enemy_distance.rs b/examples/dorf_hero/src/ai/scorers/enemy_distance.rs
index 5dcb853..d444aad 100644
--- a/examples/dorf_hero/src/ai/scorers/enemy_distance.rs
+++ b/examples/dorf_hero/src/ai/scorers/enemy_distance.rs
@@ -47,7 +47,7 @@ pub fn enemy_distance(
             if let Ok(hero_pos) = hero_q.single() {
                 let distance = util::euclidean_distance(enemy_pos, hero_pos);
                 if distance <= enemy_distance.within {
-                    score.set(enemy_distance.evaluator.evaluate((distance - enemy_distance.within) * -1.));
+                    score.set(enemy_distance.evaluator.evaluate((distance - enemy_distance.within).abs()));
                 } else {
                     score.set(0.0);
                 }
@@ -57,7 +57,7 @@ pub fn enemy_distance(
             for enemy_pos in enemy_q.iter() {
                 let distance = util::euclidean_distance(enemy_pos, hero_pos);
                 if distance <= enemy_distance.within {
-                    score.set(enemy_distance.evaluator.evaluate((distance - enemy_distance.within) * -1.));
+                    score.set(enemy_distance.evaluator.evaluate((distance - enemy_distance.within).abs()));
                 } else {
                     score.set(0.0);
                 }
diff --git a/examples/dorf_hero/src/ai/scorers/fear_of_death.rs b/examples/dorf_hero/src/ai/scorers/fear_of_death.rs
index f1d743b..ee7016f 100644
--- a/examples/dorf_hero/src/ai/scorers/fear_of_death.rs
+++ b/examples/dorf_hero/src/ai/scorers/fear_of_death.rs
@@ -30,7 +30,7 @@ pub fn fear_of_death(hp_q: Query<&Hp>, mut scorer_q: Query<(&Actor, &mut Score,
     for (Actor(actor), mut score, fear) in scorer_q.iter_mut() {
         if let Ok(hp) = hp_q.get(*actor) {
             let perc = hp.current as f32 / hp.max as f32;
-            score.set(fear.evaluator.evaluate(((perc * 100.) - 100.).abs()));
+            score.set(fear.evaluator.evaluate((perc - 1.).abs()));
         }
     }
 }