Struct FlowTheoryConfig 

pub struct FlowTheoryConfig {
    pub skill_window_size: usize,
    pub adaptation_rate: f32,
    pub boredom_threshold: f32,
    pub anxiety_threshold: f32,
    pub target_win_rate: f32,
}

Flow Theory parameters for Dynamic Difficulty Adjustment.

Based on Csikszentmihalyi’s three-channel model:

• Boredom: Challenge too low for skill level
• Flow: Challenge matches skill (optimal engagement)
• Anxiety: Challenge too high for skill level

Reference: Think Game Design

Fields

skill_window_size: usize

Number of recent points to consider for skill estimation

adaptation_rate: f32

Rate at which AI adapts difficulty (0.0-1.0)

boredom_threshold: f32

Win rate threshold above which player is “bored” (e.g., 0.7)

anxiety_threshold: f32

Win rate threshold below which player is “anxious” (e.g., 0.3)

target_win_rate: f32

Target win rate for optimal flow (typically 0.5)

Trait Implementations

impl Clone for FlowTheoryConfig

fn clone(&self) -> FlowTheoryConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FlowTheoryConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for FlowTheoryConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for FlowTheoryConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for FlowTheoryConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.