Enum AdaptationMode 

pub enum AdaptationMode {
    Learning,
    Manual(StrategyId),
    Stable,
    Bounded {
        min: StrategyId,
        max: StrategyId,
    },
}

How much latitude GORNA has to change an agent’s strategy — the developer-control surface over the adaptive core.

This is what keeps the engine a partnership rather than an autocracy: the DCC observes and proposes, but the developer decides how much it may act. Set per agent; Learning is the default. (A death-spiral safety stop can still force LowPower in any mode — safety overrides developer control.)

Variants

Learning

Full GORNA negotiation — the DCC freely picks the best-fitting strategy each tick. The engine’s default.

Manual(StrategyId)

The agent is pinned to a fixed strategy; GORNA observes and reports but never switches it. The developer takes control.

Stable

Predictable: GORNA may downgrade under budget pressure but never makes an opportunistic upgrade, so the strategy doesn’t flap up and down frame to frame.

Bounded

Learning within limits: the chosen strategy is clamped to the [min, max] range (ordering LowPower < Balanced < HighPerformance; Custom ranks above HighPerformance).

Fields

min: StrategyId

Lowest strategy GORNA may select.

max: StrategyId

Highest strategy GORNA may select.

Trait Implementations

impl Clone for AdaptationMode

fn clone(&self) -> AdaptationMode

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdaptationMode

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

Formats the value using the given formatter.

impl Default for AdaptationMode

fn default() -> AdaptationMode

Returns the “default value” for a type.

impl PartialEq for AdaptationMode

fn eq(&self, other: &AdaptationMode) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for AdaptationMode

impl Eq for AdaptationMode

impl StructuralPartialEq for AdaptationMode