scirs2_ndimage::hyperdimensional_computing::memory

Struct ContinualLearningMemory

pub struct ContinualLearningMemory {
    pub associative_memory: HashMap<String, Hypervector>,
    pub episodic_buffer: VecDeque<Experience>,
    pub consolidated_memory: HashMap<String, Hypervector>,
    pub config: HDCConfig,
    pub buffer_capacity: usize,
    pub interference_threshold: f64,
}

Expand description

Continual Learning Memory with interference prevention

Fields§

§associative_memory: HashMap<String, Hypervector>

Main associative memory

§episodic_buffer: VecDeque<Experience>

Episodic buffer for recent experiences

§consolidated_memory: HashMap<String, Hypervector>

Long-term consolidated memories

§config: HDCConfig

Configuration parameters

§buffer_capacity: usize

Maximum size of episodic buffer

§interference_threshold: f64

Interference threshold

Implementations§

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impl ContinualLearningMemory

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pub fn new(config: &HDCConfig) -> Self

Create a new continual learning memory

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pub fn add_experience( &mut self, experience: Experience, _consolidation: &ConsolidationResult, ) -> NdimageResult<()>

Add a new experience with consolidation

§Arguments

experience - New experience to add
consolidation - Consolidation result information

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pub fn calculate_interference(&self, new_encoding: &Hypervector) -> f64

Calculate interference with existing memories

§Arguments

new_encoding - New encoding to check for interference

§Returns

Interference score between 0.0 and 1.0

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pub fn retrieve(&self, query: &Hypervector) -> Option<(String, f64)>

Retrieve from memory with consolidation awareness

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pub fn get_memory_stats(&self) -> (usize, usize, usize)

Get memory statistics

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pub fn get_current_time(&self) -> usize

Get current timestamp

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pub fn update_meta_learning_parameters( &mut self, _stats: &ContinualLearningStats, )

Update meta-learning parameters (placeholder)

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pub fn get_meta_learning_score(&self) -> f64

Get meta-learning score (placeholder)

Trait Implementations§

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impl Clone for ContinualLearningMemory

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fn clone(&self) -> ContinualLearningMemory

Returns a duplicate of the value. Read more

1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more

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impl Debug for ContinualLearningMemory

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl UnwindSafe for ContinualLearningMemory

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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