← Back to the demo list
Semantic Memory — Mock
_6_semantic_memory
Stimulus and Image

An active set of stimuli provides FinalImageId — the image key in semantics and in the understanding model.

Bell i FinalImage ≈ 24017
Semantic Set
Registering experience — after contacting the image, semantic significance z is recorded (difference of states before and after reflexes via getDiffImportance). Over time it accumulates a semantic set in SemanticObjectImportance: for each triple of conditions, meanImportance and samplesCount are recalculated.
Record Key
Semantic row uniqueness: base state (Poor / Normal / Well) + emotion (EmotionId from the combination of base contexts) + image (finalImageId). The index SemanticMemoryIndex[well][emotionId][finalImageId] stores a summary for OR and for the understanding model.
Condition (training)meanImportancesamplesCount
Normal, emotion A−0,34
Well, emotion A+0,82
Poor, emotion B+1,17
Readiness for the Orientation Reflex
To take part in OR and to form episodic memory frames from this image under these conditions, you need “sufficiently known” experience: samplesCount ≥ OR_well_known (default threshold 10 in code). On the stimulus buttons you see the remaining amount to the threshold. In Poor, the threshold for starting OR does not block the same way as in Normal/Well; for Food/Water special rules apply.
Training scale: accumulated activations toward the “known” threshold (mock)
Image Understanding Model
Across all semantic frames of the image, ImageUnderstandingModelArr[finalImageId] is built: a digest of (wellNormaBad, emotionId) combinations — average significance, number of samples, and the latest z. This is what the operator opens via the i icon on the stimulus button.
Normal · emotion A — stable negative value as samplesCount grows
Well · emotion A — shifted toward “pleasant” experience
Maturing the Understanding Model
Maturing is accumulating enough independent observations (samplesCount) and stabilizing meanImportance across conditions. Additionally: with “quiet” semantics (|mean| ≤ 0.5) and calm vitals, the significance lens triggers — the averaged signal mixes an amplified component from the raw diff so weak differences do not disappear into zero (when vitals are under stress, the lens turns off).