30 lines
894 B
Markdown
30 lines
894 B
Markdown
# Graph-Aware Planner
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The graph-aware planner ranks next concepts using a transparent utility model.
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## Inputs
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- concept graph
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- learner mastery state
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- evidence summaries
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- target concepts
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- semantic similarity estimates
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- project catalog
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## Current scoring terms
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- **readiness_bonus**: concept is currently studyable
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- **target_distance_weight**: closer concepts to the target score higher
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- **weak_dimension_bonus**: concepts with known weakness signals are prioritized
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- **fragile_review_bonus**: resurfaced or fragile concepts are review-prioritized
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- **project_unlock_bonus**: concepts that unlock projects score higher
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- **semantic_similarity_weight**: concepts semantically close to targets gain weight
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## Future work
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- learner time budgets
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- spaced repetition costs
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- multi-objective planning
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- planning across multiple targets
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- reinforcement learning over curriculum policies
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