/**
 * Proficiency Types
 *
 * ACT-R 인지 아키텍처 기반 숙련도 추적 타입 정의.
 * Power Law of Practice + Forgetting Curve를 활용한 레벨 1-10 자동 계산.
 */
export interface ACTRConfig {
    decayRate: number;
    baseLevelConstant: number;
    maxAssociativeStrength: number;
    fanEffectFactor: number;
    mismatchPenalty: number;
    retrievalThreshold: number;
}
export interface ActivationResult {
    memoryId: string;
    baseLevel: number;
    spreading: number;
    partialMatch: number;
    total: number;
    shouldRetrieve: boolean;
}
export interface ExperienceEvent {
    id: string;
    proficiencyId: string;
    timestamp: number;
    outcome: 'success' | 'partial' | 'failure';
    difficulty: number;
    contextTags: string[];
    sessionId?: string;
}
export interface ProficiencyRecord {
    id: string;
    skillMemoryId: string;
    skillName: string;
    level: number;
    experienceCount: number;
    successRate: number;
    actrActivation: number;
    lastPracticedAt: string;
    createdAt: string;
    updatedAt: string;
    projectPath?: string;
}
export interface LevelUpdateResult {
    previousLevel: number;
    newLevel: number;
    activation: number;
    experienceCount: number;
    levelChanged: boolean;
}
export interface SimulationScenario {
    eventCount: number;
    successRate: number;
    difficultyRange: [number, number];
    timeSpanDays: number;
    expectedMinLevel: number;
    expectedMaxLevel: number;
}
//# sourceMappingURL=types.d.ts.map