thoughtmcp/dist/cognitive/MetacognitionModule.d.ts

AI that thinks more like humans do - MCP server with human-like cognitive architecture for enhanced reasoning, memory, and self-monitoring

/**
 * Metacognitive Monitoring Module
 * Implements self-monitoring and bias detection for cognitive processes
 * Provides confidence assessment, coherence evaluation, and reasoning strategy suggestions
 */
import { ComponentStatus, IMetacognitionModule } from "../interfaces/cognitive.js";
import { ReasoningStep } from "../types/core.js";
export interface MetacognitiveAssessment {
    confidence: number;
    coherence: number;
    biases_detected: string[];
    completeness: number;
    quality_score: number;
    suggestions: string[];
    should_reconsider: boolean;
    reasoning: string;
}
export declare class MetacognitionModule implements IMetacognitionModule {
    private initialized;
    private lastActivity;
    private config;
    private biasPatterns;
    private performanceHistory;
    constructor();
    initialize(config: Record<string, unknown>): Promise<void>;
    process(input: unknown): Promise<unknown>;
    monitorConfidence(reasoning: ReasoningStep[]): number;
    detectBiases(reasoning: ReasoningStep[]): string[];
    assessCoherence(reasoning: ReasoningStep[]): number;
    suggestImprovements(reasoning: ReasoningStep[]): string[];
    assessReasoning(reasoning: ReasoningStep[]): MetacognitiveAssessment;
    private initializeBiasPatterns;
    private analyzeConfidenceFactors;
    private assessEvidenceStrength;
    private assessAlternativeConsideration;
    private assessUncertaintyAcknowledgment;
    private detectBiasPattern;
    private detectStructuralBiases;
    private computeCoherenceMetrics;
    private assessLogicalConsistency;
    private assessNarrativeFlow;
    private assessPremiseConclusionAlignment;
    private countContradictions;
    private countLogicalGaps;
    private areStepsContradictory;
    private assessCompleteness;
    private computeQualityScore;
    private generateBiasSuggestions;
    private generateCompletenessSuggestions;
    private recommendStrategies;
    private generateAssessmentReasoning;
    private calculateVariance;
    private generateSuggestionsFromMetrics;
    private generateConfidenceSuggestionsFromMetrics;
    private generateCoherenceSuggestionsFromMetrics;
    reset(): void;
    recordPerformance(assessment: MetacognitiveAssessment, outcome?: "success" | "failure"): void;
    getPerformanceHistory(): PerformanceRecord[];
    getStatus(): ComponentStatus;
}
interface PerformanceRecord {
    timestamp: number;
    assessment: MetacognitiveAssessment;
    outcome?: "success" | "failure";
}
export {};
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