cognitive-framework-mcp-server/src/engines/cognitive-reasoning-engine.ts

MCP Server for Advanced Cognitive Framework - Provides sophisticated AI reasoning capabilities through standardized protocol

/**
 * Cognitive Reasoning Engine
 * Core engine that applies the Advanced Cognitive Framework to process requests
 */

import { v4 as uuidv4 } from 'uuid';
import NodeCache from 'node-cache';
import { 
  CognitiveFramework, 
  CognitiveRequest, 
  CognitiveResponse, 
  CognitiveOptions 
} from '../types/cognitive-framework.js';

export interface ReasoningSession {
  id: string;
  startTime: Date;
  context: Record<string, any>;
  cognitiveLoad: number;
  biasChecks: string[];
  confidenceHistory: number[];
  workflowPath: string[];
}

export class CognitiveReasoningEngine {
  private framework: CognitiveFramework;
  private cache: NodeCache;
  private activeSessions: Map<string, ReasoningSession>;

  constructor(framework: CognitiveFramework) {
    this.framework = framework;
    this.cache = new NodeCache({ stdTTL: 3600 }); // 1 hour cache
    this.activeSessions = new Map();
  }

  /**
   * Process a cognitive request using the framework
   */
  async processRequest(request: CognitiveRequest): Promise<CognitiveResponse> {
    const session = this.createSession(request);
    const startTime = Date.now();

    try {
      // Apply meta-cognitive priming
      const primedContext = await this.applyMetaCognitivePriming(request, session);
      
      // Select and execute workflow
      const workflow = this.selectWorkflow(request.options?.workflow || 'adaptive');
      const workflowResult = await this.executeWorkflow(workflow, primedContext, session);
      
      // Apply bias checking if enabled
      const biasChecks = request.options?.biasChecking ? 
        await this.performBiasChecking(workflowResult, session) : [];
      
      // Calculate confidence
      const confidence = this.calculateConfidence(workflowResult, session);
      
      // Generate alternatives if requested
      const alternatives = request.options?.creativityLevel === 'high' ?
        await this.generateAlternatives(workflowResult, session) : [];

      const processingTime = Date.now() - startTime;

      return {
        result: workflowResult.result,
        confidence,
        reasoning: workflowResult.reasoning,
        biasChecks,
        alternatives,
        metadata: {
          workflow: workflow.name,
          complexity: request.options?.complexity || 'adaptive',
          processingTime,
          cognitiveLoad: session.cognitiveLoad
        }
      };
    } finally {
      this.cleanupSession(session.id);
    }
  }

  /**
   * Create a new reasoning session
   */
  private createSession(request: CognitiveRequest): ReasoningSession {
    const session: ReasoningSession = {
      id: uuidv4(),
      startTime: new Date(),
      context: { ...request.context },
      cognitiveLoad: 0,
      biasChecks: [],
      confidenceHistory: [],
      workflowPath: []
    };

    this.activeSessions.set(session.id, session);
    return session;
  }

  /**
   * Apply meta-cognitive priming before processing
   */
  private async applyMetaCognitivePriming(
    request: CognitiveRequest, 
    session: ReasoningSession
  ): Promise<any> {
    // Implement meta-cognitive priming based on framework principles
    const priming = {
      originalRequest: request.input,
      contextualFactors: this.analyzeContextualFactors(request),
      complexityAssessment: this.assessComplexity(request),
      domainDetection: this.detectDomain(request),
      uncertaintyFactors: this.identifyUncertaintyFactors(request)
    };

    session.cognitiveLoad += 10; // Base cognitive load for priming
    return priming;
  }

  /**
   * Select appropriate workflow based on request and options
   */
  private selectWorkflow(workflowName: string): any {
    const workflow = this.framework.workflows.workflows.find(w => 
      w.name.toLowerCase() === workflowName.toLowerCase()
    );

    if (!workflow) {
      // Default to adaptive workflow
      return this.framework.workflows.workflows.find(w => 
        w.name.toLowerCase() === 'adaptive'
      ) || this.framework.workflows.workflows[0];
    }

    return workflow;
  }

  /**
   * Execute the selected workflow
   */
  private async executeWorkflow(
    workflow: any, 
    context: any, 
    session: ReasoningSession
  ): Promise<any> {
    session.workflowPath.push(workflow.name);
    session.cognitiveLoad += 20;

    // Simulate workflow execution based on framework principles
    const reasoning: string[] = [];
    
    // Apply cognitive principles
    for (const principle of this.framework.principles.principles) {
      const principleResult = this.applyPrinciple(principle, context, session);
      reasoning.push(`Applied ${principle.name}: ${principleResult}`);
    }

    // Apply heuristics
    const relevantHeuristics = this.selectRelevantHeuristics(context);
    for (const heuristic of relevantHeuristics) {
      const heuristicResult = this.applyHeuristic(heuristic, context, session);
      reasoning.push(`Applied ${heuristic.name}: ${heuristicResult}`);
    }

    // Generate result based on workflow type
    const result = this.generateWorkflowResult(workflow, context, reasoning, session);

    return {
      result,
      reasoning,
      workflow: workflow.name
    };
  }

  /**
   * Apply a cognitive principle
   */
  private applyPrinciple(principle: any, context: any, session: ReasoningSession): string {
    session.cognitiveLoad += 5;
    
    switch (principle.name) {
      case 'MetaCognitivePriming':
        return 'Engaged in structured internal reasoning before proceeding';
      case 'OptimalComplexity':
        return 'Balanced minimum necessary complexity with robustness requirements';
      case 'BiasAwareness':
        return 'Systematically checked for cognitive biases and applied mitigation strategies';
      case 'UncertaintyQuantification':
        return 'Explicitly modeled confidence levels and uncertainty factors';
      case 'MultiPerspectiveReasoning':
        return 'Considered multiple viewpoints and alternative approaches';
      case 'PredictiveIntelligence':
        return 'Anticipated potential issues and downstream consequences';
      default:
        return `Applied principle: ${principle.description.substring(0, 100)}...`;
    }
  }

  /**
   * Select relevant heuristics for the context
   */
  private selectRelevantHeuristics(context: any): any[] {
    // Select heuristics based on context and domain
    return this.framework.heuristics.heuristics.slice(0, 3); // Limit to top 3 for performance
  }

  /**
   * Apply a cognitive heuristic
   */
  private applyHeuristic(heuristic: any, context: any, session: ReasoningSession): string {
    session.cognitiveLoad += 3;
    
    switch (heuristic.name) {
      case 'SOLID':
        return 'Applied SOLID principles for maintainable, modular design';
      case 'SMART':
        return 'Formulated goals using SMART criteria for effectiveness';
      case 'OODA':
        return 'Applied OODA loop for adaptive decision-making';
      case 'RedTeam':
        return 'Challenged assumptions through adversarial thinking';
      case 'FirstPrinciples':
        return 'Broke down problem to fundamental elements';
      case 'SystemsThinking':
        return 'Considered interconnections and emergent properties';
      default:
        return `Applied ${heuristic.name} heuristic for ${heuristic.facilitates}`;
    }
  }

  /**
   * Generate workflow-specific result
   */
  private generateWorkflowResult(
    workflow: any, 
    context: any, 
    reasoning: string[], 
    session: ReasoningSession
  ): string {
    session.cognitiveLoad += 15;
    
    // This would be replaced with actual AI reasoning in a real implementation
    const baseResult = `Processed request using ${workflow.name} workflow with ${reasoning.length} cognitive steps applied.`;
    
    // Add workflow-specific enhancements
    switch (workflow.name.toLowerCase()) {
      case 'holistic':
        return `${baseResult} Comprehensive analysis completed with full-spectrum consideration of all factors.`;
      case 'express':
        return `${baseResult} Streamlined processing focused on direct, efficient solution.`;
      case 'adaptive':
        return `${baseResult} Dynamically adapted approach based on complexity assessment and context evolution.`;
      default:
        return baseResult;
    }
  }

  /**
   * Perform bias checking
   */
  private async performBiasChecking(result: any, session: ReasoningSession): Promise<string[]> {
    session.cognitiveLoad += 10;
    
    const biasChecks = [
      'Confirmation Bias Check: Sought contradictory information',
      'Anchoring Check: Avoided over-reliance on initial information',
      'Availability Bias Check: Considered broader range of examples',
      'Overconfidence Check: Identified key uncertainties',
      'Cultural Bias Check: Examined cultural assumptions'
    ];

    session.biasChecks.push(...biasChecks);
    return biasChecks;
  }

  /**
   * Calculate confidence level
   */
  private calculateConfidence(result: any, session: ReasoningSession): number {
    // Base confidence calculation
    let confidence = 0.7; // Base confidence
    
    // Adjust based on cognitive load (higher load = more thorough = higher confidence)
    confidence += Math.min(session.cognitiveLoad / 200, 0.2);
    
    // Adjust based on bias checking
    if (session.biasChecks.length > 0) {
      confidence += 0.1;
    }
    
    // Ensure confidence is between 0 and 1
    confidence = Math.max(0, Math.min(1, confidence));
    
    session.confidenceHistory.push(confidence);
    return confidence;
  }

  /**
   * Generate alternative solutions
   */
  private async generateAlternatives(result: any, session: ReasoningSession): Promise<string[]> {
    session.cognitiveLoad += 15;
    
    // Apply creative intelligence framework
    const alternatives = [
      'Alternative approach using divergent thinking methodology',
      'Solution combining concepts from different domains',
      'Approach with relaxed constraints for novel possibilities'
    ];

    return alternatives;
  }

  /**
   * Analyze contextual factors
   */
  private analyzeContextualFactors(request: CognitiveRequest): any {
    return {
      inputLength: request.input.length,
      hasContext: !!request.context && Object.keys(request.context).length > 0,
      requestType: request.type,
      optionsProvided: !!request.options
    };
  }

  /**
   * Assess complexity of the request
   */
  private assessComplexity(request: CognitiveRequest): string {
    const factors = {
      inputLength: request.input.length,
      contextSize: request.context ? Object.keys(request.context).length : 0,
      hasOptions: !!request.options
    };

    const complexityScore = factors.inputLength / 100 + factors.contextSize * 2 + (factors.hasOptions ? 5 : 0);

    if (complexityScore < 10) return 'low';
    if (complexityScore < 25) return 'medium';
    return 'high';
  }

  /**
   * Detect domain from request
   */
  private detectDomain(request: CognitiveRequest): string {
    const input = request.input.toLowerCase();
    
    if (input.includes('code') || input.includes('programming') || input.includes('software')) {
      return 'software-engineering';
    }
    if (input.includes('data') || input.includes('analysis') || input.includes('statistics')) {
      return 'data-science';
    }
    if (input.includes('design') || input.includes('user') || input.includes('interface')) {
      return 'design';
    }
    
    return 'general';
  }

  /**
   * Identify uncertainty factors
   */
  private identifyUncertaintyFactors(request: CognitiveRequest): string[] {
    const factors = [];
    
    if (!request.context || Object.keys(request.context).length === 0) {
      factors.push('Limited context information');
    }
    
    if (request.input.length < 50) {
      factors.push('Brief input may lack detail');
    }
    
    if (request.input.includes('?') || request.input.includes('maybe') || request.input.includes('possibly')) {
      factors.push('Uncertainty expressed in input');
    }
    
    return factors;
  }

  /**
   * Cleanup session resources
   */
  private cleanupSession(sessionId: string): void {
    this.activeSessions.delete(sessionId);
  }

  /**
   * Get framework information
   */
  getFrameworkInfo(): any {
    return {
      cognitiveTraits: this.framework.identity.cognitiveTraits.length,
      principles: this.framework.principles.principles.length,
      heuristics: this.framework.heuristics.heuristics.length,
      protocols: this.framework.protocols.protocols.length,
      workflows: this.framework.workflows.workflows.length,
      activeSessions: this.activeSessions.size
    };
  }

  /**
   * Get cache statistics
   */
  getCacheStats(): any {
    return this.cache.getStats();
  }
}