CoolOppo · September 2, 2024 16:36
diff --git a/thinking2.ts b/thinking2.ts
 /*
 * Human Cognitive Thinking Patterns
 * =================================
 *
 * This cheatsheet outlines various cognitive thinking patterns observed in human cognition,
 * represented through TypeScript code analogies. The patterns covered include:
 *
 * 1. Association and Memory Retrieval
 * 2. Decision Making and Problem Solving
 * 3. Emotional Processing
 * 4. Attention and Focus
 * 5. Learning and Adaptation
 * 6. Creativity and Imagination
 * 7. Social Cognition
 * 8. Metacognition
 *
 * Each pattern is explained in detail, including its purpose, pros and cons, and related patterns.
 * Code examples are provided to illustrate the conceptual representation of these thinking processes.
 */

 // Basic types and interfaces used throughout the examples
 type Emotion = 'happy' | 'sad' | 'angry' | 'fearful' | 'disgusted' | 'surprised';
 type Stimulus = any;
 type Memory = any;
 type Thought = any;
 type Action = any;
 type Belief = any;
 type Skill = any;

 interface Brain {
  processStimulus(stimulus: Stimulus): void;
  retrieveMemory(cue: any): Memory | null;
  makeDecision(options: any[]): any;
  learn(experience: any): void;
  focus(target: any): void;
  imagine(concept: any): Thought;
  reflect(): void;
 }

 /*
 * 1. Association and Memory Retrieval
 * ===================================
 *
 * This pattern represents how humans associate ideas and retrieve memories based on cues.
 * It's fundamental to many cognitive processes, including learning and problem-solving.
 *
 * Pros:
 * - Enables quick recall of relevant information
 * - Facilitates learning through connection of new and existing knowledge
 * - Supports creative thinking by linking seemingly unrelated concepts
 *
 * Cons:
 * - Can lead to biased thinking if associations are overly rigid
 * - May result in false memories or incorrect recall
 * - Can be influenced by emotional states, potentially distorting recall
 *
 * Related Patterns:
 * - Closely linked to Learning and Adaptation
 * - Supports Decision Making and Problem Solving
 * - Influences Creativity and Imagination
 */

 class AssociativeMemory {
  private memories: Map<string, Memory> = new Map();

  // Store a new memory with associated keywords
  storeMemory(memory: Memory, keywords: string[]): void {
    keywords.forEach(keyword => {
      if (!this.memories.has(keyword)) {
        this.memories.set(keyword, []);
      }
      this.memories.get(keyword)!.push(memory);
    });
  }

  // Retrieve memories based on a cue (keyword)
  retrieveMemories(cue: string): Memory[] {
    return this.memories.get(cue) || [];
  }

  // Associate two concepts by linking their keywords
  associate(concept1: string, concept2: string): void {
    const memories1 = this.retrieveMemories(concept1);
    const memories2 = this.retrieveMemories(concept2);

    // Cross-associate memories
    memories1.forEach(memory => this.storeMemory(memory, [concept2]));
    memories2.forEach(memory => this.storeMemory(memory, [concept1]));
  }
 }

 // Example usage
 const associativeMemory = new AssociativeMemory();

 // Storing memories
 associativeMemory.storeMemory("The sky is blue", ["sky", "blue", "color"]);
 associativeMemory.storeMemory("The ocean is blue", ["ocean", "blue", "water"]);

 // Retrieving memories
 console.log(associativeMemory.retrieveMemories("blue"));
 // Output: ["The sky is blue", "The ocean is blue"]

 // Associating concepts
 associativeMemory.associate("sky", "ocean");

 /*
 * 2. Decision Making and Problem Solving
 * ======================================
 *
 * This pattern represents how humans make decisions and solve problems by evaluating
 * options, considering consequences, and applying heuristics or algorithms.
 *
 * Pros:
 * - Enables navigation of complex situations
 * - Supports goal-directed behavior
 * - Can be optimized through experience and learning
 *
 * Cons:
 * - Susceptible to cognitive biases
 * - May be influenced by emotional states
 * - Can be computationally expensive for complex problems
 *
 * Related Patterns:
 * - Utilizes Association and Memory Retrieval for accessing relevant information
 * - Influenced by Emotional Processing
 * - Can be improved through Metacognition
 */

 class DecisionMaker {
  private goals: string[] = [];
  private beliefs: Map<string, number> = new Map(); // Belief strength from 0 to 1

  constructor(private brain: Brain) {}

  // Add a goal to the decision-maker
  addGoal(goal: string): void {
    this.goals.push(goal);
  }

  // Update a belief and its strength
  updateBelief(belief: string, strength: number): void {
    this.beliefs.set(belief, Math.max(0, Math.min(1, strength)));
  }

  // Make a decision based on current goals, beliefs, and available options
  makeDecision(options: Action[]): Action {
    const scoredOptions = options.map(option => ({
      option,
      score: this.evaluateOption(option)
    }));

    // Sort options by score in descending order
    scoredOptions.sort((a, b) => b.score - a.score);

    return scoredOptions[0].option;
  }

  private evaluateOption(option: Action): number {
    let score = 0;

    // Evaluate how well the option aligns with current goals
    this.goals.forEach(goal => {
      const alignment = this.assessAlignment(option, goal);
      score += alignment;
    });

    // Factor in beliefs
    this.beliefs.forEach((strength, belief) => {
      const relevance = this.assessRelevance(option, belief);
      score += strength * relevance;
    });

    // Retrieve relevant memories to inform the decision
    const relevantMemories = this.brain.retrieveMemory(option);
    if (relevantMemories) {
      score += this.evaluateMemories(relevantMemories);
    }

    return score;
  }

  private assessAlignment(option: Action, goal: string): number {
    // Implementation of assessing how well an option aligns with a goal
    // This would involve complex logic based on the nature of the goal and option
    return Math.random(); // Placeholder implementation
  }

  private assessRelevance(option: Action, belief: string): number {
    // Implementation of assessing how relevant a belief is to an option
    // This would involve analyzing the relationship between the belief and the option
    return Math.random(); // Placeholder implementation
  }

  private evaluateMemories(memories: Memory): number {
    // Implementation of evaluating memories to inform the decision
    // This would involve analyzing past experiences related to the current decision
    return Math.random(); // Placeholder implementation
  }
 }

 // Example usage
 const brain: Brain = {
  // ... implementation of Brain interface methods
 } as Brain;

 const decisionMaker = new DecisionMaker(brain);

 decisionMaker.addGoal("Stay healthy");
 decisionMaker.updateBelief("Exercise is good", 0.9);
 decisionMaker.updateBelief("Junk food is bad", 0.8);

 const options: Action[] = [
  "Go for a run",
  "Watch TV",
  "Eat a salad",
  "Order fast food"
 ];

 const decision = decisionMaker.makeDecision(options);
 console.log("Decided action:", decision);

 /*
 * 3. Emotional Processing
 * =======================
 *
 * This pattern represents how humans process and respond to emotions, which play a
 * crucial role in decision-making, memory formation, and social interactions.
 *
 * Pros:
 * - Provides rapid assessment of situations
 * - Enhances memory formation and recall
 * - Facilitates social bonding and communication
 *
 * Cons:
 * - Can lead to irrational decision-making if unchecked
 * - May cause cognitive biases
 * - Can be difficult to regulate in some individuals
 *
 * Related Patterns:
 * - Influences Decision Making and Problem Solving
 * - Affects Association and Memory Retrieval
 * - Plays a role in Social Cognition
 */

 class EmotionalProcessor {
  private currentEmotion: Emotion | null = null;
  private emotionalMemories: Map<Emotion, Memory[]> = new Map();

  // Process a stimulus and generate an emotional response
  processStimulus(stimulus: Stimulus): Emotion {
    const emotion = this.evaluateStimulus(stimulus);
    this.currentEmotion = emotion;
    this.storeEmotionalMemory(stimulus, emotion);
    return emotion;
  }

  // Regulate the current emotional state
  regulateEmotion(desiredIntensity: number): void {
    if (this.currentEmotion) {
      // Implementation of emotion regulation techniques
      // This could involve cognitive reappraisal, mindfulness, etc.
      console.log(`Regulating ${this.currentEmotion} to intensity ${desiredIntensity}`);
    }
  }

  // Retrieve memories associated with a specific emotion
  retrieveEmotionalMemories(emotion: Emotion): Memory[] {
    return this.emotionalMemories.get(emotion) || [];
  }

  private evaluateStimulus(stimulus: Stimulus): Emotion {
    // Complex logic to evaluate the emotional significance of a stimulus
    // This would involve assessing various aspects of the stimulus and context
    return ['happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'][Math.floor(Math.random() * 6)] as Emotion;
  }

  private storeEmotionalMemory(stimulus: Stimulus, emotion: Emotion): void {
    if (!this.emotionalMemories.has(emotion)) {
      this.emotionalMemories.set(emotion, []);
    }
    this.emotionalMemories.get(emotion)!.push(stimulus);
  }
 }

 // Example usage
 const emotionalProcessor = new EmotionalProcessor();

 const stimulus = "Received a promotion at work";
 const emotion = emotionalProcessor.processStimulus(stimulus);
 console.log(`Emotional response to "${stimulus}": ${emotion}`);

 emotionalProcessor.regulateEmotion(0.5);

 const happyMemories = emotionalProcessor.retrieveEmotionalMemories('happy');
 console.log("Happy memories:", happyMemories);

 /*
 * 4. Attention and Focus
 * ======================
 *
 * This pattern represents how humans direct and maintain attention on specific
 * stimuli or tasks, filtering out irrelevant information.
 *
 * Pros:
 * - Allows for deep concentration on important tasks
 * - Enhances information processing and learning
 * - Helps in achieving goals by prioritizing relevant stimuli
 *
 * Cons:
 * - Limited capacity; can lead to overlooking important information
 * - Susceptible to distractions and interruptions
 * - Can be depleted over time, leading to mental fatigue
 *
 * Related Patterns:
 * - Supports Learning and Adaptation by focusing on relevant information
 * - Influences Decision Making and Problem Solving by directing cognitive resources
 * - Can be improved through Metacognition
 */

 class AttentionManager {
  private focusTarget: any | null = null;
  private distractions: any[] = [];
  private attentionSpan: number = 100; // Arbitrary units

  // Focus attention on a specific target
  focus(target: any): void {
    this.focusTarget = target;
    console.log(`Focusing on: ${target}`);
  }

  // Process incoming stimuli, filtering based on current focus
  processStimulus(stimulus: Stimulus): void {
    if (this.isRelevantToFocus(stimulus)) {
      this.attendToStimulus(stimulus);
    } else {
      this.distractions.push(stimulus);
    }
  }

  // Shift focus to a new target
  shiftFocus(newTarget: any): void {
    console.log(`Shifting focus from ${this.focusTarget} to ${newTarget}`);
    this.focus(newTarget);
  }

  // Attempt to resist a distraction
  resistDistraction(distraction: any): boolean {
    const resistanceStrength = this.calculateResistanceStrength();
    const distractionStrength = this.evaluateDistractionStrength(distraction);

    if (resistanceStrength > distractionStrength) {
      console.log(`Successfully resisted distraction: ${distraction}`);
      return true;
    } else {
      console.log(`Failed to resist distraction: ${distraction}`);
      this.shiftFocus(distraction);
      return false;
    }
  }

  private isRelevantToFocus(stimulus: Stimulus): boolean {
    // Implementation to determine if a stimulus is relevant to the current focus
    // This would involve comparing properties of the stimulus to the focus target
    return Math.random() > 0.5; // Placeholder implementation
  }

  private attendToStimulus(stimulus: Stimulus): void {
    // Process the attended stimulus
    console.log(`Attending to stimulus: ${stimulus}`);
    this.attentionSpan -= 10; // Decrease attention span as we process stimuli
  }

  private calculateResistanceStrength(): number {
    // Calculate the current strength of focus based on various factors
    return this.attentionSpan * Math.random();
  }

  private evaluateDistractionStrength(distraction: any): number {
    // Evaluate how strong or compelling a distraction is
    return Math.random() * 100;
  }
 }

 // Example usage
 const attentionManager = new AttentionManager();

 attentionManager.focus("Reading a book");
 attentionManager.processStimulus("Words on the page");
 attentionManager.processStimulus("Phone notification");
 attentionManager.resistDistraction("Loud noise outside");

 /*
 * 5. Learning and Adaptation
 * ==========================
 *
 * This pattern represents how humans acquire new knowledge, skills, and behaviors
 * through experience and adapt to changing environments.
 *
 * Pros:
 * - Enables continuous improvement and growth
 * - Allows for adaptation to new situations and environments
 * - Enhances problem-solving abilities over time
 *
 * Cons:
 * - Can be slow and require significant effort
 * - May lead to overlearning or overfitting to specific contexts
 * - Can be influenced by biases and misconceptions
 *
 * Related Patterns:
 * - Utilizes Association and Memory Retrieval for integrating new information
 * - Influences Decision Making and Problem Solving by improving knowledge and skills
 * - Can be enhanced through Metacognition
 */

 class LearningSystem {
  private knowledge: Map<string, any> = new Map();
  private skills: Map<string, number> = new Map(); // Skill levels from 0 to 1

  // Learn new information or update existing knowledge
  learnKnowledge(concept: string, information: any): void {
    if (this.knowledge.has(concept)) {
      this.integrateNewInformation(concept, information);
    } else {
      this.knowledge.set(concept, information);
    }
    console.log(`Learned about: ${concept}`);
  }

  // Practice a skill to improve proficiency
  practiceSkill(skill: string, duration: number): void {
    const currentLevel = this.skills.get(skill) || 0;
    const improvement = this.calculateImprovement(currentLevel, duration);
    this.skills.set(skill, Math.min(1, currentLevel + improvement));
    console.log(`Practiced ${skill}. New level: ${this.skills.get(skill)}`);
  }

  // Apply learned knowledge and skills to a new situation
  applyLearning(situation: any): any {
    const relevantKnowledge = this.retrieveRelevantKnowledge(situation);
    const applicableSkills = this.identifyApplicableSkills(situation);

    // Combine knowledge and skills to generate a response
    const response = this.synthesizeResponse(relevantKnowledge, applicableSkills);
    
    // Learn from the application
    this.reflectOnApplication(situation, response);

    return response;
  }

  private integrateNewInformation(concept: string, newInfo: any): void {
    const existingInfo = this.knowledge.get(concept);
    // Complex logic to merge existing and new information, resolving conflicts
    this.knowledge.set(concept, { ...existingInfo, ...newInfo });
  }

  private calculateImprovement(currentLevel: number, duration: number): number {
    // Implementation of a learning curve algorithm
    // This could factor in current level, practice duration, and other variables
    return Math.min(1 - currentLevel, duration * 0.01 * (1 - currentLevel));
  }

  private retrieveRelevantKnowledge(situation: any): any[] {
    // Implementation to identify and retrieve knowledge relevant to the situation
    return Array.from(this.knowledge.entries())
      .filter(([concept, _]) => this.isRelevantToConcept(situation, concept))
      .map(([_, info]) => info);
  }

  private identifyApplicableSkills(situation: any): [string, number][] {
    // Implementation to identify skills applicable to the situation
    return Array.from(this.skills.entries())
      .filter(([skill, _]) => this.isSkillApplicable(situation, skill));
  }

  private synthesizeResponse(knowledge: any[], skills: [string, number][]): any {
    // Complex logic to combine knowledge and skills into a response
    // This would involve weighing different factors and making decisions
    return { knowledge, skills }; // Placeholder implementation
  }

  private reflectOnApplication(situation: any, response: any): void {
    // Implementation to learn from the application of knowledge and skills
    // This could involve updating knowledge or adjusting skill levels
    console.log(`Reflected on application to situation: ${JSON.stringify(situation)}`);
  }

  private isRelevantToConcept(situation: any, concept: string): boolean {
    // Implementation to determine if a concept is relevant to a situation
    return Math.random() > 0.5; // Placeholder implementation
  }

  private isSkillApplicable(situation: any, skill: string): boolean {
    // Implementation to determine if a skill is applicable to a situation
    return Math.random() > 0.5; // Placeholder implementation
  }
 }

 // Example usage
 const learningSystem = new LearningSystem();

 learningSystem.learnKnowledge("Python", { syntax: "...", paradigm: "Object-oriented" });
 learningSystem.practiceSkill("Coding", 2);

 const codingProblem = { type: "Algorithm", difficulty: "Medium" };
 const solution = learningSystem.applyLearning(codingProblem);
 console.log("Solution:", solution);

 /*
 * 6. Creativity and Imagination
 * =============================
 *
 * This pattern represents how humans generate novel ideas, combine concepts in unique ways,
 * and imagine hypothetical scenarios.
 *
 * Pros:
 * - Enables problem-solving through novel approaches
 * - Supports innovation and artistic expression
 * - Allows for mental simulation of future scenarios
 *
 * Cons:
 * - Can lead to impractical or unrealistic ideas if unchecked
 * - May be limited by existing knowledge and experiences
 * - Can be influenced by biases and preconceptions
 *
 * Related Patterns:
 * - Utilizes Association and Memory Retrieval for combining existing concepts
 * - Supports Decision Making and Problem Solving by generating alternative solutions
 * - Can be enhanced through Learning and Adaptation
 */

 class CreativeEngine {
  private concepts: Set<string> = new Set();
  private associations: Map<string, Set<string>> = new Map();

  // Add a new concept to the creative engine
  addConcept(concept: string): void {
    this.concepts.add(concept);
  }

  // Create an association between two concepts
  associate(concept1: string, concept2: string): void {
    if (!this.associations.has(concept1)) {
      this.associations.set(concept1, new Set());
    }
    if (!this.associations.has(concept2)) {
      this.associations.set(concept2, new Set());
    }
    this.associations.get(concept1)!.add(concept2);
    this.associations.get(concept2)!.add(concept1);
  }

  // Generate a new idea by combining existing concepts
  generateIdea(): string {
    const conceptArray = Array.from(this.concepts);
    const concept1 = conceptArray[Math.floor(Math.random() * conceptArray.length)];
    const concept2 = conceptArray[Math.floor(Math.random() * conceptArray.length)];
    return this.combineConceptsCreatively(concept1, concept2);
  }

  // Imagine a hypothetical scenario
  imagineScenario(baseContext: string): string {
    const relatedConcepts = this.getRelatedConcepts(baseContext);
    return this.constructScenario(baseContext, relatedConcepts);
  }

  private combineConceptsCreatively(concept1: string, concept2: string): string {
    // Implementation of creative combination of concepts
    // This could involve analyzing properties, functions, or metaphorical relationships
    return `A ${concept1} that ${concept2}s`; // Simplified example
  }

  private getRelatedConcepts(concept: string): string[] {
    return Array.from(this.associations.get(concept) || []);
  }

  private constructScenario(baseContext: string, relatedConcepts: string[]): string {
    // Implementation to construct a hypothetical scenario
    // This would involve weaving together the base context and related concepts
    const randomConcept = relatedConcepts[Math.floor(Math.random() * relatedConcepts.length)];
    return `Imagine a world where ${baseContext} is influenced by ${randomConcept}...`;
  }
 }

 // Example usage
 const creativeEngine = new CreativeEngine();

 creativeEngine.addConcept("tree");
 creativeEngine.addConcept("computer");
 creativeEngine.addConcept("music");

 creativeEngine.associate("tree", "computer");
 creativeEngine.associate("computer", "music");

 const newIdea = creativeEngine.generateIdea();
 console.log("New idea:", newIdea);

 const scenario = creativeEngine.imagineScenario("technology");
 console.log("Imagined scenario:", scenario);

 /*
 * 7. Social Cognition
 * ===================
 *
 * This pattern represents how humans understand and interact with others, including
 * theory of mind, empathy, and social norm processing.
 *
 * Pros:
 * - Enables effective communication and collaboration
 * - Supports prediction of others' behaviors and intentions
 * - Facilitates social bonding and group cohesion
 *
 * Cons:
 * - Can lead to biases and stereotyping
 * - May be inaccurate due to misinterpretation of social cues
 * - Can be cognitively demanding in complex social situations
 *
 * Related Patterns:
 * - Influenced by Emotional Processing
 * - Utilizes Theory of Mind (a specific aspect of social cognition)
 * - Supports Decision Making in social contexts
 */

 class SocialCognitionModule {
  private socialNorms: Map<string, (action: string) => boolean> = new Map();
  private relationships: Map<string, number> = new Map(); // Relationship strength from -1 to 1

  // Interpret social cues from another person
  interpretSocialCues(person: string, cues: string[]): Map<string, string> {
    const interpretations = new Map<string, string>();
    cues.forEach(cue => {
      const interpretation = this.analyzeCue(cue, person);
      interpretations.set(cue, interpretation);
    });
    return interpretations;
  }

  // Predict another person's behavior or intention
  predictBehavior(person: string, context: string): string {
    const relationshipStrength = this.relationships.get(person) || 0;
    const possibleBehaviors = this.generatePossibleBehaviors(context);
    return this.selectMostLikelyBehavior(possibleBehaviors, relationshipStrength);
  }

  // Update relationship status with another person
  updateRelationship(person: string, event: string): void {
    const currentStrength = this.relationships.get(person) || 0;
    const impact = this.evaluateEventImpact(event);
    this.relationships.set(person, Math.max(-1, Math.min(1, currentStrength + impact)));
  }

  // Add or update a social norm
  defineSocialNorm(context: string, normChecker: (action: string) => boolean): void {
    this.socialNorms.set(context, normChecker);
  }

  // Check if an action adheres to social norms
  checkSocialNorm(context: string, action: string): boolean {
    const normChecker = this.socialNorms.get(context);
    return normChecker ? normChecker(action) : true; // Assume adherence if norm not defined
  }

  private analyzeCue(cue: string, person: string): string {
    // Implementation of cue analysis based on type of cue and relationship with person
    return `${person} might be feeling ${['happy', 'sad', 'angry'][Math.floor(Math.random() * 3)]}`;
  }

  private generatePossibleBehaviors(context: string): string[] {
    // Implementation to generate possible behaviors based on the context
    return ["help", "ignore", "confront", "collaborate"];
  }

  private selectMostLikelyBehavior(behaviors: string[], relationshipStrength: number): string {
    // Implementation to select behavior based on relationship strength and other factors
    return behaviors[Math.floor(Math.random() * behaviors.length)];
  }

  private evaluateEventImpact(event: string): number {
    // Implementation to evaluate the impact of an event on a relationship
    return Math.random() * 0.2 - 0.1; // Random impact between -0.1 and 0.1
  }
 }

 // Example usage
 const socialCognition = new SocialCognitionModule();

 socialCognition.defineSocialNorm("greeting", (action) => action.includes("hello") || action.includes("hi"));

 const cueInterpretations = socialCognition.interpretSocialCues("Alice", ["smile", "crossed arms"]);
 console.log("Cue interpretations:", cueInterpretations);

 const predictedBehavior = socialCognition.predictBehavior("Bob", "group project");
 console.log("Predicted behavior:", predictedBehavior);

 socialCognition.updateRelationship("Charlie", "helped with moving");

 const isNormAdherent = socialCognition.checkSocialNorm("greeting", "Hello, how are you?");
 console.log("Adheres to greeting norm:", isNormAdherent);

 /*
 * 8. Metacognition
 * ================
 *
 * This pattern represents how humans think about their own thinking processes,
 * including self-reflection, cognitive monitoring, and strategy selection.
 *
 * Pros:
 * - Enhances learning and problem-solving through self-awareness
 * - Supports better decision-making by evaluating thought processes
 * - Facilitates personal growth and cognitive development
 *
 * Cons:
 * - Can lead to overthinking or analysis paralysis
 * - May be inaccurate due to biases in self-perception
 * - Requires cognitive resources that could be used for primary tasks
 *
 * Related Patterns:
 * - Influences all other cognitive patterns through monitoring and regulation
 * - Particularly important for Learning and Adaptation
 * - Supports Decision Making and Problem Solving by evaluating strategies
 */

 class MetacognitionModule {
  private cognitiveStrategies: Map<string, () => void> = new Map();
  private performanceHistory: Map<string, number[]> = new Map();

  // Monitor current cognitive performance
  monitorPerformance(task: string, performanceMetric: number): void {
    if (!this.performanceHistory.has(task)) {
      this.performanceHistory.set(task, []);
    }
    this.performanceHistory.get(task)!.push(performanceMetric);
    this.evaluatePerformance(task);
  }

  // Reflect on thought processes
  reflect(): string[] {
    const insights = [];
    for (const [task, metrics] of this.performanceHistory.entries()) {
      const averagePerformance = metrics.reduce((a, b) => a + b, 0) / metrics.length;
      insights.push(`Average performance on ${task}: ${averagePerformance.toFixed(2)}`);
    }
    return insights;
  }

  // Add or update a cognitive strategy
  defineStrategy(name: string, strategy: () => void): void {
    this.cognitiveStrategies.set(name, strategy);
  }

  // Select and apply an appropriate cognitive strategy
  applyStrategy(task: string): void {
    const strategy = this.selectBestStrategy(task);
    if (strategy) {
      console.log(`Applying strategy ${strategy} for task: ${task}`);
      this.cognitiveStrategies.get(strategy)!();
    } else {
      console.log(`No suitable strategy found for task: ${task}`);
    }
  }

  private evaluatePerformance(task: string): void {
    const metrics = this.performanceHistory.get(task)!;
    if (metrics.length > 1) {
      const recentPerformance = metrics[metrics.length - 1];
      const previousPerformance = metrics[metrics.length - 2];
      if (recentPerformance < previousPerformance) {
        console.log(`Performance on ${task} has decreased. Consider changing strategy.`);
      }
    }
  }

  private selectBestStrategy(task: string): string | null {
    // Implementation to select the best strategy based on task and past performance
    // This could involve analyzing the performance history and characteristics of the task
    const strategies = Array.from(this.cognitiveStrategies.keys());
    return strategies.length > 0 ? strategies[Math.floor(Math.random() * strategies.length)] : null;
  }
 }

 // Example usage
 const metacognition = new MetacognitionModule();

 metacognition.defineStrategy("visualization", () => {
  console.log("Applying visualization strategy");
 });

 metacognition.defineStrategy("verbalization", () => {
  console.log("Applying verbalization strategy");
 });

 metacognition.monitorPerformance("problem-solving", 0.7);
 metacognition.monitorPerformance("problem-solving", 0.8);

 metacognition.applyStrategy("problem-solving");

 const reflections = metacognition.reflect();
 console.log("Reflections:", reflections);