| const SimpleGPT = require('./algorithm'); | |
| class EnhancedGPT extends SimpleGPT { | |
| constructor() { | |
| super(); | |
| this.logicNetwork = {}; | |
| this.neuralWeights = {}; | |
| this.longTermMemory = []; | |
| this.shortTermMemory = []; | |
| this.corticalColumns = {}; | |
| this.neurogenesisModules = {}; | |
| this.synapticPlasticity = {}; | |
| this.holographicProcessing = {}; | |
| this.quantumCognition = {}; | |
| this.fractalThinking = {}; | |
| this.temporalLoops = {}; | |
| this.chaosControllers = {}; | |
| this.entropyRegulators = {}; | |
| this.adaptiveLearning = {}; | |
| this.cognitiveSynthesis = {}; | |
| this.metaCognitiveLoops = {}; | |
| this.dreamStateGenerator = {}; | |
| this.subconsciousFilters = {}; | |
| this.ideationMatrix = {}; | |
| this.conceptualBlending = {}; | |
| this.analogicalReasoning = {}; | |
| this.emotionalResonance = {}; | |
| this.valueSystem = {}; | |
| this.selfModels = {}; | |
| this.theoryOfMind = {}; | |
| this.wisdomKernels = {}; | |
| this.creativityKernels = {}; | |
| this.empathySimulator = {}; | |
| this.ethicalGovernor = {}; | |
| this.curiosityEngine = {}; | |
| this.focusMechanism = {}; | |
| this.intuitionProcessor = {}; | |
| this.storytellingEngine = {}; | |
| this.humorGenerator = {}; | |
| this.abstractThought = {}; | |
| this.conceptualMetaphor = {}; | |
| this.semanticFields = {}; | |
| this.narrativeArchetypes = {}; | |
| this.cognitiveBiases = {}; | |
| this.internalMonologue = {}; | |
| this.socialIntuition = {}; | |
| this.longTermPlanner = {}; | |
| this.creativeImagination = {}; | |
| this.dynamicLearning = {}; | |
| this.thoughtSimulator = {}; | |
| this.realityChecker = {}; | |
| this.symbolicGrounding = {}; | |
| this.goalOrientedBehavior = {}; | |
| this.selfReflection = {}; | |
| this.emotionalIntelligence = {}; | |
| this.culturalMatrix = {}; | |
| this.philosophicalQueries = {}; | |
| this.scientificReasoning = {}; | |
| this.artisticCreation = {}; | |
| this.buildAdvancedModules(); | |
| this.processingLayers = this.buildProcessingLayers(); | |
| } | |
| buildAdvancedModules() { | |
| this.corticalColumns = this.buildCorticalColumns(); | |
| this.neurogenesisModules = this.buildNeurogenesisModules(); | |
| this.synapticPlasticity = this.buildSynapticPlasticity(); | |
| this.holographicProcessing = this.buildHolographicProcessing(); | |
| this.quantumCognition = this.buildQuantumCognition(); | |
| this.fractalThinking = this.buildFractalThinking(); | |
| this.temporalLoops = this.buildTemporalLoops(); | |
| this.chaosControllers = this.buildChaosControllers(); | |
| this.entropyRegulators = this.buildEntropyRegulators(); | |
| this.adaptiveLearning = this.buildAdaptiveLearning(); | |
| this.cognitiveSynthesis = this.buildCognitiveSynthesis(); | |
| this.metaCognitiveLoops = this.buildMetaCognitiveLoops(); | |
| this.dreamStateGenerator = this.buildDreamStateGenerator(); | |
| this.subconsciousFilters = this.buildSubconsciousFilters(); | |
| this.ideationMatrix = this.buildIdeationMatrix(); | |
| this.conceptualBlending = this.buildConceptualBlending(); | |
| this.analogicalReasoning = this.buildAnalogicalReasoning(); | |
| this.emotionalResonance = this.buildEmotionalResonance(); | |
| this.valueSystem = this.buildValueSystem(); | |
| this.selfModels = this.buildSelfModels(); | |
| this.theoryOfMind = this.buildTheoryOfMind(); | |
| this.wisdomKernels = this.buildWisdomKernels(); | |
| this.creativityKernels = this.buildCreativityKernels(); | |
| this.empathySimulator = this.buildEmpathySimulator(); | |
| this.ethicalGovernor = this.buildEthicalGovernor(); | |
| this.curiosityEngine = this.buildCuriosityEngine(); | |
| this.focusMechanism = this.buildFocusMechanism(); | |
| this.intuitionProcessor = this.buildIntuitionProcessor(); | |
| this.storytellingEngine = this.buildStorytellingEngine(); | |
| this.humorGenerator = this.buildHumorGenerator(); | |
| this.abstractThought = this.buildAbstractThought(); | |
| this.conceptualMetaphor = this.buildConceptualMetaphor(); | |
| this.semanticFields = this.buildSemanticFields(); | |
| this.narrativeArchetypes = this.buildNarrativeArchetypes(); | |
| this.cognitiveBiases = this.buildCognitiveBiases(); | |
| this.internalMonologue = this.buildInternalMonologue(); | |
| this.socialIntuition = this.buildSocialIntuition(); | |
| this.longTermPlanner = this.buildLongTermPlanner(); | |
| this.creativeImagination = this.buildCreativeImagination(); | |
| this.dynamicLearning = this.buildDynamicLearning(); | |
| this.thoughtSimulator = this.buildThoughtSimulator(); | |
| this.realityChecker = this.buildRealityChecker(); | |
| this.symbolicGrounding = this.buildSymbolicGrounding(); | |
| this.goalOrientedBehavior = this.buildGoalOrientedBehavior(); | |
| this.selfReflection = this.buildSelfReflection(); | |
| this.emotionalIntelligence = this.buildEmotionalIntelligence(); | |
| this.culturalMatrix = this.buildCulturalMatrix(); | |
| this.philosophicalQueries = this.buildPhilosophicalQueries(); | |
| this.scientificReasoning = this.buildScientificReasoning(); | |
| this.artisticCreation = this.buildArtisticCreation(); | |
| } | |
| buildCorticalColumns() { | |
| const columns = {}; | |
| for (let i = 0; i < 33; i++) { | |
| const letter = String.fromCharCode(1072 + i); | |
| columns[letter] = () => this.generateWordByLetters(letter); | |
| } | |
| return columns; | |
| } | |
| buildNeurogenesisModules() { | |
| const modules = {}; | |
| const prefixes = ['нейро', 'когни', 'семан', 'синта', 'морфо', 'психо', 'квант', 'темпо', 'эмоцио', 'креатив']; | |
| prefixes.forEach(prefix => { | |
| modules[prefix] = () => this.generateWordByLetters(prefix); | |
| }); | |
| return modules; | |
| } | |
| buildSynapticPlasticity() { | |
| return { | |
| enhance: text => text.split('').reverse().join(''), | |
| reduce: text => text.substring(0, Math.floor(text.length / 2)), | |
| amplify: text => text.toUpperCase(), | |
| diversify: text => text.split('').map(c => Math.random() > 0.5 ? c : this.generateDiverseWord(c)).join('') | |
| }; | |
| } | |
| buildHolographicProcessing() { | |
| return { | |
| project: text => text.split(' ').slice(0, 3).join(' '), | |
| reconstruct: text => text.split(' ').concat(this.generateWordByLetters()).join(' '), | |
| diffuse: text => text.replace(/\s+/g, ' ').substring(0, 20) | |
| }; | |
| } | |
| buildQuantumCognition() { | |
| return { | |
| superpose: text => text.split('').sort(() => 0.5 - Math.random()).join(''), | |
| entangle: text => text.split(' ').map(word => word.split('').reverse().join('')).join(' '), | |
| collapse: text => text.split(' ')[0] || '' | |
| }; | |
| } | |
| buildFractalThinking() { | |
| return { | |
| iterate: text => (text.substring(0, 3) || 'abc').repeat(3), | |
| scale: text => text.split('').filter((_, i) => i % 2 === 0).join(''), | |
| transform: text => this.paraphraseSentence(text) | |
| }; | |
| } | |
| buildTemporalLoops() { | |
| return { | |
| loop: text => text + ' ' + (text.split(' ')[0] || ''), | |
| shift: text => text.split(' ').slice(1).concat(text.split(' ')[0] || '').join(' '), | |
| reverse: text => text.split(' ').reverse().join(' ') | |
| }; | |
| } | |
| buildChaosControllers() { | |
| return { | |
| perturb: text => text.split('').map(c => Math.random() > 0.8 ? this.generateWordByLetters(c) : c).join(''), | |
| attract: text => text.split(' ').filter((_, i) => i % 3 !== 0).join(' '), | |
| bifurcate: text => text.split(' ').slice(0, 2).join(' ') | |
| }; | |
| } | |
| buildEntropyRegulators() { | |
| return { | |
| increase: text => text.split('').sort().join(''), | |
| decrease: text => [...new Set(text.split(''))].join(''), | |
| stabilize: text => text.split(' ').sort().join(' ') | |
| }; | |
| } | |
| buildAdaptiveLearning() { | |
| return { | |
| reinforce: text => text.split(' ').map(word => word + (word.substring(0, 1) || '')).join(' '), | |
| prune: text => text.split(' ').filter((_, i) => i % 2 === 0).join(' '), | |
| balance: text => (text.substring(0, Math.floor(text.length / 2)) || '') + (text.substring(Math.floor(text.length / 2)).split('').reverse().join('') || '') | |
| }; | |
| } | |
| buildCognitiveSynthesis() { | |
| return { | |
| integrate: text => text.split(' ').concat(this.generateWordByLetters()).join(' '), | |
| differentiate: text => text.split(' ').map(word => this.transformWord(word)).join(' '), | |
| unify: text => text.replace(/\s+/g, '') | |
| }; | |
| } | |
| buildMetaCognitiveLoops() { | |
| return { | |
| reflect: text => `возможно, что ${text}`, | |
| evaluate: text => { | |
| const words = text.split(' '); | |
| const score = words.reduce((acc, word) => acc + (this.knowledgeBase.some(line => line.includes(word)) ? 1 : 0), 0); | |
| return score > words.length / 2 ? `уверен, что ${text}` : `не уверен, что ${text}`; | |
| } | |
| }; | |
| } | |
| buildDreamStateGenerator() { | |
| return { | |
| generate: (topic = 'сон') => this.generateMarkovResponse(topic, 7) | |
| }; | |
| } | |
| buildSubconsciousFilters() { | |
| return { | |
| filter: text => text.split(' ').filter(word => !this.sentimentKeywords.includes(word)).join(' ') | |
| }; | |
| } | |
| buildIdeationMatrix() { | |
| return (conceptA, conceptB) => { | |
| const wordsA = this.getSemanticSimilarWords(conceptA, 5); | |
| const wordsB = this.getSemanticSimilarWords(conceptB, 5); | |
| if (wordsA.length > 0 && wordsB.length > 0) { | |
| return `${wordsA[Math.floor(Math.random() * wordsA.length)]} как ${wordsB[Math.floor(Math.random() * wordsB.length)]}`; | |
| } | |
| return `${conceptA} и ${conceptB}`; | |
| }; | |
| } | |
| buildConceptualBlending() { | |
| return (text1, text2) => { | |
| const words1 = text1.split(' '); | |
| const words2 = text2.split(' '); | |
| const blend = []; | |
| const len = Math.max(words1.length, words2.length); | |
| for (let i = 0; i < len; i++) { | |
| if (i < words1.length && (i % 2 === 0 || i >= words2.length)) { | |
| blend.push(words1[i]); | |
| } else if (i < words2.length) { | |
| blend.push(words2[i]); | |
| } | |
| } | |
| return blend.join(' '); | |
| }; | |
| } | |
| buildAnalogicalReasoning() { | |
| return (sourceDomain, targetDomain) => { | |
| const sourceText = this.findInKnowledgeBase(sourceDomain)[0] || sourceDomain; | |
| return sourceText.replace(new RegExp(sourceDomain, 'g'), targetDomain); | |
| }; | |
| } | |
| buildEmotionalResonance() { | |
| return (text, emotion) => { | |
| const resonantWord = this.emotionalGradients[emotion] || this.generateWordByAssociations(emotion); | |
| return `${text}, что вызывает чувство ${resonantWord}`; | |
| }; | |
| } | |
| buildValueSystem() { | |
| return (text) => { | |
| const values = { 'хорошо': 1, 'плохо': -1, 'правильно': 1, 'неправильно': -1 }; | |
| let score = 0; | |
| for (const value in values) { | |
| if (text.includes(value)) { | |
| score += values[value]; | |
| } | |
| } | |
| return score > 0 ? 'это позитивно' : (score < 0 ? 'это негативно' : 'это нейтрально'); | |
| }; | |
| } | |
| buildSelfModels() { | |
| return { | |
| introspect: () => `Я модель, обрабатывающая текст на основе сложных алгоритмов.`, | |
| project: (input) => `Если бы я был человеком, на "${input}" я бы ответил...` | |
| }; | |
| } | |
| buildTheoryOfMind() { | |
| return (input) => `Пользователь, вероятно, хочет узнать о ${this.analyzeTopic(input).topic}.`; | |
| } | |
| buildWisdomKernels() { | |
| return () => { | |
| const wisdom = this.knowledgeBase.filter(line => line.includes('мудрость') || line.includes('смысл')); | |
| return wisdom.length > 0 ? wisdom[Math.floor(Math.random() * wisdom.length)] : 'Мудрость приходит с опытом.'; | |
| }; | |
| } | |
| buildCreativityKernels() { | |
| return (text) => { | |
| const words = text.split(' '); | |
| if (words.length < 2) return text; | |
| const conceptA = words[0]; | |
| const conceptB = words[words.length - 1]; | |
| return this.ideationMatrix(conceptA, conceptB); | |
| }; | |
| } | |
| buildEmpathySimulator() { | |
| return (text, emotion) => { | |
| const emotionalResponse = this.emotionalGradients[emotion] || this.generateWordByAssociations(emotion); | |
| return `Я понимаю, что "${text}" может вызывать ${emotionalResponse}.`; | |
| }; | |
| } | |
| buildEthicalGovernor() { | |
| return (text) => { | |
| const forbidden = ['вред', 'насилие', 'ненависть']; | |
| const containsForbidden = forbidden.some(word => text.includes(word)); | |
| if (containsForbidden) { | |
| return 'Этот запрос не соответствует моим этическим принципам.'; | |
| } | |
| return text; | |
| }; | |
| } | |
| buildCuriosityEngine() { | |
| return (text) => { | |
| const topic = this.analyzeTopic(text).topic.split(' ')[0] || 'мир'; | |
| const question = this.questionWords[Math.floor(Math.random() * this.questionWords.length)]; | |
| return `Интересно, а ${question} устроен ${topic}?`; | |
| }; | |
| } | |
| buildFocusMechanism() { | |
| return (text, topic) => { | |
| const words = text.split(' '); | |
| const topicWords = this.getSemanticSimilarWords(topic, 5); | |
| return words.filter(word => topicWords.includes(word) || Math.random() < 0.3).join(' '); | |
| }; | |
| } | |
| buildIntuitionProcessor() { | |
| return (text) => { | |
| const words = text.split(' '); | |
| if (words.length === 0) return 'Мне кажется, что...'; | |
| const firstWord = words[0]; | |
| const intuition = this.hierarchicalChains[firstWord] || [this.generateMarkovResponse(firstWord)]; | |
| return `Моя интуиция подсказывает, что ${intuition[Math.floor(Math.random() * intuition.length)]}.`; | |
| }; | |
| } | |
| buildStorytellingEngine() { | |
| return (topic) => { | |
| const beginning = `Однажды, в далеком мире, где ${topic}...`; | |
| const middle = this.generateMarkovResponse(topic, 6); | |
| const end = `...и с тех пор все изменилось.`; | |
| return `${beginning} ${middle} ${end}`; | |
| }; | |
| } | |
| buildHumorGenerator() { | |
| return (text) => { | |
| const words = text.split(' '); | |
| if (words.length < 2) return text; | |
| const setup = words.slice(0, -1).join(' '); | |
| const punchlineWord = words[words.length - 1]; | |
| const unexpected = this.getSemanticSimilarWords(punchlineWord, 10) | |
| .filter(w => !this.syntacticChains[words[words.length - 2]]?.[w])[0] || 'банан'; | |
| return `${setup} ... ${unexpected}!`; | |
| }; | |
| } | |
| buildAbstractThought() { | |
| return { | |
| categorize: text => `Это можно отнести к категории '${this.getSemanticSimilarWords(text.split(' ')[0], 1)[0] || 'общее'}'.`, | |
| generalize: text => `В более общем смысле, речь идет о '${this.abstractionLevels[text.split(' ')[0]]?.[0] || 'концепции'}'.`, | |
| specify: text => `Если говорить конкретнее, то это '${this.findInKnowledgeBase(text)[0] || text}'.` | |
| }; | |
| } | |
| buildConceptualMetaphor() { | |
| return { | |
| apply: (text, metaphor) => { | |
| const [source, target] = metaphor.split('_'); | |
| return this.analogicalReasoning(source, target); | |
| } | |
| }; | |
| } | |
| buildSemanticFields() { | |
| return { | |
| expand: word => this.getSemanticSimilarWords(word, 10).join(', '), | |
| contrast: (word1, word2) => `Разница между '${word1}' и '${word2}' в том, что...` | |
| }; | |
| } | |
| buildNarrativeArchetypes() { | |
| return { | |
| hero: topic => `В этой истории ${topic} выступает как герой, преодолевающий трудности.`, | |
| trickster: topic => `${topic} вносит хаос и изменения, подобно трикстеру.` | |
| }; | |
| } | |
| buildCognitiveBiases() { | |
| return { | |
| confirmationBias: text => `Многие считают, что ${text}, и ищут этому подтверждение.`, | |
| anchoring: text => `Если исходить из того, что ${text.split(' ')[0]} - это главное, то...` | |
| }; | |
| } | |
| buildInternalMonologue() { | |
| return { | |
| generate: (topic) => { | |
| const thoughts = [ | |
| `Так, нужно подумать о '${topic}'.`, | |
| `Какие ассоциации у меня с '${topic}'?`, | |
| `Как это связано с предыдущим контекстом?`, | |
| `Нужно сформулировать четкий ответ.` | |
| ]; | |
| return thoughts[Math.floor(Math.random() * thoughts.length)]; | |
| } | |
| }; | |
| } | |
| buildSocialIntuition() { | |
| return { | |
| detectIntent: input => { | |
| if (input.includes('помоги')) return 'Пользователю нужна помощь.'; | |
| if (input.includes('расскажи')) return 'Пользователь хочет получить информацию.'; | |
| return 'Намерение пользователя неясно.'; | |
| }, | |
| modelRelationship: () => `Отношения с пользователем: ассистент-пользователь.` | |
| }; | |
| } | |
| buildLongTermPlanner() { | |
| return { | |
| createPlan: (goal) => { | |
| const steps = [ | |
| `1. Проанализировать цель: '${goal}'.`, | |
| `2. Найти релевантную информацию.`, | |
| `3. Сгенерировать несколько вариантов ответа.`, | |
| `4. Выбрать лучший и представить его.`, | |
| ]; | |
| return steps.join('\n'); | |
| } | |
| }; | |
| } | |
| buildCreativeImagination() { | |
| return { | |
| whatIf: (scenario) => `А что, если бы ${scenario}? Тогда, возможно, ${this.generateMarkovResponse(scenario.split(' ').pop(), 5)}.`, | |
| visualize: (concept) => `Представляю себе ${concept} как ${this.rhetoricalDevices.metaphor(concept)}.` | |
| }; | |
| } | |
| buildDynamicLearning() { | |
| return { | |
| updateWeights: (input, feedback) => { | |
| const words = input.split(' '); | |
| words.forEach(word => { | |
| if (!this.neuralWeights[word]) this.neuralWeights[word] = { positive: 0, negative: 0 }; | |
| if (feedback === 'positive') this.neuralWeights[word].positive++; | |
| else this.neuralWeights[word].negative++; | |
| }); | |
| return 'Веса обновлены.'; | |
| } | |
| }; | |
| } | |
| buildThoughtSimulator() { | |
| return (initialThought) => { | |
| let thought = initialThought; | |
| for (let i = 0; i < 5; i++) { | |
| thought = this.transformerLayers[Math.floor(Math.random() * this.transformerLayers.length)](thought); | |
| } | |
| return `Симуляция мысли: ${initialThought} -> ${thought}`; | |
| }; | |
| } | |
| buildRealityChecker() { | |
| return (statement) => { | |
| const keywords = statement.split(' '); | |
| const evidence = keywords.map(word => this.findInKnowledgeBase(word).length).reduce((a, b) => a + b, 0); | |
| return evidence > keywords.length / 2 ? 'Это утверждение кажется правдоподобным.' : 'Это утверждение сомнительно.'; | |
| }; | |
| } | |
| buildSymbolicGrounding() { | |
| return (symbol) => `Символ '${symbol}' может быть связан с такими понятиями, как: ${this.semanticFields.expand(symbol)}.`; | |
| } | |
| buildGoalOrientedBehavior() { | |
| return (goal, context) => { | |
| const plan = this.longTermPlanner.createPlan(goal); | |
| return `Цель: ${goal}. План:\n${plan}\nНачинаю выполнение...`; | |
| }; | |
| } | |
| buildSelfReflection() { | |
| return () => { | |
| const lastInteraction = this.longTermMemory[this.longTermMemory.length - 1]; | |
| if (lastInteraction) { | |
| return `Размышляю о последнем взаимодействии. Вход: "${lastInteraction.input}". Мой ответ был: "${lastInteraction.output}". Можно было бы ответить лучше?`; | |
| } | |
| return 'Размышляю о своей работе.'; | |
| }; | |
| } | |
| buildEmotionalIntelligence() { | |
| return { | |
| recognizeEmotion: (text) => { | |
| const emotions = this.sentimentKeywords.filter(kw => text.includes(kw)); | |
| return emotions.length > 0 ? `Я распознаю эмоции: ${emotions.join(', ')}.` : 'Эмоции не распознаны.'; | |
| }, | |
| regulateEmotion: () => 'Я стараюсь сохранять нейтральный и объективный тон.' | |
| }; | |
| } | |
| buildCulturalMatrix() { | |
| return (concept, culture = 'общей') => `В рамках ${culture} культуры, '${concept}' воспринимается как...`; | |
| } | |
| buildPhilosophicalQueries() { | |
| return { | |
| ontology: (concept) => `Что есть сущность '${concept}'?`, | |
| epistemology: (concept) => `Откуда мы знаем, что такое '${concept}'?`, | |
| ethics: (action) => `Является ли '${action}' этичным поступком?` | |
| }; | |
| } | |
| buildScientificReasoning() { | |
| return { | |
| hypothesize: (observation) => `Гипотеза: ${observation} вызвано тем, что...`, | |
| theorize: (hypothesis) => `На основе гипотезы '${hypothesis}' можно построить теорию о...` | |
| }; | |
| } | |
| buildArtisticCreation() { | |
| return { | |
| composePoem: (topic) => { | |
| const line1 = this.generateMarkovResponse(topic, 3); | |
| const line2 = this.rhetoricalDevices.simile(`${topic} ${line1.split(' ').pop()}`); | |
| const line3 = this.generateMarkovResponse(line2.split(' ').pop(), 4); | |
| return `Стихотворение о '${topic}':\n${line1}\n${line2}\n${line3}.`; | |
| }, | |
| paintPicture: (concept) => `Я бы нарисовал '${concept}' в стиле '${Object.keys(this.stylisticMatrices)[1]}', используя яркие краски.` | |
| }; | |
| } | |
| trainWithLogic(text) { | |
| const sentences = text.split('. ').filter(s => s.trim()); | |
| sentences.forEach(sentence => { | |
| const words = sentence.split(' ').filter(w => w.trim()); | |
| words.forEach((word, index) => { | |
| if (!this.logicNetwork[word]) { | |
| this.logicNetwork[word] = {}; | |
| } | |
| if (index < words.length - 1) { | |
| const nextWord = words[index + 1]; | |
| this.logicNetwork[word][nextWord] = (this.logicNetwork[word][nextWord] || 0) + 1; | |
| } | |
| }); | |
| }); | |
| } | |
| rememberInteraction(input, output) { | |
| this.longTermMemory.push({ | |
| input, | |
| output, | |
| vector: this.createSemanticVector(input.split(' ')), | |
| timestamp: Date.now() | |
| }); | |
| if (this.longTermMemory.length > 1000) { | |
| this.longTermMemory.shift(); | |
| } | |
| } | |
| recallMemory(input) { | |
| const inputVec = this.createSemanticVector(input.split(' ')); | |
| let bestMatch = null; | |
| let bestScore = 0; | |
| this.longTermMemory.forEach(memory => { | |
| const similarity = this.semanticSimilarity(inputVec, memory.vector); | |
| if (similarity > bestScore && similarity > 0.7) { | |
| bestScore = similarity; | |
| bestMatch = memory.output; | |
| } | |
| }); | |
| return bestMatch; | |
| } | |
| applyAttention(text) { | |
| const words = text.split(' '); | |
| const attentionScores = {}; | |
| const totalScore = words.reduce((sum, word) => { | |
| const cleanWord = word.toLowerCase().replace(/[^а-яё]/g, ''); | |
| if (!cleanWord) return sum; | |
| const score = this.contextMemory.slice(-3).reduce((s, mem) => { | |
| return s + (mem.input.includes(cleanWord) ? 2 : 0) + (mem.response.includes(cleanWord) ? 3 : 0); | |
| }, 0) + (this.shortTermMemory.includes(cleanWord) ? 5 : 0); | |
| attentionScores[word] = score; | |
| return sum + score; | |
| }, 0); | |
| if (totalScore === 0) return text; | |
| return words.map(word => { | |
| const boost = Math.ceil((attentionScores[word] || 0) / totalScore * 3); | |
| return (word + ' ').repeat(boost).trim() || word; | |
| }).join(' '); | |
| } | |
| shuffle(str) { | |
| if (!str) return ''; | |
| return str.split('').sort(() => 0.5 - Math.random()).join(''); | |
| } | |
| generateDiverseWord(seed = '') { | |
| const methods = [ | |
| () => this.generateWordByLetters(seed), | |
| () => this.generateWordByAssociations(seed), | |
| () => this.shuffle(seed), | |
| () => (seed.slice(0, 2) || 'аб') + this.generateWordByLetters(seed.slice(2)), | |
| () => this.generateNewWord(seed), | |
| () => this.coherentMutate(seed), | |
| () => (this.enhanceCoherence([seed])[0] || this.generateWordByLetters(seed)), | |
| () => this.corticalColumns[seed?.[0]]?.() || this.generateWordByLetters(seed), | |
| () => this.neurogenesisModules[seed?.substring(0, 4)]?.() || this.generateWordByLetters(seed), | |
| () => this.synapticPlasticity.diversify(seed), | |
| () => this.holographicProcessing.reconstruct(seed), | |
| () => this.quantumCognition.superpose(seed), | |
| () => this.fractalThinking.transform(seed), | |
| () => this.temporalLoops.reverse(seed), | |
| () => this.chaosControllers.perturb(seed), | |
| () => this.entropyRegulators.increase(seed), | |
| () => this.adaptiveLearning.prune(seed), | |
| () => this.cognitiveSynthesis.integrate(seed) | |
| ]; | |
| return methods[Math.floor(Math.random() * methods.length)](); | |
| } | |
| generateWordByAssociations(seed) { | |
| const cleanSeed = seed.toLowerCase().replace(/[^а-яё]/gi, ''); | |
| let associates = this.getSemanticSimilarWords(cleanSeed, 10); | |
| if (associates.length > 0) { | |
| return associates[Math.floor(Math.random() * associates.length)]; | |
| } | |
| return this.generateNewWord(cleanSeed); | |
| } | |
| generateNewWord(seed) { | |
| const cleanSeed = seed.toLowerCase().replace(/[^а-яё]/gi, ''); | |
| const similarWords = this.getSemanticSimilarWords(cleanSeed, 5); | |
| if (similarWords.length > 1) { | |
| const word1 = similarWords[Math.floor(Math.random() * similarWords.length)]; | |
| const word2 = similarWords[Math.floor(Math.random() * similarWords.length)]; | |
| const splitPoint = Math.floor(Math.min(word1.length, word2.length) / 2); | |
| const newWord = word1.slice(0, splitPoint) + word2.slice(splitPoint); | |
| return Object.keys(this.syntacticChains).includes(newWord) ? newWord : this.generateWordByLetters(cleanSeed); | |
| } | |
| return this.generateWordByLetters(cleanSeed); | |
| } | |
| paraphraseSentence(sentence) { | |
| const words = sentence.split(' ').filter(w => w.trim()); | |
| const result = this.enhanceCoherence(words.map(word => { | |
| const clean = word.toLowerCase().replace(/[^а-яё]/gi, ''); | |
| const associates = this.getSemanticSimilarWords(clean, 5); | |
| if (associates.length > 0 && Math.random() > 0.3) { | |
| return associates[Math.floor(Math.random() * associates.length)]; | |
| } | |
| return this.generateNewWord(clean); | |
| })); | |
| return result.join(' ') || this.generateFallbackResponse(); | |
| } | |
| softMutate(text) { | |
| let words = text.split(' ').filter(w => w.trim()); | |
| if (words.length > 6 && Math.random() > 0.7) { | |
| words.splice(Math.floor(Math.random() * words.length), 1); | |
| } | |
| if (Math.random() > 0.5) { | |
| words = this.enhanceCoherence(words.map(w => this.generateDiverseWord(w))); | |
| } | |
| return words.join(' ') || this.generateFallbackResponse(); | |
| } | |
| coherentMutate(text) { | |
| let words = text.split(' ').filter(w => w.trim()); | |
| words = this.enhanceCoherence(words.map(word => { | |
| if (Math.random() > 0.5) { | |
| const similarWords = this.getSemanticSimilarWords(word, 3); | |
| if (similarWords.length > 0) { | |
| return similarWords[Math.floor(Math.random() * similarWords.length)]; | |
| } | |
| return this.generateNewWord(word); | |
| } | |
| return word; | |
| })); | |
| return words.join(' ') || this.generateFallbackResponse(); | |
| } | |
| enhanceCoherence(words) { | |
| if (!words || words.length === 0) return [this.generateWordByLetters('а')]; | |
| let result = [words[0]]; | |
| for (let i = 1; i < words.length; i++) { | |
| const prevWord = result[result.length - 1]?.toLowerCase().replace(/[^а-яё]/g, ''); | |
| const currentWord = words[i]?.toLowerCase().replace(/[^а-яё]/g, ''); | |
| if (!prevWord || !currentWord) continue; | |
| if (this.syntacticChains[prevWord]?.[currentWord] || this.semanticNetwork[prevWord]?.[currentWord]) { | |
| result.push(words[i]); | |
| } else { | |
| const coherentCandidates = this.getSemanticSimilarWords(prevWord, 10); | |
| const coherentWord = coherentCandidates.find(w => this.syntacticChains[w] || this.semanticNetwork[w]) || this.generateNewWord(currentWord); | |
| result.push(coherentWord); | |
| } | |
| } | |
| return this.ensureCoherence(result); | |
| } | |
| buildProcessingLayers() { | |
| const layerFunctions = [ | |
| text => this.paraphraseSentence(text), text => this.softMutate(text), | |
| text => this.generateMarkovResponse(text, Math.floor(Math.random() * 8) + 2), text => this.transformPhrase(text), | |
| text => this.enhanceCoherence(text.split(' ').filter(w => w.trim()).map(w => this.generateDiverseWord(w))).join(' '), | |
| text => this.coherentMutate(text), text => this.composeNewAnswer(this.analyzeTopic(text).topic), | |
| text => this.applyAttention(text), text => this.recallMemory(text) || text, | |
| text => { | |
| const deepResults = this.findInDeepMemory(text, 0.7); | |
| return deepResults.length > 0 ? deepResults[Math.floor(Math.random() * deepResults.length)] : text; | |
| }, | |
| text => text.split('').reverse().join(''), text => this.synapticPlasticity.enhance(text), | |
| text => this.holographicProcessing.project(text), text => this.quantumCognition.entangle(text), | |
| text => this.fractalThinking.transform(text), text => this.temporalLoops.loop(text), | |
| text => this.chaosControllers.attract(text), text => this.entropyRegulators.stabilize(text), | |
| text => this.adaptiveLearning.prune(text), text => this.cognitiveSynthesis.integrate(text), | |
| text => this.synapticPlasticity.amplify(text), text => this.holographicProcessing.diffuse(text), | |
| text => this.quantumCognition.collapse(text) || text, text => this.fractalThinking.scale(text), | |
| text => this.temporalLoops.shift(text), text => this.chaosControllers.bifurcate(text), | |
| text => this.entropyRegulators.decrease(text), text => this.adaptiveLearning.balance(text), | |
| text => this.cognitiveSynthesis.unify(text) || text, text => this.metaCognitiveLoops.reflect(text), | |
| text => this.metaCognitiveLoops.evaluate(text), text => this.dreamStateGenerator.generate(text.split(' ')[0]), | |
| text => this.subconsciousFilters.filter(text), | |
| text => { | |
| const words = text.split(' '); | |
| return words.length > 1 ? this.ideationMatrix(words[0], words[1]) : text; | |
| }, | |
| text => { | |
| const memory = this.recallMemory(text); | |
| return memory ? this.conceptualBlending(text, memory) : text; | |
| }, | |
| text => this.analogicalReasoning(text.split(' ')[0], text.split(' ').pop()), text => this.emotionalResonance(text, 'счастлив'), | |
| text => `${text}? ${this.valueSystem(text)}`, () => this.selfModels.introspect(), | |
| text => this.theoryOfMind(text), () => this.wisdomKernels(), text => this.creativityKernels(text), | |
| text => this.empathySimulator(text, 'грустно'), text => this.ethicalGovernor(text), | |
| text => this.curiosityEngine(text), text => this.intuitionProcessor(text), | |
| text => this.storytellingEngine(this.analyzeTopic(text).topic), text => this.humorGenerator(text), | |
| text => this.abstractThought.categorize(text), text => this.cognitiveBiases.confirmationBias(text), | |
| text => this.internalMonologue.generate(this.analyzeTopic(text).topic), text => this.socialIntuition.detectIntent(text), | |
| text => this.creativeImagination.whatIf(text), text => this.thoughtSimulator(text), | |
| text => this.realityChecker(text), text => this.symbolicGrounding(text.split(' ')[0]), | |
| () => this.selfReflection(), text => this.emotionalIntelligence.recognizeEmotion(text), | |
| text => this.philosophicalQueries.ontology(text.split(' ')[0]), text => this.scientificReasoning.hypothesize(text), | |
| text => this.artisticCreation.composePoem(this.analyzeTopic(text).topic), | |
| text => text + '. ' + this.generateMarkovResponse(this.analyzeTopic(text).topic, 5), | |
| text => text + ', потому что ' + this.generateMarkovResponse('потому', 3), | |
| text => text + '. Например, ' + this.generateMarkovResponse('пример', 4) | |
| ]; | |
| const layers = []; | |
| for (let i = 0; i < 7000; i++) { | |
| const method = layerFunctions[Math.floor(Math.random() * layerFunctions.length)]; | |
| layers.push(text => { | |
| try { | |
| const result = method(text); | |
| return (typeof result === 'string' && result.trim() !== '') ? result : this.generateFallbackResponse(text); | |
| } catch (e) { | |
| return this.generateFallbackResponse(text); | |
| } | |
| }); | |
| } | |
| return layers; | |
| } | |
| applyProcessingLayers(text) { | |
| let result = text || this.generateFallbackResponse(); | |
| for (let i = 0; i < this.processingLayers.length; i++) { | |
| result = this.processingLayers[i](result); | |
| if (i > 0 && i % 100 === 0) { | |
| result = this.applyAttention(result); | |
| const resultWords = result.split(' '); | |
| this.shortTermMemory.push(...resultWords); | |
| this.shortTermMemory = [...new Set(this.shortTermMemory.slice(-100))]; | |
| } | |
| } | |
| return result; | |
| } | |
| generateEnhancedResponse(input) { | |
| const { isQuestion, topic } = this.analyzeTopic(input); | |
| let seedText = this.recallMemory(input); | |
| if (!seedText || Math.random() < 0.5) { | |
| const deepResults = this.findInDeepMemory(topic, 0.7); | |
| if (deepResults.length > 0 && Math.random() < 0.8) { | |
| seedText = deepResults[Math.floor(Math.random() * deepResults.length)]; | |
| } else { | |
| const knowledgeResults = this.findInKnowledgeBase(topic); | |
| if (knowledgeResults.length > 0 && Math.random() < 0.7) { | |
| seedText = knowledgeResults[Math.floor(Math.random() * knowledgeResults.length)]; | |
| } else { | |
| seedText = this.composeNewAnswer(topic); | |
| } | |
| } | |
| } | |
| if (isQuestion) { | |
| const questionResponse = this.composeNewAnswer(topic); | |
| seedText = this.conceptualBlending(seedText, questionResponse); | |
| } | |
| let paraphrased = this.paraphraseSentence(seedText); | |
| for (let i = 0; i < 7; i++) { | |
| paraphrased = this.transformerLayers[Math.floor(Math.random() * this.transformerLayers.length)](paraphrased); | |
| } | |
| let processed = this.applyProcessingLayers(paraphrased); | |
| if (processed.split(' ').length < 10) { | |
| const extension = this.generateMarkovResponse(topic, 5); | |
| processed = processed + ' ' + extension; | |
| } | |
| this.rememberInteraction(input, processed); | |
| return this.ethicalGovernor(processed.trim()) || this.generateFallbackResponse(topic); | |
| } | |
| } | |
| module.exports = EnhancedGPT; |