UNPKG

thoughtmcp

Version:

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

128 lines 4.18 kB
/** * Emotional Processing System Implementation * * Implements emotional processing capabilities including: * - Emotional content assessment * - Emotional state tracking and management * - Somatic marker system for decision biasing * - Emotional modulation of reasoning processes * - Affective influence on cognitive processing */ import { ComponentStatus, IEmotionalProcessor, SomaticMarker } from "../interfaces/cognitive.js"; import { EmotionalState, ReasoningStep } from "../types/core.js"; export interface EmotionalAssessment { valence: number; arousal: number; dominance: number; specific_emotions: Map<string, number>; confidence: number; emotional_keywords: string[]; } export interface EmotionalContext { current_state: EmotionalState; previous_states: EmotionalState[]; emotional_trajectory: EmotionalTrajectory; contextual_factors: Map<string, number>; } export interface EmotionalTrajectory { valence_trend: number; arousal_trend: number; stability: number; duration_ms: number; } export interface DecisionOption { id: string; content: unknown; logical_score: number; context: Record<string, unknown>; } export interface EmotionalMemory { pattern: string; emotional_outcome: EmotionalState; decision_quality: number; frequency: number; last_accessed: number; confidence: number; } /** * EmotionalProcessor implements emotional processing and somatic marker systems * Provides emotional assessment, state tracking, and decision modulation */ export declare class EmotionalProcessor implements IEmotionalProcessor { private current_emotional_state; private emotional_history; private somatic_memory; private emotional_lexicon; private decay_rate; private history_size; private modulation_strength; private first_state_timestamp; private status; constructor(); /** * Initialize the emotional processor with configuration */ initialize(config: Record<string, unknown>): Promise<void>; /** * Main processing method - assess emotional content and update state */ process(input: string): Promise<EmotionalState>; /** * Assess emotional content of input text * Analyzes text for emotional indicators and computes emotional dimensions */ assessEmotion(input: string): EmotionalState; /** * Apply somatic markers to decision options * Provides "gut feeling" biases based on past emotional experiences */ applySomaticMarkers(options: unknown[]): SomaticMarker[]; /** * Modulate reasoning processes based on emotional context * Applies emotional biases to reasoning steps */ modulateReasoning(reasoning: ReasoningStep[], emotion: EmotionalState): ReasoningStep[]; /** * Update current emotional state * Integrates new emotional information with current state */ updateEmotionalState(newState: Partial<EmotionalState>): void; /** * Reset processor state */ reset(): void; /** * Get current component status */ getStatus(): ComponentStatus; /** * Get current emotional state */ getCurrentEmotionalState(): EmotionalState; /** * Get emotional trajectory over time */ getEmotionalTrajectory(): EmotionalTrajectory; private initializeEmotionalLexicon; private initializeSomaticSystem; private tokenizeForEmotion; private getEmotionalInfo; private computeContextualModifiers; private clampEmotion; private extractDecisionPattern; private retrieveEmotionalMemory; private computeEmotionalValue; private computeStateModulation; private computeEmotionalBias; private integrateEmotionalDimension; private integrateSpecificEmotions; private applyEmotionalDecay; private computeTrend; private computeStability; /** * Store emotional outcome for future somatic marker use */ storeEmotionalOutcome(decision_pattern: string, outcome: EmotionalState, quality: number): void; private integrateEmotionalOutcome; } //# sourceMappingURL=EmotionalProcessor.d.ts.map