Module reflection_engine

Module reflection_engine 

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Reflection & Insight Generation Engine

This module implements a cognitive architecture for generating higher-level insights from accumulated memories through reflection processes. The design is based on:

§Cognitive Science Foundation

§Core Research

  1. Metacognition Theory (Flavell, 1979): Thinking about thinking processes
  2. Elaborative Processing (Craik & Lockhart, 1972): Deeper processing creates stronger memories
  3. Schema Theory (Bartlett, 1932): Knowledge organized in interconnected structures
  4. Constructive Memory (Schacter, 1999): Memory reconstruction creates new insights
  5. Knowledge Graph Theory (Semantic Networks): Conceptual relationships enable inference

§Reflection Triggers

  • Importance Accumulation: Sum > 150 points triggers reflection
  • Semantic Clustering: Dense clusters of related memories
  • Temporal Patterns: Recurring themes over time
  • Contradiction Detection: Conflicting information requiring resolution
  • Gap Identification: Missing knowledge in established schemas

§Architecture Components

§1. Reflection Trigger System

Monitors memory accumulation and identifies when reflection should occur

§2. Memory Clustering Engine

Groups semantically related memories for insight generation

§3. Insight Generation Pipeline

  • Pattern Detection: Identifies recurring themes and relationships
  • Gap Analysis: Finds missing connections in knowledge structures
  • Synthesis: Combines related concepts into higher-level insights
  • Validation: Ensures insights are novel and meaningful

§4. Knowledge Graph Builder

Creates and maintains bidirectional relationships between memories and insights

§5. Meta-Memory Manager

Handles insight storage, retrieval, and relationship tracking

Structs§

Insight
Insight generation result
KnowledgeEdge
Edges in the knowledge graph
KnowledgeGraph
Knowledge graph management
KnowledgeNode
Knowledge graph node representing concepts and relationships
MemoryCluster
Memory cluster for insight generation
ReflectionConfig
Configuration for reflection and insight generation
ReflectionEngine
Main reflection and insight generation engine
ReflectionSession
Reflection session state
ValidationMetrics
Metrics for validating insight quality

Enums§

InsightType
Types of insights that can be generated
NodeType
Types of knowledge nodes
ReflectionStatus
Status of reflection session
RelationshipType
Types of relationships in the knowledge graph