copycat/copycat/conceptMapping_README.md

Concept Mapping System

Overview

The concept mapping system is a crucial component of the Copycat architecture that manages the mapping between concepts and their representations in the workspace. This system handles the translation between abstract concepts and concrete instances.

Key Features

• Concept-to-instance mapping
• Mapping validation
• Relationship tracking
• State management
• Event handling

Mapping Types

1. Direct Mappings

   • Letter-to-concept mappings
   • Number-to-concept mappings
   • Symbol-to-concept mappings
   • Pattern-to-concept mappings

2. Structural Mappings

   • Group-to-concept mappings
   • Bond-to-concept mappings
   • Hierarchy-to-concept mappings
   • Pattern-to-concept mappings

3. Special Mappings

   • Rule-to-concept mappings
   • Context-to-concept mappings
   • Meta-concept mappings
   • Derived mappings

Usage

Concept mappings are created and managed through the mapping system:

# Create a new concept mapping
mapping = ConceptMapping(source, target)

# Access mapping properties
strength = mapping.get_strength()

# Modify mapping state
mapping.set_strength(new_value)

Dependencies

• Python 3.x
• No external dependencies required

Related Components

• Slipnet: Provides concepts to map
• Workspace: Provides instances to map to
• Codelets: Operate on mappings
• Correspondence: Manages mapping relationships