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copycat/copycat/randomness_README.md

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Randomness System

Overview

The randomness system is a utility component of the Copycat architecture that provides controlled random number generation and probabilistic operations. This system ensures consistent and reproducible random behavior across the analogical reasoning process.

Key Features

  • Random number generation
  • Probability distributions
  • State management
  • Seed control
  • Reproducibility

Operation Types

  1. Basic Operations

    • Random number generation
    • Probability sampling
    • Distribution selection
    • State initialization
  2. Advanced Operations

    • Weighted selection
    • Distribution mixing
    • State transitions
    • Pattern generation
  3. Special Operations

    • Seed management
    • State persistence
    • Debug control
    • Test reproducibility

Usage

Random operations are performed through the randomness system:

# Generate a random number
value = randomness.random()

# Sample from a distribution
sample = randomness.sample(distribution)

# Set random seed
randomness.set_seed(seed)

Dependencies

  • Python 3.x
  • No external dependencies required
  • Codelets: Use randomness for selection
  • Temperature: Uses randomness for control
  • Statistics: Uses randomness for sampling
  • Workspace: Uses randomness for operations