active-inference-in-common-lisp

name	Active Inference in Common Lisp
description	Common Lisp implementation of Active Inference with belief updating, free energy minimization, and policy selection

Active Inference in Common Lisp

Overview

This skill provides a complete Active Inference implementation in Common Lisp, demonstrating Bayesian belief updating, variational free energy calculation, and expected free energy-based policy selection.

Core Algorithms

1. Belief Updating: Bayesian inference using observation likelihoods to update posterior beliefs
2. Free Energy Calculation: KL divergence between posterior beliefs and prior distribution
3. Policy Selection: Softmax action selection over expected free energy per action
4. Perception-Action Loop: Iterative sense → infer → act cycle with generative model

Key Files

• active_inference.lisp — Source implementation
• run.sh — Execution script (handles compilation if needed)
• README.md — Usage documentation and requirements

Usage

cd 0_CONTEXT/Computer_Languages/CommonLisp/
./run.sh

Language-Specific Features

• Immutable data structures
• Pure function composition
• Strong type inference

Integration

• Tested via master_controller.py test commonlisp
• Benchmarked via benchmark_suite.py
• Listed in languages.json under category "Functional"

Prerequisites

See README.md for Common Lisp-specific installation requirements.