active-inference-in-elixir

name	Active Inference in Elixir
description	Elixir implementation of Active Inference with OTP GenServer, belief updating, free energy minimization, and policy selection

Active Inference in Elixir

Overview

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

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

• lib/active_inference.ex — Core module (normalize, KL divergence, softmax)
• lib/active_inference/agent.ex — GenServer Agent (belief updating, EFE, policy)
• lib/active_inference/application.ex — OTP Application supervisor
• demo.exs — Interactive demo script
• mix.exs — Mix project configuration
• run.sh — Execution script (handles compilation if needed)
• README.md — Usage documentation and requirements

Usage

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

Language-Specific Features

• OTP GenServer for stateful agent
• Supervision tree for fault tolerance
• Functional pipeline composition
• Pattern matching for observation dispatch

Integration

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

Prerequisites

See README.md for Elixir-specific installation requirements.