| name | Active Inference in Golang |
| description | Golang implementation of Active Inference with belief updating, free energy minimization, and policy selection |
Active Inference in Golang
Overview
This skill provides a complete Active Inference implementation in Golang,
demonstrating Bayesian belief updating, variational free energy calculation,
and expected free energy-based policy selection.
Core Algorithms
- Belief Updating: Bayesian inference using observation likelihoods to update posterior beliefs
- Free Energy Calculation: KL divergence between posterior beliefs and prior distribution
- Policy Selection: Softmax action selection over expected free energy per action
- Perception-Action Loop: Iterative sense → infer → act cycle with generative model
Key Files
GoLang_Agent.go — Source implementation
GoLang_Thing.go — Source implementation
run.sh — Execution script (handles compilation if needed)
README.md — Usage documentation and requirements
Usage
cd 0_CONTEXT/Computer_Languages/Golang/
./run.sh
Language-Specific Features
- Compiled for high performance
- Direct memory management
- Low-level optimization opportunities
Integration
- Tested via
master_controller.py test golang
- Benchmarked via
benchmark_suite.py
- Listed in
languages.json under category "Systems"
Prerequisites
See README.md for Golang-specific installation requirements.