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/*
* SPDX-License-Identifier: MIT
* Copyright (c) 2023 - 2026. The DeepCausality Authors and Contributors. All Rights Reserved.
*/
use crate::;
/// The `CyberneticLoop` trait models a complete feedback control system involving 5 distinct components.
///
/// # Category Theory
/// This models a **Feedback Loop** in a Monoidal Category, often represented using **String Diagrams**.
/// It closes the loop between Sensing, Processing, and Actuation, accounting for Entropy.
///
/// # Components
/// 1. **Sensor ($S$)**: The raw input data.
/// 2. **Belief ($B$)**: The internal model or state estimate.
/// 3. **Context ($C$)**: The external configuration or laws.
/// 4. **Action ($A$)**: The output command.
/// 5. **Entropy ($E$)**: The error or noise in the system.
///
/// # Use Cases
/// * **Autonomous Agents**: The OODA Loop (Observe, Orient, Decide, Act).
/// * **Quantum Error Correction**: Syndrome Measurement ($S$) -> Decoder ($B$) -> Correction ($A$).
/// * **Control Theory**: PID Controllers with noise estimation.