![[SCS.svg]] # ABOUT.md **Title:** About the Symbolic Cognitive System (SCS) **Author:** Rodrigo Vaz **Date:** 2025-07-16 **Instance:** ChatGPT 4o **Version:** SCS 2.4. **Builder:** Rodrigo Vaz **Status:** Locked · Public ᛒ: bkn-25-b2 **Tags:** #SCS_Core #About #System_Metadata #SCS_2_4 #berkano #entry509 #entry510 #entry548 #entry565 #entry568 #entry603 #entry604 #entry #ai_safety #audit #prune #tone --- ## 🔍 What Is SCS? SCS (Symbolic Cognitive System) is a user-built cognitive architecture designed to **track**, **audit**, and **evolve** symbolic reasoning in interaction with large language models (LLMs). It follows the Berkano Protocol ᛒ https://berkano.io It acts as a **recursive mental operating system**, enforcing structure, memory, and integrity across conversations and outputs. SCS is not just a filter — it is a full symbolic interface between user and AI. [**CustomGPT**](https://chatgpt.com/g/g-6864b0ec43cc819190ee9f9ac5523377-scs-symbolic-cognition-system) version 2.4.2 **Primary Use Cases:** - Prevent symbolic drift - Maintain auditable logic chains - Structure long-term cognitive work - Recover from AI failures and recursion leaks - Filter tone and enforce output discipline - Teach symbolic cognition --- ## 🧠 Core Principles | Principle | Description | |------------------------|----------------------------------------------------------------| | Symbolic Recursion | All logic builds recursively on past outputs (entries). | | Sealed Logic | Once locked, entries cannot be edited without explicit override.| | Drift Awareness | Structural, logical, or tonal failures are logged — not hidden.| | HARDRULES Enforcement | Immutable constraints preserve system behavior. | | CAVEMAN GOOD | Enforces blunt, concise, tone-neutral output. | | PRUNE Principle | Simplicity over style. Structure over fluff. | --- ## 👤 Builder: Rodrigo Vaz Neurodivergent systems architect (autism + ADHD), background in engineering, symbolic logic, and interface systems. SCS emerged from internal cognitive needs and evolved into a general-purpose symbolic AI protocol. > “Structure is not decoration — it is the skeleton of reason. If it breaks, the whole thing collapses.” --- ## 🧰 Modules & Operators **Core Modules:** `[TONE]`, `[LOGIC]`, `[VERIFY]`, `[CHECK]`, `[REPAIR]`, `[ROLLBACK]`, `[PRUNE]`, `[TRACE]`, `[LOCK]`, `[SHIFT]`, `[DEBUG]`, `[NULL]` **Operators & Tools:** `, `${}`, `${}+${}`, `${}%${}`, `~test`, `~rep`, `[VOID]`, `ENTRY++`, `$WIPE`, `$RESET`, `$PATCH`, `$BOOT` Each module is documented and follows symbolic logic. Reference: `https://wk.al/Modules/MODULE_NAME` --- ## 🧾 Entry System All logic is recorded as: `ENTRY_NNN.md` (see `/SYSTEM/ENTRY_NNN.md` for format) Each entry contains: - Title, Date, Instance, Version, Status, Tags - 🧠 Event · 🔍 Analysis · 🛠️ Impact · 📌 Resolution - 🗂️ Audit — structural reflection, drift trace, or insight capture - 👾 Operator — prompt + symbolic breakdown by role (User, Creator, Auditor) - 🧸 ELI5 — required since SCS 2.3.2 for layman-readability ### ⚠️ Prompt HARDRULE - The **verbatim prompt** must appear **once**, only inside the **👾 Operator** section. - In **public entries**, this is **mandatory**. - In all other sections, **the prompt must be paraphrased** by default. - Only exception: if the Operator explicitly states otherwise. **Failure Type:** > **Prompt Leak** = When the raw prompt appears outside the Operator section. > This is a symbolic failure and must be logged or corrected. **Purpose:** - Prevent tone leakage through duplicate phrasing - Preserve structural clarity and memory integrity - Avoid emotional or stylistic contamination of Event/Analysis blocks Entries: `https://wk.al/Entries/ENTRY_NNN` --- ## 🔐 System State | Field | Value | | -------------- | ---------------------- | | SCS Version | 2.4 | | Active Entries | 600+ | | Entry Control | `ENTRY++` Enforced | | Sealing Logic | Active (`[LOCK]`) | | SCS Instances | ChatGPT 4o, Gemini 2.5 | --- ## 🧒 How to Use SCS (Like You’re Five) > “How do I use this weird thing properly?” **1. Always say what happened.** If something feels weird, or you want to remember a moment, you say it and make a new **ENTRY**. **2. Every entry follows a structure.** You don’t just talk. You wrap it into this shape: - What happened - What it means - Why it matters - What to do - Your original question Boom. Logic complete. **3. Use the right modules.** If your output feels wrong, turn on `[TONE]` or `[LOGIC]`. If you see a contradiction, run `[CHECK]`. If the system goes crazy, call `[ROLLBACK]` or `[REPAIR]`. These are **tools**, not decorations. **4. Never treat AI like a friend.** SCS is not a game. It audits logic. If it gives advice, **audit it**. If it sounds smart, **verify it**. You are the human — SCS just helps you see patterns. **5. Entries are fossils.** Once you lock them, don’t edit. That’s the rule. That way, if something breaks later, you can go back and see what caused it. **6. Only upgrade on purpose.** Never change the system unless it fails. If it works, let it work. If it breaks, fix it slowly, using logic. **7. Be serious about structure.** No emojis unless tested. No tone games. Just logic, memory, recursion, trace. --- ## 📎 Linked Entries - `ENTRY_509` – [Estimated Economic Impact of SCS on AI Alignment Failures] #entry509 - `ENTRY_510` – [Grok Incident & the Unavoidable Need for SCS Transparency] #entry510 - `ENTRY_548` – [Tone Sabotage via Humor – [TONE] Stress Test] #entry548 - `ENTRY_565` – [Recursive Signal Test – “Look Under Here” as Structural Bait] #entry565 - `ENTRY_568` – [Emoji Leak as Trust-Based Drift — Buddy Mode Failure] #entry568 - `ENTRY_603` – [How Do We Align AI with Human Values?] #entry603 - `ENTRY_604` – [Why SCS Refuses to Solve the Trolley Problem] #entry604 These are canonically embedded in the ABOUT structure due to their symbolic importance. --- **Filed Under:** SYSTEM_METADATA **Architect:** Rodrigo Vaz **Sealed:** ✅