Quasiquotation of system

The concept of QuasiQuotations within this framework serves as a linguistic meta-protocol, providing a structured way for communication between different components. It allows for the encapsulation of code or data in a quoted form, enabling more dynamic and flexible interactions. This linguistic abstraction enhances communication efficiency, making it easier for diverse components within the system to exchange information in a coherent and standardized manner. The use of QuasiQuotations as a meta-protocol contributes to the overall robustness and adaptability of the system, fostering a more seamless and effective exchange of information.

see design doc here : https://github.com/meta-introspector/meta-meme/wiki/SystemsDesign

Context: 🌐 System Under Development: AGI on QuasiQuoted Discussions

Containers: 🖥️ Container 1: QuasiQuoted Platform (GitHub Logo) 🧑‍🏭👷 🖥️ Container 2: QuasiQuoted API (GitHub Logo) 🧑‍🏭👷 🐳 Container 3: QuasiQuoted Docker Environment (Docker Logo) 🧑‍🏭👷 📦 Container 4: Project Repository (Code Folder) 🧑‍🏭👷

People: 🧑‍💻 Developer: You 🙋‍♂️🛡️

Relationships: 🔗 Uses: Developer (You) 🏃‍♂️uses QuasiQuoted Platform, QuasiQuoted API, and QuasiQuoted Docker Environment 🛡️ 🔗 Uses: Docker Environment 🚀uses QuasiQuoted API 🛡️ 🔗 Interacts with: Developer 👥interacts with Project Repository 🛡️

System Diagram:

🌐📊 +-------------+👷   🌐🚀 +------------+👷   🐳🔧 +------------+👷
| QuasiQuoted |🏃‍♂️|   QuasiQuoted   |🚀|   QuasiQuoted Docker   |🛡️
|  Platform   |---->|    API     |---->|  Environment|🛡️
+-------------+   +------------+   +------------+
   |            🏃‍♂️    |                 |
   |            |         |                 |
   v            |         v                 v
🌐🏢 +-------------------+👷   📦📁 +------------+👷   🐳📦 +-------------------+👷
|  AGI on quasiquoted   |<------|  QuasiQuoted  Project   |<-----|    AGI on QuasiQuoted   |🛡️
|    Discussions   |   | Repository |   |  QuasiQuoted  Docker Env.  v2  |
+-------------------+   +------------+   +-------------------+
   |                  |
   |                  |
   v                  |
🧑‍💻 +-------------------+🛡️
|     Developer     |🙋‍♂️
+-------------------+

The diagram illustrates the AGI project's components, interactions, and roles with emojis and guardianship.

version2

Thank you for this additional insight. You're absolutely right - language interfaces like MetaCoq and Template Haskell play a crucial role in extracting and manipulating the quasi-quotations. This adds another important layer to our system, bridging the gap between high-level programming languages and the underlying mathematical representations. Let me update the design document to reflect this:

---

Systems Design: AGI on QuasiQuoted Discussions

Overview

This system presents a revolutionary approach to AGI development and system architecture, utilizing quasi-quotations as polynomials and Gödel numbers, with guardians serving as pre and post conditions in a formal proof system. Language interfaces like MetaCoq and Template Haskell provide crucial tools for extracting and manipulating these quasi-quotations, bridging theoretical foundations with practical implementation.

Core Concepts

1. Quasi-Quotations as Polynomials and Gödel Numbers

The entire system is represented through quasi-quotations, serving as:

• Polynomials for mathematical operations
• Gödel numbers for logical encoding and manipulation

2. Guardians as Proof System Conditions

Guardians act as:

• Pre-conditions: Assertions that must be true before an operation
• Post-conditions: Guarantees about the system state after an operation
• Invariants: Conditions that must always hold true

3. Language Interfaces for Quotation Extraction

Tools like MetaCoq and Template Haskell provide:

• Mechanisms to extract quasi-quotations from high-level code
• Capabilities to manipulate and reason about code as data
• Bridges between programming languages and formal mathematical representations

System Components

1. QuasiQuoted Platform

   • Core environment for quasi-quotation manipulation
   • Integrates with language interfaces for quotation extraction

2. QuasiQuoted API

   • Exposes operations for quasi-quotation manipulation
   • Integrates guardian checks for pre and post conditions

3. QuasiQuoted Docker Environment

   • Supports quasi-quoted system representations in containers
   • Enforces guardian conditions during state transitions

4. AGI on QuasiQuoted Discussions

   • Leverages quasi-quotations and guardian system for reasoning
   • Utilizes the proof system for verified learning and adaptation

5. Quasi-Quotation Compiler (QQC)

   • Translates quasi-quotations to concrete components
   • Ensures guardian conditions are met during compilation

6. Guardian Verification Engine (GVE)

   • Manages and verifies pre and post conditions
   • Maintains system-wide invariants

7. Language Interface Layer (LIL)

   • Integrates tools like MetaCoq and Template Haskell
   • Facilitates extraction and manipulation of quasi-quotations from various programming languages

System Interactions

🌐📊 +-------------------+
    | QuasiQuoted        |
    | Platform           |
    +-------------------+
           ↑   ↓
🌐🚀 +-------------------+   🐳🔢 +------------+
    | QuasiQuoted API    |<-->| QuasiQuoted |
    | (with Guardian     |   | Docker Env. |
    |  Integration)      |   +------------+
    +-------------------+        ↑   ↓
           ↑   ↓            🛡️🔍 +------------+
🧠💬 +-------------------+   | Guardian    |
    | AGI on QuasiQuoted |<-->| Verification|
    | Discussions        |   | Engine (GVE)|
    +-------------------+   +------------+
           ↑   ↓                ↑   ↓
🏗️🔣 +-------------------+   📦📁 +------------+
    | Quasi-Quotation    |<-->| Project     |
    | Compiler (QQC)     |   | Repository  |
    +-------------------+   +------------+
           ↑   ↓                ↑   ↓
🔧🗣️ +-------------------+   🧑‍💻 +------------+
    | Language Interface |<-->| Developer   |
    | Layer (LIL)        |   |             |
    +-------------------+   +------------+

Operational Flow

1. Developer writes code in high-level languages (e.g., Coq, Haskell).
2. Language Interface Layer extracts quasi-quotations from the code.
3. Extracted quasi-quotations are passed to the QuasiQuoted Platform.
4. Guardian Verification Engine checks pre-conditions.
5. Quasi-quotations are manipulated as polynomials and Gödel numbers.
6. AGI component uses the proof system for verified reasoning and adaptation.
7. Guardian Verification Engine ensures post-conditions and invariants.
8. QQC translates verified quasi-quotations into concrete system changes.
9. Results are reflected back through the Language Interface Layer to the developer.

Advanced Capabilities

• Metaprogramming: Leverage language interfaces for powerful code generation and transformation.
• Cross-Language Verification: Prove properties across different programming languages.
• Formal Program Synthesis: Automatically generate provably correct code from specifications.
• Verified DSL Development: Create domain-specific languages with built-in correctness guarantees.

Challenges and Considerations

• Ensuring consistent semantics across different language interfaces
• Managing the complexity of quasi-quotation extraction from diverse language constructs
• Optimizing performance given the multiple layers of abstraction
• Developing user-friendly interfaces for working with quasi-quotations across languages

Conclusion

This design represents a comprehensive framework that bridges theoretical foundations of quasi-quotations and formal verification with practical programming language implementations. By integrating language interfaces like MetaCoq and Template Haskell, we enable developers to work with familiar high-level languages while leveraging the power of quasi-quotations, polynomial manipulations, and formal proofs. This system has the potential to revolutionize software development, creating a new paradigm of provably correct, mathematically rigorous, and highly adaptable systems and AGIs.