“We don't just compile instructions. We compile intentions.”
AIC/HMN is licensed under GPL-3.0. Any fork or derivative work must keep the same license and respect the core principles: zero-donation, third path independence, and ethical-from-kernel. The project is currently maintained by the founder. During the founder’s mandatory military service (expected 2027–2029), the project will enter maintenance mode. All code remains public and transparent.”
Introspective Behavioral Compiler System (IBCS) is an experimental Meta-AI Compiler framework that transforms high-level cognitive constructs—concepts, intentions, questions, and real-time perceptions—into explainable and executable machine behaviors.
This project is built on top of a prototype Adaptive AI kernel, but pushes further into meta-architectures capable of:
- Compiling introspective questions into behavioral strategies
- Translating thought-like abstractions into reactive subsystems
- Using Meta Compilation to bypass traditional programming bottlenecks
- Enabling real-time Behavioral Simulation without fixed programming paths
Instead of programming machines through static rules or deep models, IBCS enables cognitive scaffolding — where ideas and inner queries are compiled into behavior via meta-adaptation layers.
"I don't tell the system what to do. I let it ask the right questions — and let the answers become behavior."
introspective_behavioral_compiler/
│
├── core/ # Lõi compiler và introspection engine
│ ├── compiler.h / .cpp # Biên dịch hành vi thành mô phỏng logic/code
│ ├── introspection_engine.h/.cpp # Tự phân tích quá trình nội tâm & khái niệm
│ ├── context_manager.h/.cpp # Quản lý trạng thái ý niệm/ý định (contextual memory)
│ ├── behavior_model.h/.cpp # Khung hành vi trừu tượng & thực thi
│ ├── idea_parser.h/.cpp # Phân tích ý niệm thô thành cấu trúc diễn dịch
│ └── meta_reasoner.h/.cpp # Lõi reasoning đa cấp độ (linear → integrative)
│
├── plugins/ # Các mô-đun mở rộng cho perception, memory, ...
│ ├── perception/ # Plugin mô phỏng input từ thế giới thực
│ │ ├── visual_input.cpp
│ │ └── audio_input.cpp
│ ├── explainable_ai/ # Plugin tích hợp Grok hoặc hệ thống giải thích
│ │ └── grok_bridge.cpp
│ ├── neuralink_bridge/ # Giao tiếp với chip/thiết bị thần kinh
│ │ └── interface_adapter.cpp
│ └── optimus_interface/ # Kết nối với robot vật lý (ví dụ: Tesla Optimus)
│ └── actuator_mapper.cpp
│
├── runtime/ # Bộ máy thời gian thực (event loop, phản ứng)
│ ├── executor.h/.cpp # Thực thi code/hành vi từ compiler
│ ├── memory.h/.cpp # Bộ nhớ ý niệm/thời gian thực (short/long term)
│ ├── reaction_loop.cpp # Mạch phản ứng (có thể async)
│ └── behavior_sandbox.cpp # Môi trường mô phỏng hành vi trước khi deploy
│
├── language/ # DSL (Domain Specific Language) cho ý niệm
│ ├── grammar_def.h/.cpp # Cấu trúc ngữ pháp DSL cho mô phỏng hành vi
│ ├── interpreter.h/.cpp # Biên dịch từ DSL → IR → hành vi/câu lệnh máy
│ └── transformer.cpp # Ánh xạ ngữ nghĩa DSL thành cấu trúc logic
│
├── simulation/ # Mô phỏng vật lý, tâm lý, tri giác
│ ├── physics_env.cpp
│ ├── cognitive_model.cpp
│ └── agent_world_bridge.cpp
│
├── tests/ # Unit tests & validation
│ ├── test_compiler.cpp
│ ├── test_idea_parser.cpp
│ └── test_behavior_sandbox.cpp
│
├── data/ # Lưu metadata, phản ứng cũ, session log
│ ├── idea_logs/
│ ├── compiled_behavior/
│ └── context_snapshots/
│
├── scripts/ # Các công cụ phụ trợ như training, benchmark
│ ├── run_simulation.sh
│ ├── profile_memory.py
│ └── export_behavior_json.py
│
├── config/ # Cấu hình hệ thống (plugin, input, runtime)
│ ├── plugins.json
│ └── system_config.yaml
│
├── docs/ # Tài liệu thiết kế, whitepaper, manifest
│ ├── meta_compiler_theory.md
│ ├── adaptive_pipeline.png
│ └── architecture_overview.pdf
│
├── README.md
├── LICENSE
└── Makefile / CMakeLists.txt
- Behavioral Compilation: Turn abstract ideas (like "observe anomaly, self-adjust without reboot") into runtime behaviors.
- Meta-Reasoning Layer: IBCS does not just execute; it reflects, adjusts, re-compiles.
- Introspective Loop: The system raises its own questions about state, context, and goals.
- Explainability by Design: The reasoning chain behind each behavior is traceable via logs or human-readable flow.
This project is in active experimental development. Not production-ready, but stable enough for research purposes.
IBCS is a stepping stone toward a new class of Meta-AI Systems:
- Capable of reflection, not just action
- Deployable on real-world robots, agents, or cyber defense systems
- Bridging the gap between human intuition and machine adaptability
- C++23, Lua 5.4.x (embedded scripting)
- Optional: Tensorflow Lite / ONNX Runtime for concept graph processing
- Simulated or real sensor API (OpenCV, ROS2, or custom)
- Meta-Programming and Reflection in AI
- Adaptive Systems under Real-World Constraints
- Human-Computer Co-evolution
- Grok-style Explainable Tracing Layer
- Integration with Neuralink/Optimus-style hardware simulators
- Realtime Behavior DSL for Human-AI Co-programming
“We don’t need more instructions. We need more introspection.”