🧠 A Neuro-Symbolic Platform for True Understanding 🤖
Moving beyond pattern recognition to create systems with genuine understanding
BrainSimY is a research platform dedicated to a fundamental challenge in artificial intelligence: moving beyond pattern recognition to create systems with genuine understanding. This project extends the pioneering BrainSimIII, leveraging its powerful Universal Knowledge Store (UKS) to serve a revolutionary new purpose: providing a sophisticated "embodied experience" for Large Language Models (LLMs).
We're bridging the fluid, intuitive capabilities of neural networks with the rigorous, logical framework of a symbolic commonsense engine, creating a new form of hybrid intelligence.
- Graph-based knowledge representation with inheritance and exceptions (mimicking human cognition)
- Temporal knowledge with expiration and probabilistic reasoning with confidence scores
- Conditional logic and rule-based reasoning that handles nebulous/conflicting information
- Multi-sensory integration connecting sounds, words, and images
- C# (.NET 8.0) performance for knowledge operations with Python 3.8+ flexibility for LLM integration
- Seamless communication via Python.NET bridge
- Modular agent system for easy extension and experimentation
- Cross-platform support (Windows, macOS, Linux)
- Implements the Mediated Reasoning Loop architecture (LLM as intuitive proposer, UKS as logical verifier)
- Dual confidence scoring prevents hallucinations through hybrid validation
- Knowledge grounding through entity linking and disambiguation
- Dynamic learning through candidate belief systems
| Phase | Status | Focus Area | Key Capabilities |
|---|---|---|---|
| 🎯 Phase 1 | ✅ Completed | Foundational Bridge | Python-LLM integration, Context management, Knowledge processing |
| ⚡ Phase 2 | 🔄 In Progress | Enhanced Reasoning | Collaborative reasoning, Adaptive learning, Confidence validation |
| 🤖 Phase 3 | 📋 Planned | True Embodiment | Digital avatars, Goal-oriented behavior, Self-modification |
- Python-LLM Bridge with OpenAI/Anthropic integration
- Context Management System for UKS knowledge extraction
- Knowledge Processing Engine for LLM response integration
- Query-Response Cycles with UKS context grounding
- Collaborative Reasoning System - LLM-UKS cooperative problem solving
- Adaptive Learning Capabilities - Dynamic knowledge acquisition
- Confidence Scoring & Validation - Multi-layer truth verification
- Temporal Reasoning - Time-aware knowledge decay and evolution
- Digital Avatar Creation - Persistent AI personalities with memory
- Goal-Oriented Behavior - Autonomous objective setting and pursuit
- Multi-Modal Integration - Vision, audio, and sensory processing
- Self-Modification - Adaptive architecture and capability expansion
Join us in exploring the nature of consciousness, knowledge, and understanding
Build the future of AI with our comprehensive development platform
Shape the future of embodied artificial intelligence
- 🚀 Getting Started Guide - Set up your development environment
- 🏗️ Code Structure - Understand the architecture
- 🔧 Module System - Build custom agents and extensions
- 💻 Code: Contribute modules, optimize performance, extend UKS capabilities
- 🧠 Knowledge: Help encode common sense knowledge, validate candidate beliefs
- 💡 Ideas: Participate in Future AI Society discussions about the future of AI
The Universal Knowledge Store (UKS) is the cognitive foundation that makes BrainSimY unique. Unlike traditional databases or knowledge graphs, the UKS mimics human-like thinking patterns.
Things & Relationships: The UKS uses a graph of nodes called "Things" connected by "Relationships." For example: Fido is-a dog creates a single is-a relationship linking "Fido" and "dog" Things.
Inheritance with Exceptions: Just like human cognition, the UKS implements inheritance so attributes of "dog" automatically apply to "Fido" - but supports exceptions (a three-legged dog named Tripper overrides the "dogs have 4 legs" rule).
Conditional Logic: "Clauses" relate multiple Relationships to handle context-dependent facts like "Fido can play fetch IF the weather is sunny."
The UKS enables BrainSimY to achieve what other AI systems cannot:
- 🎨 Multi-sensory Integration - Connect sounds, words, and images in meaningful ways
- 🗺️ Real-time Mental Models - Maintain dynamic awareness of immediate surroundings
- 🤔 Handle Uncertainty - Process nebulous and conflicting information gracefully
- 📈 Action Learning - Store which actions lead to positive outcomes in specific situations
- ⚡ Real-time Updates - Handle live robotic and interactive applications
- 🔧 Modular Expansion - Incorporate specialized agent modules for any functionality
This project is an exploration into the nature of consciousness, knowledge, and understanding.
We are inspired by the Future AI Society's mission to create AI with common sense—the ability to set goals, build mental models, and understand physics like a child.
With the UKS, BrainSimY is leapfrogging other AI technologies which are unable to represent the information needed for the understanding that underpins Common Sense. We're not just building another AI system—we're creating a new paradigm for embodied artificial intelligence.
Join us in forging the future of embodied artificial intelligence.
Get Started → | Explore the Code → | Join the Community →
Licensed under MIT | Supported by Future AI Society | Building the Future of AI Understanding