Plug this into your LLM advanced AI Agent research AST
AI_Ecosystem
├── MultiAgent_Systems
│ ├── Autonomous_Agents
│ │ ├── WebSurfer
│ │ ├── Coder
│ │ ├── FileSurfer
│ │ ├── Mariner_Agent
│ ├── Orchestrator_Agent (Prefrontal Cortex Function)
│ ├── Task_Ledger
│ ├── Progress_Ledger (Execution Tracking)
│
├── Memory_Knowledge_Systems
│ ├── Memoripy (Hierarchical Memory)
│ │ ├── Short-Term_Memory (LTCNs - Liquid Time Constant Networks)
│ │ ├── Working_Memory (NAMMs - Non-Associative Memory Modules)
│ │ ├── Long-Term_Memory (DNCs - Differentiable Neural Computers)
│ ├── Hierarchical_Memory
│ │ ├── Dynamic_Memory_Prioritization
│ │ ├── Memory_Gating (Task-Sensitive Retrieval)
│ │ ├── Vector_Database_Integration
│
├── Learning_Optimization_Frameworks
│ ├── SDRO_Framework (Surprise-Driven Reflective Optimization)
│ │ ├── Local_Surprise (Agent-Level Adaptation)
│ │ ├── Global_Surprise (System-Wide Reconfiguration)
│ │ ├── Novelty_Surprise (Exploration & Skill Acquisition)
│ ├── Predictive_Coding (Free Energy Minimization)
│ ├── Free_Energy_Principle (Perception & Action Optimization)
│
├── Knowledge_Representation
│ ├── Polysynthetic_Language (Hyper-Efficient AI Communication)
│ ├── Glyph_Compression (SynthLang/Glyphstral Model 93% Token Reduction)
│ ├── AST_Encoding (Abstract Syntax Tree Knowledge Representation)
│ │ ├── Set_Theory (Logical Foundations)
│ │ ├── Category_Theory (Complex Mappings)
│ │ ├── Topology (Spatial & Conceptual Representation)
│
├── Hybrid_AI_Architecture
│ ├── Neural_Module (LLMs, Transformers)
│ ├── Symbolic_Engine (Rule-Based Reasoning)
│ ├── TPTrans (Transformer-Based Symbol-Embedding Bridge)
│ ├── Hybrid_AI (Associative Logic + Machine Learning)
│
├── Federated_Decentralized_Learning
│ ├── Crypto_Bounties (AI Skill Acquisition & Rewards)
│ ├── zk-SNARKs (Privacy-Preserving AI Training)
│ ├── Federated_Neuroplasticity (Cross-Agent Adaptation)
│
├── Hardware_Software_CoDesign
│ ├── CXL (Neural Connectivity - Compute Express Link)
│ ├── HBM3 (High-Speed Synaptic Memory)
│ ├── NAMMs (Adaptive Working Memory Modules)
│ ├── Real-Time Parallel Processing (LTCNs + GPU Acceleration)
│
├── Reinforcement_Learning
│ ├── SMiRL (Surprise-Minimizing Reinforcement Learning)
│ │ ├── Epistemic_Surprise (Model Uncertainty Detection)
│ │ ├── Aleatoric_Surprise (Stochasticity Estimation)
│ │ ├── Novelty_Surprise (Unfamiliar Pattern Recognition)
│
├── AI_Performance_Adaptability
│ ├── MultiAgent_Coordination (Self-Optimizing AI System)
│ ├── MetaLearning (Learning to Learn)
│ ├── Hierarchical_Task_Learning (Contextual Skill Acquisition)
│
│
├── HumanTask_DataCollection
│ ├── HumanTaskRecording (Real-Time AI Supervision)
│ │ ├── SpreadsheetManipulation (Excel)
│ │ ├── PowerPointCreation (Slides, Presentations)
│ │ ├── CanvaDesign (Graphic Creation)
│ │ ├── VideoEditing
│ ├── EEGRecording (Brain Activity Mapping During Tasks)
│ ├── GUI_TARS_Integration (Graphical User Interface Task Automation)
│
├── DataAssociation (Multimodal Learning)
│ ├── SensoryInputProcessing (Vision, Audio, Haptics)
│ ├── TextualDataIntegration (LLM-Based Context)
│ ├── CrossDomain_AssociationLearning (Linking Concepts Across Modalities)
│
├── ModelArchitecture
│ ├── EncoderDecoder (All-in-One Model for Multi-Modal Learning)
│ │ ├── MultiModalEncoder (Text, Image, Video, EEG, GUI Data)
│ │ └── MultiModalDecoder (Task-Specific Generative AI)
│
├── GUI-TARS_Integration
│ ├── ReinforcementLearningModule (Self-Improving UI Agents)
│ ├── GUIAutomationModule (Real-Time Interface Adaptation)
│
└── LearningFramework
├── CrossDomainAssociationLearning (Multi-Modal Knowledge Fusion)
├── Surprise-DrivenReflectiveOptimization (Meta-Cognitive Feedback Loops)
├── FederatedNeuroplasticity (Distributed AI Learning for Generalization)