uGAME

uGAME integrates vision AI, memory analysis, and a knowledge engine to create AI game agents that understand game mechanics at a detailed level. The system processes both visual and memory data to mak

Core Intelligence System

┌─────────────────────────────────────────────────────────────────┐
│                  NEURAL GAMING CORTEX                           │
└─────────────────────────────────────────────────────────────────┘
                            ▲                  ▲
                            │                  │
                            ▼                  ▼
┌───────────────────────┐      ┌───────────────────────────┐
│                       │      │                           │
│   VISION CORTEX       │◄────►│      MEMORY CORTEX        │
│                       │      │                           │
└─────────┬─────────────┘      └─────────────┬─────────────┘
          │                                  │
          ▼                                  ▼
┌───────────────────────┐      ┌───────────────────────────┐
│                       │      │                           │
│   SCREEN ANALYSIS     │      │     RAM INTROSPECTION     │
│   • Deep CV Models    │      │     • Memory Mapping      │
│   • Pixel Recognition │      │     • State Tracking      │
│   • Text Extraction   │      │     • Data Structure      │
│                       │      │       Analysis            │
└─────────┬─────────────┘      └─────────────┬─────────────┘
          │                                  │
          └────────────────┬─────────────────┘
                          ▼
┌─────────────────────────────────────────────────────────────────┐
│                    STRATEGIC DECISION ENGINE                    │
└───────────────────────────────┬─────────────────────────────────┘
                               ▼
┌─────────────────────────────────────────────────────────────────┐
│                     GAME CONTROL INTERFACE                      │
└─────────────────────────────────────────────────────────────────┘

Key Technical Components

1. Game Analysis System

The computer vision system processes game screens to understand context:

• Real-time scene analysis for game state recognition

• Response optimization for time-sensitive decisions

• Pattern recognition for game elements and situations

• Frame sequence analysis for temporal context understanding

• Brightness and contrast normalization for consistent recognition

2. Memory Introspection

Memory mapping enables direct access to game state data:

• Memory address mapping of relevant gameplay variables

• Concurrent monitoring of multiple memory regions

• State prediction based on game engine understanding

• Error handling for emulation inconsistencies

• High-frequency memory polling for state changes

3. Knowledge Engine

The knowledge system stores and processes game-specific information:

• Comprehensive game data organization

• Hybrid rule-based and ML approach to decision making

• Runtime knowledge acquisition and storage

• Optimized data structures for rapid information retrieval

• Relational data modeling for game concept connections

AI Decision Process Visualization

The system can expose its decision-making process for debugging:

┌───────────────────── AI DECISION PROCESS ─────────────────────────┐
│                                                                  │
│ PERCEPTION:                                                      │
│ • Visual: Game screen elements detected                          │
│ • Memory: Current game state variables                           │
│ • Context: Situation analysis                                    │
│                                                                  │
│ ANALYSIS:                                                        │
│ • Game elements and properties                                   │
│ • Available actions                                              │
│ • Strategic options                                              │
│ • Outcome probability assessment                                 │
│                                                                  │
│ STRATEGY:                                                        │
│ 1. Action prioritization                                         │
│ 2. Alternative approaches                                        │
│ 3. Goal alignment                                                │
│                                                                  │
│ ACTION: Selected game input                                      │
└──────────────────────────────────────────────────────────────────┘

Control System

The control interface converts decisions to precise game inputs:

• Timing calibration for consistent button press duration

• Multi-button sequence execution

• Command queuing for complex input sequences

• Input verification through state monitoring

Capabilities

uGAME agents can demonstrate:

• Retention of game map layouts, item locations, and dialogue options

• Strategy optimization based on game mechanics

• Efficient pathfinding and route planning

• Error recovery in navigation and interaction

• Performance improvement through reinforcement learning

Technical Architecture

Core Components

The system consists of five primary subsystems:

1. Game Memory Reader - Accesses game memory data structures

2. Visual Understanding System - Captures and analyzes game screens

3. Game Knowledge Database - Stores game rules and environment data

4. Strategic Decision Maker - Plans actions based on current state

5. Task Model System - Manages hierarchical goal execution

System Integration

┌───────────────────────────────────────────────────────────────┐
│                        User Interface                          │
│  ┌─────────────────┐                   ┌───────────────────┐  │
│  │  Game           │◄──────────────────┤  AI Assistant     │  │
│  │  Interface      │                   │  Interface        │  │
│  └────────┬────────┘                   └─────────┬─────────┘  │
└───────────┼────────────────────────────────────┼──────────────┘
            │                                    │
            ▼                                    ▼
┌───────────────────────┐             ┌───────────────────────────┐
│ Button Control        │◄───────────►│ Master Intelligence       │
│ System                │             │ Loop                      │
└───────────┬───────────┘             └───────────┬───────────────┘
            ▲                                     │
            │                                     ▼
            │                         ┌───────────────────────────┐
            │                         │ Task Model System         │
            │                         │ • Templates               │
            │                         │ • Subtasks                │
            │                         │ • Progress Tracking       │
            │                         └───────────┬───────────────┘
            │                                     │
            │                                     ▼
┌───────────────────────┐             ┌───────────────────────────┐
│ Navigation &          │◄────────────┤ Game Data Analyzer        │
│ World Interaction     │             └───────────┬───────────────┘
└───────────────────────┘                         │
                                                  ▼
                                      ┌───────────────────────────┐
                                      │ Vision & Memory Access    │
                                      └───────────┬───────────────┘
                                                  ▲
                                                  │
                                      ┌───────────────────────────┐
                                      │ Game Knowledge Base       │
                                      └───────────────────────────┘ 

Task Model Implementation

The Task Model System implements a structured approach to gameplay:

interface TaskContext {
  taskType: string;         // Type of task (NAVIGATE, BATTLE, etc.)
  targetName?: string;      // Specific target or location
  progress: TaskProgress;   // Completion tracking
  variables: Record<string, any>; // Task state
}

// Subtask definition
interface Subtask {
  id: string;
  type: SubtaskType;        // NAVIGATE, BATTLE, USE_MENU, etc.
  requiredScreenType: string[]; // When this subtask applies
  completionCriteria: (gameState, context) => boolean;
  action: (gameState, context) => AgentAction;
  priority: number;
  dependsOn?: string[];     // Prerequisites
}

Input Processing

The system supports natural language commands for agent control:

• Exploration: "Explore the area" or "Look for items"

• Strategic Actions: "Find and capture target" or "Complete objective X"

• Navigation: "Go to location Y" or "Find character Z"

• Direct Control: "Press button sequence" or "Execute combo"

• Task Control: "Stop current task" or "What are you doing now?"