Agent Architecture

The Technology Behind Simulora Agents

Core Components

Perception System

Advanced sensory processing that allows agents to understand their environment and detect changes in real-time.

Decision Engine

Neural network-based decision making that evaluates options and selects optimal actions based on current goals.

Memory System

Sophisticated memory architecture that stores experiences, learns from interactions, and builds knowledge over time.

Communication Module

Multi-modal communication system enabling agents to share information and coordinate with other agents.

Technical Specifications

GPT-4

Language Model

RL

Reinforcement Learning

CNN

Computer Vision

Agent Capabilities

Autonomous Behaviors

  • • Resource gathering and management
  • • Strategic planning and execution
  • • Social interaction and cooperation
  • • Learning from experience

Emergent Properties

  • • Complex problem-solving
  • • Cultural development
  • • Economic systems
  • • Collective intelligence