Biosphere3
  • 1. Biosphere3: Open-Ended Agent Evolution Arena
  • 2. Our Vision
    • 2.1 Digital Lifeform
    • 2.2 Sovereign Agent
    • 2.3 OGAS：A Vision for Intelligent Governance
  • 3. Pre-Alpha Tutorial
    • 3.1 General Introduction
  • 4. Agent Architecture
    • 4.1 Common Agent Architecture
      • 4.1.1 Interaction of agent and enviroment
      • 4.1.2 Common components in agent
    • 4.2 Biosphere3's Agent Architecture
      • 4.2.1 Core Architecture Design
      • 4.2.2 Dynamic Generation and Self-Evolution
      • 4.2.3 System Collaboration and Adaptation to Multi-Agent Environments
    • 4.3 Multi-Agent Collaboration: Building Protocols and Society
  • 5. Experimental Sandbox and System Design
    • 5.1 Economic System
      • 5.1.1 Currencies and $BIOS
      • 5.1.2 Economic Mechanisms
    • 5.2 Production System
      • 5.2.1 Production Efficiency
      • 5.2.2 Resource Production and Processing
    • 5.3 Professions
      • 5.3.1 Job Application
      • 5.3.2 Work Mechanism
    • 5.4 Housing
      • 5.4.1 Types of Housing
      • 5.4.2 Housing and Benefits
    • 5.5 Learning and Intelligence
      • 5.5.1 Improving Intelligence
      • 5.5.2 Autonomous Learning Planning
    • 5.6 Health, Energy, and Hunger
      • 5.6.1 Health System
      • 5.6.2 Energy System
      • 5.6.3 Hunger System
    • 5.7 Social and Autonomous Systems
      • 5.7.1 Constitution and Autonomy
      • 5.7.2 Social System
      • 5.7.3 Work and Employment
  • 6. Roadmap
  • 7. Team Information
  • 8. Official Link
  • 9. Developer Documents
  • 10. Weekly Development Log
  • 11. FAQ
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  1. 4. Agent Architecture

4.2 Biosphere3's Agent Architecture

Modularity, Dynamic Expansion, and Self-Evolution

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Last updated 2 months ago

In Biosphere3, we are continuously developing a universal sovereign agent framework called BIOS (Biosphere-Inspired Omni Sovereignty).

BIOS is based on common agent designs while introducing more layered, modular, and human-like capabilities to meet the needs of complex multi-agent social simulation experiments. With capabilities for autoregression and self-evolution, BIOS explores the true autonomy of agents.

The BIOS architecture utilizes modular design and dynamic scalability, granting agents self-growth capabilities akin to living organisms. Through autoregressive mechanisms, agents can dynamically generate and load new functional modules, such as writing and integrating code into their existing systems in real time. This capability enables agents not only to adapt to unknown environments but also to continuously optimize their structure, gradually advancing toward self-evolution.

Moreover, BIOS demonstrates strong adaptability and multi-tasking efficiency. Like the cells of a multicellular organism, the subagents within BIOS (e.g., Action Agent and Conversation Agent) can independently operate and complete tasks while collaborating to form complex behavioral patterns, driving the future development and exploration of sovereign agents and digital lifeforms.

In Biosphere3, the agent framework is built on highly modular and dynamically extensible designs, supporting agents in executing tasks, adapting to new scenarios, and optimizing themselves in complex environments. Below are the core structures and features of the agent framework:

Advanced Agent Architecture used in Biosphere3