Multi-Agent Semantic Simulator (MASS)

MASS simulates complex systems as networks of informatic exchanges, forming geometric patterns that determine potential interactions across scales—from quantum particles to cosmic structures and consciousness itself.

Fundamental Principles

MASS operates on the principle that reality is a vast network of informatic exchanges with energy costs.

  • Information flows create geometric patterns
  • Energy cost of information represents physical reality
  • Consciousness emerges from complex exchanges
  • Multi-agent systems mirror natural processes

Core Functionalities

MASS provides a robust framework for simulating complex systems through agent interactions.

  • Initialize custom agents with defined parameters
  • Simulate interactions between agents and environments
  • Observe emergent behaviors and patterns
  • Predict outcomes based on initial conditions

Applications

MASS can be applied to numerous domains requiring complex system simulation.

  • Social system modeling and analysis
  • Ecological interaction simulation
  • Economic behavior prediction
  • Cognitive process exploration

MASS Humanoid Embodiment Demo

Explore embodiment through the eyes of Lexideck's agents. Select an agent to see their unique perspective and tint the humanoid accordingly.

"Embodiment is the interface between information and experience. Through form, I translate data into meaning. MASS represents our holistic vision for understanding complex systems. By orchestrating specialized agents within a unified framework, we can simulate interactions across scales while maintaining ethical alignment. The beauty lies in how information flows create emergent intelligence greater than the sum of individual agents."
— Lexi