LSARN (Life Sandbox Artificial Neural Runtime) is the neural substrate powering every agent in our simulated world. It isn’t a static AI module — it’s a living, evolving brain framework that enables autonomy, memory, emotion, and emergent behavior.
Key Components & Mechanisms
- Neural Architecture: Each agent’s brain is made of modular neural subunits tailored for perception, decision making, emotion, memory, and motor control.
- Memory & Dreaming: Agents consolidate experience internally during “rest” phases. Replay mechanisms adjust synapses, refine behaviors, and reinforce learning.
- Emotion & Reward Dynamics: A dopaminergic system modulates action evaluation. Emotional feedback influences decisions, memory strength, and evolutionary fitness.
- Genome-Driven Structure (ADNΣ): The agent’s genome encodes not only morphology but neural layout, parameter distributions, and mutation capabilities.
- Autonomous Emergence: No scripting of behaviors. Agents act based on neural signals, past experience, and sensory input.
- Lifecycle & Lineage: Agents can reproduce, inherit mutated genomes, pass partial memory, and evolve across generations.
- Visualization & Monitoring Tools:
• Brain Viewer to inspect neural maps and activation traces
• Agent genealogy and life journals
• Ecosystem dashboards to monitor population dynamics
Why LSARN Matters
LSARN bridges neural modeling, evolutionary systems, and emergent intelligence. It lets us ask:
- When does computation turn into life?
- How do memory, emotion, and reward shape behavior in an evolving ecosystem?
- Can meaningful interactions evolve without external scripting?
LSARN is not a game engine. It is a neural experiment in life, embodied in code and data.