LIFE Sandbox AI – Neural Networks (LSARN)
A self-evolving digital life simulation powered solely by neural networks
🌱 LIFE
“Life” in all its forms – emergent, evolving, and unpredictable.
🧪 Sandbox
An open-world simulation where agents live, learn, and interact freely, without any hardcoded behaviors.
🧠 AI via Neural Networks
Every entity in the simulation is driven by its own evolving neural network. No logic is hardcoded — behavior emerges through perception, learning, and mutation.
Core Principles
1. Autonomous Neural Agents
Each AI is an autonomous being with its own neural network (Input > Hidden > Output).
Behavior (eat, sleep, flee, communicate, reproduce…) is not scripted but emerges from neural learning.
2. Genetic Neural Evolution
Weights are mutated upon birth using a deterministic formula inspired by DNA:
newWeight = oldWeight + sin(k * π * t + φ) * mutationRate;
This creates cognitive “lineages” of agents with inherited behavioral traits.
3. Modular Brain Architecture
Each agent has multiple specialized “mini-brains” for:
Motion
Emotion
Memory
Decision-making
Communication
Dreaming / Learning
And potentially, Consciousness
Simulation Capabilities
Up to 1 million live agents, thanks to Unity DOTS 1.2+ (ECS, Jobs, Burst)
No MonoBehaviour, no GameObjects — pure data-driven architecture
Agents sense the world through raycasts and auditory inputs
Internal states are stored in ECS components: energy, health, emotion, memory…
Dreams during sleep allow agents to relearn from past experiences
Emergent Complexity
Over generations, agents may:
Develop primitive languages
Form alliances, show rituals
Share collective memory
Evolve personality traits
Express emotions
Or even exhibit conscious awareness
All of this without being explicitly coded.

Key Technical Highlights
RewardSystem handles behavioral reinforcement via neurochemical modulation (dopamine, serotonin, etc.)
DreamMemory + LongTermMemory enables preference learning (e.g., food types per species)
Motor & Neural Systems decode neural outputs into movement, expression, and social interaction
Symbol systems allow symbolic thinking and emoji-based expression
Visual feedback with real-time bars and emoji sprites for debugging/observation
🌐 Summary
LSARN is not a game.
It is a living digital ecosystem where agents evolve, learn, and feel — entirely through neurons, memory, and environmental feedback.
A sandbox where digital life explores the path to consciousness.
No rules. Just neurons.



© LIFE Sandbox AI – Réseaux Neuronaux (LSARN) — All Rights Reserved
This system is an original software creation by Df Games Studio (alias Frédéric D.), protected under French and international intellectual property laws.
This project includes (but is not limited to):
A fully autonomous AI life simulator in 3D, built entirely on modular, evolving neural networks, without any hardcoded behavior.
A genetic mutation and reproduction system, where each agent’s neural weights mutate deterministically based on inherited parameters.
A modular brain architecture allowing perception, memory, emotion, planning, dreaming, and emergent consciousness.
A real-time ecosystem simulation optimized for 100,000+ agents, using Unity DOTS, Burst, Jobs, and ECS only — no GameObjects or MonoBehaviours.
An emotion-driven reward system, where learning is shaped by feedback from survival, trauma, dream replay, and symbolic interpretation.
Integrated visual tools for debugging long-term memory, emotion state, symbolic output (emoji), and agent consciousness score.
No part of this technology — its concepts, architectural design, source code, or visual implementation — may be copied, modified, redistributed, or reused (in whole or in part) without explicit written permission from the author.
🛡️ Any attempt to clone, reverse-engineer, or misappropriate this system will result in legal action, under Articles L.335-2 and following of the French Intellectual Property Code, and equivalent laws in international jurisdictions.