Welcome to PENGSIM: Explore the world of penguin collective intelligence.
We extended the concept of penguin swarms into AI simulation.
PENGSIM is a penguin swarm cognition simulation based on multi-agent reinforcement learning.
Each penguin functions as an autonomous agent with its own state, decision-making rules, and interactions with the environment and neighboring agents.
50–500
Number of Agents
1s
Decision Cycle
2D / 3D
Environment Dimensions
Real-Time
Real-Time Visualization
Inspired by the recent popular meme token $PENGUIN, we extended the concept of penguin swarms into AI simulation.
PENGSIM is a penguin swarm cognition simulation based on multi-agent reinforcement learning.
Each penguin functions as an autonomous agent with its own state, decision-making rules, and interactions with the environment and neighboring agents.
The system demonstrates how simple individual behaviors can lead to complex emergent patterns at the group level, including collective decision-making, information propagation, and cooperative strategies.
By adjusting agent parameters and environmental conditions, PENGSIM provides a flexible platform for analyzing swarm dynamics, testing hypotheses about collective cognition, and visualizing how individual choices influence overall outcomes.
Whether for academic research, AI experimentation, or interactive exploration, PENGSIM delivers a real-time view of collective intelligence in social animal systems.