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Swarm Intelligence

Multi-Agent Simulator

Experiment with agent systems and visualize emergent behaviors

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Learning Through Experimentation

The best way to understand multi-agent systems is to build and test them. A simulator lets you configure agent behaviors, observe interactions, and discover emergent patterns— without writing production code or deploying real systems.

Why Simulation Matters

🔬

Rapid Iteration

Test dozens of configurations in minutes, not weeks

👁️

Visualize Patterns

See emergent behaviors that aren't obvious in code

🛡️

Safe Failure

Break things without consequences, learn from mistakes

Interactive: Basic Agent Simulator

Configure agent parameters and watch how they interact. Adjust settings to see different behaviors emerge.

3
2 agents8 agents
50%
50%
Interaction Pattern
Neutral
System Complexity
Low
Emergence Potential
Moderate

What You Can Explore

Agent Behaviors
Define how agents perceive, decide, and act in their environment
Coordination Strategies
Test communication patterns and collaborative decision-making
Emergent Patterns
Observe complex behaviors arising from simple interaction rules
Performance Metrics
Measure efficiency, goal achievement, and system robustness

💡 Key Insight

Simulation bridges theory and practice. Reading about agent coordination is one thing— watching 5 agents dynamically form coalitions, negotiate resources, and adapt to failures is another. Simulators make abstract concepts concrete and reveal behaviors you'd never predict from specifications alone.