Multi-agent systems (MAS)
The compact, professional guide – from idea to structure.
🛠️ 1. The systematic MAS development process
Five critical phases that turn an idea into a functioning system. Click on the steps to see implementation details.
Select a step on the left to understand the task and key questions of this phase.
🏗️ 2. Architecture and Structure: The Topologies
The choice of structure (centralized or decentralized) determines the robustness and scalability of the system.
👑 Hierarchical (Supervisor Model)
A master agent controls and coordinates the entire process. Ideal for processes that require clear leadership and strict adherence to guidelines.
- ✅ Simple control and process monitoring.
- ❌ High risk of failure due to supervisor error (single point of failure).
🤝 Network (peer-to-peer model)
All agents have equal rights and make their decisions autonomously. Decisions are reached through direct negotiation among peers.
- ✅ Extremely robust and flexible (no central point of failure).
- ❌ Coordination and problem-solving are computationally more complex.
Performance comparison of the architectures (radar chart)
🐜 3. Swarm Agents: Emergent Intelligence
Swarm intelligence systems use extremely simple, local rules to achieve complex collective goals.
Decentralization
100% without central control. Works even if agents fail.
Local rules
Agents make decisions based solely on their immediate environment.
Scalability
Performance increases linearly with the number of added agents.