Advanced · Systems

Multi-Agent Systems (MAS)

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Systems composed of multiple interacting intelligent agents that cooperate or compete to achieve individual or collective goals.

Technical Definition

Systems composed of multiple interacting intelligent agents that cooperate or compete to achieve individual or collective goals.

How it works

MAS are used to model and simulate complex environments where coordination and communication among independent entities are essential. Each agent has its own intelligence and decision-making capabilities, leading to emergent behaviors. Applications range from robotics swarms to economic simulations.

Related Concepts

• Reinforcement Learning — A paradigm where an agent learns to make decisions by receiving rewards or penalties from its environment through trial and error.
• Swarm Intelligence — An AI technique inspired by the collective behavior of decentralized, self-organized systems in nature, such as ant colonies.