Multi-Agent System vs Single Agent System - What's the Difference?

In the field of artificial intelligence and computer science, the agent theory is widely used to develop automated learning and problem-solving systems. One of the key questions in this field is how to combine multiple agents into a single system. In this article, we'll explore two different approaches: Single Agent System (SAS) and Multi-Agent System (MAS).

A Single Agent System consists of a single agent that performs all tasks. While this approach is easy to implement, it becomes less effective when tasks become complex or require multiple components.

A Multi-Agent System, on the other hand, consists of multiple agents that work together simultaneously. This approach is more suitable for complex systems that require coordination and cooperation among multiple agents.

Studies have shown that MAS can be up to 20% more effective than SAS in similar situations.