Are you familiar with multi-agent systems?

Multi-agent systems are systems composed of multiple autonomous agents that interact with each other to solve a common task or achieve goals.

Each agent has its own logic, can make decisions, and respond to changes in the environment. Such systems are used in robotics, distributed computing, social process modeling, and others.

In Python, libraries such as mesa — a framework for agent-based modeling — can be used to implement multi-agent systems, or agents can be created using multithreading/multiprocessing and message exchange.

An example of a simple agent using a class:

class Agent:
    def __init__(self, name):
        self.name = name

    def act(self):
        print(f"Agent {self.name} performs an action")

agents = [Agent(f"A{i}") for i in range(3)]
for agent in agents:
    agent.act()