What is Multi-Agent Systems?

Skill Level: Advanced

Multi-Agent Systems are AI systems where multiple autonomous agents interact and collaborate to accomplish a goal. These agents can be software programs, robots, or even humans. Multi-agent systems are used in diverse applications, including traffic management, supply chain optimization, and social networks.

Other Definitions

Reinforcement Learning

Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By…

Hyperparameters

Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…

Modular Neural Networks

Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for…

Human-in-the-Loop

Human-in-the-loop refers to a collaborative approach where humans and AI systems work together to achieve optimal results. It involves combining human expertise, judgement, and…