multi-agent systems Insights

What is multi-agent systems?

Multi-agent systems (MAS) are computerized systems composed of multiple intelligent agents. These agents interact with each other to solve problems that are beyond the capabilities of a single agent. They are commonly used in robotics, distributed computing, and economics to model complex systems and enable autonomous decision-making.

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What other technologies are related to multi-agent systems?

multi-agent systems Complementary Technologies

reinforcement learning

Reinforcement learning is a powerful technique used to train agents in multi-agent systems to make optimal decisions through trial and error.

mentioned alongside multi-agent systems in 1% (96) of relevant job posts

LLMs

Large Language Models can be used to provide agents with natural language understanding, generation, and communication capabilities in multi-agent systems.

mentioned alongside multi-agent systems in 0% (114) of relevant job posts

deep learning

Deep learning can be used as a component of agents within a multi-agent system, allowing them to learn complex patterns and make intelligent decisions.

mentioned alongside multi-agent systems in 0% (83) of relevant job posts