Multi-Agent Systems: A Survey

By D. Yazdansepas, M. R. Nami. International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

656 citations recorded by the source corpus.

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Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory (2022, background): “The key principle of multiagent systems relies on the orchestration of multiple network agents and facilitating their interaction with each other and with the surrounding environment, with the aim to enable them to develop new knowledge pertaining to related contexts and actions, and hence, to effic”
The rise and potential of large language model based agents: a survey (2025, unknown): “While micro-level simulation, also known as agent-based simulation or MAS, indirectly simulates society by modeling individuals [446, 447].”
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022, background): “Inputs include the history of its actions, interactions with neighboring agents, and its goal [78].”
Multi-Agent Collaboration Mechanisms: A Survey of LLMs (2025, unknown): “Adapters are adaptive intelligent modules that allow the agent to incorporate additional knowledge from others through mechanisms such as speculative decoding and parameter-efficient adapter, which can further enrich the model’s response capabilities [40, 72, 98].”