Скачать или смотреть Understanding Multi Agent Systems (10 AI Agents for Business)

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The provided sources offer a comprehensive overview of Multi-Agent Systems (MAS), explaining how these complex AI collectives leverage intelligent agents to solve problems beyond individual capabilities. They detail the essential properties of agents, such as autonomy and social ability, and then compare MAS to single-agent systems, highlighting advantages like scalability and robustness. The text then extensively explores coordination mechanisms, including various planning strategies and communication protocols like FIPA ACL, which enable agents to interact effectively. Finally, the sources examine cooperation in MAS, emphasizing the importance of shared goals, incentivization through reward structures, and the role of trust, reciprocity, and norms in fostering collective behavior across different organizational structures, while also acknowledging the overarching challenges and future directions of MAS, including the impact of Large Language Models.
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