March 13, 2024, 4:47 a.m. | Carlos Jose Xavier Cruz

cs.CL updates on

arXiv:2403.07769v1 Announce Type: cross
Abstract: This article explores the dynamic influence of computational entities based on multi-agent systems theory (SMA) combined with large language models (LLM), which are characterized by their ability to simulate complex human interactions, as a possibility to revolutionize human user interaction from the use of specialized artificial agents to support everything from operational organizational processes to strategic decision making based on applied knowledge and human orchestration. Previous investigations reveal that there are limitations, particularly in the …

abstract agent article arxiv collaboration competition computational dynamic human human interactions influence interactions language language models large language large language models llm modern multi-agent organizations possibility role systems theory type

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