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War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. (arXiv:2311.17227v2 [cs.AI] UPDATED)
cs.CL updates on arXiv.org arxiv.org
Can we avoid wars at the crossroads of history? This question has been
pursued by individuals, scholars, policymakers, and organizations throughout
human history. In this research, we attempt to answer the question based on the
recent advances of Artificial Intelligence (AI) and Large Language Models
(LLMs). We propose \textbf{WarAgent}, an LLM-powered multi-agent AI system, to
simulate the participating countries, their decisions, and the consequences, in
historical international conflicts, including the World War I (WWI), the World
War II (WWII), and …
advances agent artificial artificial intelligence arxiv cs.ai history human intelligence language language model language models large language large language model large language models multi-agent organizations question research scholars simulation war world