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Across 10 independent simulations, the system consistently regulated occupancy near the 60% crowding threshold, typically settling slightly above it. This collective pattern emerged not from explicit payoff optimization, but from local social interaction. Agents formed anticipatory clusters before overcrowding, produced context-sensitive communicative signals, and exhibited history-dependent divergence in their responses to congestion. In some runs, spontaneously generated hashtags temporarily inhibited departure, indicating that symbolic communication can stabilize short-term group cohesion. Together, these results suggest that coordination in an El Farol-inspired setting becomes socially mediated, temporally extended, and path-dependent once communication and embodiment are restored. More broadly, the study demonstrates how LLM-based agent societies can function as experimental systems for investigating emergent coordination and behavioral differentiation.<\/jats:p>","DOI":"10.1162\/artl.a.459","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T16:28:10Z","timestamp":1787588890000},"page":"208-225","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["Communication, Embodiment, and Coordination in an El Farol Bar-Inspired LLM Society"],"prefix":"10.1162","volume":"32","author":[{"given":"Ryosuke","family":"Takata","sequence":"first","affiliation":[{"name":"University of Tokyo Graduate School of Arts and Sciences takata@sacral.c.u-tokyo.ac.jp"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsushi","family":"Masumori","sequence":"additional","affiliation":[{"name":"University of Tokyo Graduate School of Arts and Sciences Alternative Machine Inc. masumori@sacral.c.u-tokyo.ac.jp"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takashi","family":"Ikegami","sequence":"additional","affiliation":[{"name":"University of Tokyo Graduate School of Arts and Sciences Alternative Machine Inc. ikeg@sacral.c.u-tokyo.ac.jp"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2026,5,1]]},"reference":[{"key":"2026082412031352800_bib1","unstructured":"Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. 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