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dc.contributor.authorHeo, Chan
dc.contributor.authorAhn, Changbum R.
dc.contributor.authorPark, Moonseo
dc.date.accessioned2026-08-20T11:50:53Z
dc.date.available2026-08-20T11:50:53Z
dc.date.copyright2025/11/21
dc.date.issued2026
dc.identifier.otherJMENEA.MEENG-7144.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312754
dc.description.abstractAbstractThis study investigates whether agents powered by a large language model (LLM)-based service can exhibit algorithmic collusion in construction bidding environments. Using a simulated setting where ChatGPT (GPT-4o) agents repeatedly compete in ...
dc.publisherAmerican Society of Civil Engineers
dc.titleTacit Collusion by LLM Agents in Construction Bidding: Evidence from a Simulated Bidding Environment
dc.typeJournal Article
dc.journal.volume42
dc.journal.issue2
dc.journal.titleJournal of Management in Engineering
dc.identifier.doi10.1061/JMENEA.MEENG-7144
dc.journal.fristpage04025063-1
dc.journal.lastpage04025063-15
dc.page15
dc.treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002
dc.contenttypeFulltext


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