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    Tacit Collusion by LLM Agents in Construction Bidding: Evidence from a Simulated Bidding Environment

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002::page 04025063-1
    Author:
    Heo, Chan
    ,
    Ahn, Changbum R.
    ,
    Park, Moonseo
    DOI: 10.1061/JMENEA.MEENG-7144
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis 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 ...
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      Tacit Collusion by LLM Agents in Construction Bidding: Evidence from a Simulated Bidding Environment

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312754
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    contributor authorHeo, Chan
    contributor authorAhn, Changbum R.
    contributor authorPark, Moonseo
    date accessioned2026-08-20T11:50:53Z
    date available2026-08-20T11:50:53Z
    date copyright2025/11/21
    date issued2026
    identifier otherJMENEA.MEENG-7144.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312754
    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 ...
    publisherAmerican Society of Civil Engineers
    titleTacit Collusion by LLM Agents in Construction Bidding: Evidence from a Simulated Bidding Environment
    typeJournal Article
    journal volume42
    journal issue2
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-7144
    journal fristpage04025063-1
    journal lastpage04025063-15
    page15
    treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002
    contenttypeFulltext
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