Economics / Econ.TH

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LLM Collusion

본 논문은 알고리즘 기반 가격 결정 체계에서 대형 언어 모델(LLM)이 불법적인 담합을 유발할 수 있는 잠재적 위험에 대해 깊이 있게 분석하고 있습니다. 이 연구는 LLM의 공유된 지식 인프라와 데이터 집적 정책이 어떻게 시장 수준에서 조율되지 않은 협력을 가능하게 하는지, 그리고 이러한 메커니즘은 어떻게 실제 비즈니스 환경에서 위험성을 높이는지를 설명하고 있습니다. 기술적 혁신성 본 논문의 주요 기술적 혁신성은 LLM이 가격 책정에 활용될 때 발생할 수 있는 콜루션 위험을 이론적으로 분석하는 것입니다. 특히, 본 연구는 LLM이

January 03, 2026

Economics

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Super-Nash Performance

The paper introduces a new solution concept called 'optimin' in game theory, aiming to maximize the minimum payoff for players under unilateral profitable deviations by others. Optimin extends the conventional Nash equilibrium and is particularly important in cooperative games where players need to

October 23, 2025

Economics

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Open shop scheduling games

This paper explores a game theoretical approach to optimize the scheduling of operations in an open shop setting with unit execution times. The goal is to minimize the sum of completion times, making it particularly relevant for industries that require efficient task management and coordination amon

July 31, 2019

Economics Computer Science Game Theory

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Economics / Econ.TH

LLM Collusion

Super-Nash Performance

Open shop scheduling games

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LLM Collusion

Super-Nash Performance

Open shop scheduling games

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