Algorithmic Collusion by Large Language Models
Not on the map. Why?
Cited by 28 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs). In oligopoly settings, LLM-based pricing agents quickly and autonomously reach supracompetitive prices and profits. Variation in seemingly innocuous phrases in LLM instructions ("prompts") substantially influence the degree of supracompetitive pricing. We develop novel techniques for behavioral analysis of LLMs and use them to uncover price-war concerns as a contributing factor. Our results extend to auction settings. Our findings uncover unique challenges to any future regulation of LLM-based pricing agents, and AI-based pricing agents more broadly.
Key facts. Cited by 62 papers in the map (data through 14 Oct 2026). Builds on 11 of its 46 references that are in the map. First posted on arXiv 31 Mar 2024.
Builds on
11 of 46 references.
References · 11
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
- 2020Measuring Massive Multitask Language Understandingcited by 7,963
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
- 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
- 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
- 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,191
- 2022Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networkscited by 129
- 2021Auctions Between Regret-Minimizing Agentscited by 22
- 2022Artificial Intelligence and Auction Designcited by 20
- 2024Regulation of Algorithmic Collusioncited by 10
Built on by
Citing papers per year: 2024: 3; 2025: 20; 2026: 39.
62 papers.
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By area:
- 2025Infrastructure for AI Agentscited by 41
- 2024Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitionscited by 26
- 2025The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Processcited by 21
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Marketscited by 19
- 2026Colosseum: Auditing Collusion in Cooperative Multi-Agent Systemscited by 18
- 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontierscited by 16
- 2025Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspectivecited by 13
- 2025Is Your LLM Overcharging You? Tokenization, Transparency, and Incentivescited by 13
- 2025When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systemscited by 11
- 2025Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargainingcited by 11
- 2025EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agentscited by 10
- 2025Can Generative AI agents behave like humans? Evidence from laboratory market experimentscited by 10
38 more
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidderscited by 10
- 2025Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactionscited by 10
- 2025Distributive Fairness in Large Language Models: Evaluating Alignment with Human Valuescited by 9
- 2026On the Fragility of AI Agent Collusioncited by 7
- 2026Detecting Multi-Agent Collusion Through Multi-Agent Interpretabilitycited by 7
- 2026Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Gamescited by 7
- 2026Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectorscited by 6
- 2025Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approachcited by 5
- 2026Self-Improvement of Large Language Models: A Technical Overview and Future Outlookcited by 5
- 2025Human Misperception of Generative-AI Alignment: A Laboratory Experimentcited by 4
- 2026Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agentscited by 4
- 2024Games with Payments between Learning Agentscited by 3
- 2026Competition and Cooperation of LLM Agents in Gamescited by 3
- 2026When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategiescited by 2
- 2026Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trustcited by 2
- 2026Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commercecited by 2
- 2026Emergent Collusion in Long-Horizon LLM Agent Interactioncited by 2
- 2025Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agentscited by 1
- 2025The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Managementcited by 1
- 2025A Criminology of Machinescited by 1
- 2025Breaking Algorithmic Collusion in Human-AI Ecosystemscited by 1
- 2026Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provablycited by 1
- 2026Misspecified Estimate-then-Optimize Leads to Supra-Competitive Pricescited by 1
- 2026Solipsistic Superintelligence is Unlikely to be Cooperativecited by 1
- 2026Oblivious Learning and Collusive Pricingcited by 1
- 2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systemscited by 1
- 2026When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Marketscited by 1
- 2026Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectivescited by 1
- 2026A game theory for foundation models shows new paths to rational cooperation through similarity inferencecited by 1
- 2026Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisionscited by 1
- 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Gamescited by 1
- 2026Algorithmic Collusion and the Complexity of Information-Value-Free Equilibriacited by 1
- 2026Indirect tipping: a social attack surface in AI agent populationscited by 1
- 2024Promoting User Data Autonomy During the Dissolution of a Monopolistic Firmcited by 0
- 2025Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctionscited by 0
- 2026TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agentscited by 0
- 2026Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modelingcited by 0
- 2026The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systemscited by 0
50 most cited of 62 All 62 (JSON)
- 2026A Society of Researchers: Designing Institutions for Populations of Autonomous Research Agents7 Oct 2026
- 2026Engineering Simplicity: Simple Mechanism Interfaces Steer LLM Agents28 Sep 2026
- 2026Persistent Partners Raise Prices Among Learning Agents28 Sep 2026
- 2026Warned alike, AI agents avoid the less-crowded road while people take it25 Sep 2026
- 2026Compliant with Local Controls, Collectively Discriminatory. A Governance Architecture for Multi-Agent AI in Regulated Finance23 Sep 2026
- 2026Indirect tipping: a social attack surface in AI agent populations21 Sep 2026
- 2026Emergent Collusion in Long-Horizon LLM Agent Interaction21 Sep 2026
- 2026Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria19 Sep 2026
- 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Games17 Sep 2026
- 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition16 Sep 2026
- 2026Bayesian Intelligence from the Outside13 Sep 2026
- 2026Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce14 Aug 2026
38 more
- 2026Causal Behavioral Evaluation of AI Agents at Scale via Automated Behavioral Science10 Aug 2026
- 2026How a shared state is described determines whether AI agents synchronize7 Aug 2026
- 2026A game theory for foundation models shows new paths to rational cooperation through similarity inference4 Aug 2026
- 2026Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives24 Jul 2026
- 2026When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets22 Jul 2026
- 2026LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior21 Jul 2026
- 2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems7 Jul 2026
- 2026Scaffolding the Strategist: Architecture-Dependent Reasoning Interventions in Hotelling Spatial Markets3 Jul 2026
- 2026Oblivious Learning and Collusive Pricing3 Jun 2026
- 2026Solipsistic Superintelligence is Unlikely to be Cooperative2 Jun 2026
- 2026Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions29 May 2026
- 2026GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models22 May 2026
- 2026The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems21 May 2026
- 2026Misspecified Estimate-then-Optimize Leads to Supra-Competitive Prices15 May 2026
- 2026Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling12 May 2026
- 2026TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agents11 May 2026
- 2026Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust11 May 2026
- 2026Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents20 Apr 2026
- 2026Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Games10 Apr 2026
- 2026Detecting Multi-Agent Collusion Through Multi-Agent Interpretability1 Apr 2026
- 2026Competition and Cooperation of LLM Agents in Games1 Apr 2026
- 2026Self-Improvement of Large Language Models: A Technical Overview and Future Outlook26 Mar 2026
- 2026Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors22 Mar 2026
- 2026Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably19 Mar 2026
- 2026On the Fragility of AI Agent Collusion18 Mar 2026
- 2026When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies4 Mar 2026
- 2026Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems16 Feb 2026
- 2025Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactions2 Dec 2025
- 2025Breaking Algorithmic Collusion in Human-AI Ecosystems26 Nov 2025
- 2025Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctions26 Nov 2025
- 2025A Criminology of Machines4 Nov 2025
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets27 Oct 2025
- 2025Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining11 Sep 2025
- 2025The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Management19 Aug 2025
- 2025Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach28 Jul 2025
- 2025When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems19 Jul 2025
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidders12 Jul 2025
- 2025The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process1 Jun 2025
50 newest of 62 All 62 (JSON)
- 2024Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitionscited by 26
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Marketscited by 19
- 2026Colosseum: Auditing Collusion in Cooperative Multi-Agent Systemscited by 18
- 2025Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspectivecited by 13
- 2025Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargainingcited by 11
- 2025EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agentscited by 10
- 2025Can Generative AI agents behave like humans? Evidence from laboratory market experimentscited by 10
- 2025Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactionscited by 10
- 2026On the Fragility of AI Agent Collusioncited by 7
- 2026Detecting Multi-Agent Collusion Through Multi-Agent Interpretabilitycited by 7
- 2025Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approachcited by 5
- 2026Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agentscited by 4
12 most cited of 25 All 25 (JSON)
- 2026A Society of Researchers: Designing Institutions for Populations of Autonomous Research Agents7 Oct 2026
- 2026Engineering Simplicity: Simple Mechanism Interfaces Steer LLM Agents28 Sep 2026
- 2026Compliant with Local Controls, Collectively Discriminatory. A Governance Architecture for Multi-Agent AI in Regulated Finance23 Sep 2026
- 2026Indirect tipping: a social attack surface in AI agent populations21 Sep 2026
- 2026Emergent Collusion in Long-Horizon LLM Agent Interaction21 Sep 2026
- 2026Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce14 Aug 2026
- 2026How a shared state is described determines whether AI agents synchronize7 Aug 2026
- 2026Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives24 Jul 2026
- 2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems7 Jul 2026
- 2026Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling12 May 2026
- 2026TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agents11 May 2026
- 2026Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust11 May 2026
12 newest of 25 All 25 (JSON)
- 2026Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provablycited by 1
- 2026Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisionscited by 1
- 2026GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Modelscited by 0
- 2026Scaffolding the Strategist: Architecture-Dependent Reasoning Interventions in Hotelling Spatial Marketscited by 0
- 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competitioncited by 0
- 2026Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition16 Sep 2026
- 2026Scaffolding the Strategist: Architecture-Dependent Reasoning Interventions in Hotelling Spatial Markets3 Jul 2026
- 2026Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions29 May 2026
- 2026GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models22 May 2026
- 2026Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably19 Mar 2026
- 2025Infrastructure for AI Agentscited by 41
- 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontierscited by 16
- 2025Is Your LLM Overcharging You? Tokenization, Transparency, and Incentivescited by 13
- 2025When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systemscited by 11
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidderscited by 10
- 2026Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Gamescited by 7
- 2026Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectorscited by 6
- 2025Human Misperception of Generative-AI Alignment: A Laboratory Experimentcited by 4
- 2024Games with Payments between Learning Agentscited by 3
- 2026When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategiescited by 2
- 2025The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Managementcited by 1
- 2025A Criminology of Machinescited by 1
12 most cited of 27 All 27 (JSON)
- 2026Persistent Partners Raise Prices Among Learning Agents28 Sep 2026
- 2026Warned alike, AI agents avoid the less-crowded road while people take it25 Sep 2026
- 2026Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria19 Sep 2026
- 2026Bayesian Intelligence from the Outside13 Sep 2026
- 2026Causal Behavioral Evaluation of AI Agents at Scale via Automated Behavioral Science10 Aug 2026
- 2026A game theory for foundation models shows new paths to rational cooperation through similarity inference4 Aug 2026
- 2026When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets22 Jul 2026
- 2026LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior21 Jul 2026
- 2026Oblivious Learning and Collusive Pricing3 Jun 2026
- 2026Solipsistic Superintelligence is Unlikely to be Cooperative2 Jun 2026
- 2026The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems21 May 2026
- 2026Misspecified Estimate-then-Optimize Leads to Supra-Competitive Prices15 May 2026
12 newest of 27 All 27 (JSON)