Cover Image

Assessing Large Language Models' ability to predict how humans balance self-interest and the interest of others

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Capraro, Valerio, Di Paolo, Roberto, Pizziol, Veronica
Format:	Preprint
Published:	2023
Subjects:	General Economics Economics Artificial Intelligence Computers and Society Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language-based game theory in the age of artificial intelligence
by: Capraro, Valerio, et al.
Published: (2024)

Human behaviour through a LENS: How Linguistic content triggers Emotions and Norms and determines Strategy choices
by: Capraro, Valerio
Published: (2024)

A New Incentive Model For Content Trust
by: Barbosa, Lucas, et al.
Published: (2025)

A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers
by: Marugán, Alberto Pliego, et al.
Published: (2024)

Policy Design in Long-Run Welfare Dynamics
by: Wu, Jiduan, et al.
Published: (2025)

Externalities in Knowledge Production: Evidence from a Randomized Field Experiment
by: Hinnosaar, Marit, et al.
Published: (2019)

Zero-determinant strategies in iterated multi-strategy games
by: Guo, Jin-Li
Published: (2014)

Repetitive Dilemma Games in Distribution Information Using Interplay of Droop Quota: Meek's Method in Impact of Maximum Compensation and Minimum Cost Routes in Information Role of Marginal Contribution in Two-Sided Matching Markets
by: Kawahata, Yasuko
Published: (2024)

Algorithmic Collusion by Large Language Models
by: Fish, Sara, et al.
Published: (2024)

A General Framework for Optimizing and Learning Nash Equilibrium
by: Zhang, Di, et al.
Published: (2024)

Bilevel subsidy-enabled mobility hub network design with perturbed utility coalitional choice-based assignment
by: Yang, Hai, et al.
Published: (2025)

Auction-Based Regulation for Artificial Intelligence
by: Bornstein, Marco, et al.
Published: (2024)

AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability
by: Bornstein, Marco, et al.
Published: (2026)

Coevolution of cognition and cooperation in structured populations under reinforcement learning
by: Mastrandrea, Rossana, et al.
Published: (2023)

Economic DAO Governance: A Contestable Control Approach
by: Strnad, Jeff
Published: (2024)

Market Power and Platform Design in Decentralized Electricity Trading
by: Eschenbaum, Nicolas, et al.
Published: (2026)

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
by: Jung, Jihyeok, et al.
Published: (2024)

Algorithmic Collusion And The Minimum Price Markov Game
by: Sadoune, Igor, et al.
Published: (2024)

Multi Agent Influence Diagrams for DeFi Governance
by: Nag, Abhimanyu, et al.
Published: (2024)

Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities
by: Ikegami, Kei, et al.
Published: (2022)

Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?
by: Kitadai, Ayato, et al.
Published: (2024)

Algorithmic Predation: Equilibrium Analysis in Dynamic Oligopolies with Smooth Market Sharing
by: Pieroth, Fabian Raoul, et al.
Published: (2025)

Strategic Interactions in Academic Dishonesty: A Game-Theoretic Analysis of the Exam Script Swapping Mechanism
by: Ganuthula, Venkat Ram Reddy, et al.
Published: (2025)

The museum pass problem with consortia
by: Gonçalves-Dosantos, Juan Carlos, et al.
Published: (2024)

Describing Deferred Acceptance and Strategyproofness to Participants: Experimental Analysis
by: Gonczarowski, Yannai A., et al.
Published: (2024)

How Wasteful is Signaling?
by: Frankel, Alex, et al.
Published: (2026)

Towards Replication-Robust Analytics Markets
by: Falconer, Thomas, et al.
Published: (2023)

Restricting Entries to All-Pay Contests
by: Sun, Fupeng, et al.
Published: (2022)

Data-Driven Mechanism Design using Multi-Agent Revealed Preferences
by: Snow, Luke, et al.
Published: (2024)

Bidders' Responses to Auction Format Change in Internet Display Advertising Auctions
by: Goke, Shumpei, et al.
Published: (2021)

Cryptoeconomics and Tokenomics as Economics: A Survey with Opinions
by: Ito, Kensuke
Published: (2024)

Algorithmic Advice as a Strategic Signal on Competitive Markets
by: Rebholz, Tobias R., et al.
Published: (2025)

Modeling the Feedback of AI Price Estimations on Actual Market Values
by: Silaghi, Viorel, et al.
Published: (2024)

How damaging is zero-sum thinking to an agent's interests when the world is positive-sum?
by: Heap, Shaun Hargreaves, et al.
Published: (2026)

Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other?
by: Riedl, Christoph, et al.
Published: (2024)

The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?
by: Phelps, Steve, et al.
Published: (2023)

On Benchmark Hacking in ML Contests: Modeling, Insights and Design
by: Qiu, Xiaoyun, et al.
Published: (2026)

Advancing Ad Auction Realism: Practical Insights & Modeling Implications
by: Chen, Ming, et al.
Published: (2023)

Maximizing NFT Incentives: References Make You Rich
by: Yu, Guangsheng, et al.
Published: (2024)

Training Language Models for Bilateral Trade with Private Information
by: Bergemann, Dirk, et al.
Published: (2026)