AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability
Fuente:
arXiv
Saved in:
| Main Authors: | Bornstein, Marco, Bedi, Amrit Singh |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Auction-Based Regulation for Artificial Intelligence
by: Bornstein, Marco, et al.
Published: (2024)
by: Bornstein, Marco, et al.
Published: (2024)
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution
by: Bornstein, Marco, et al.
Published: (2023)
by: Bornstein, Marco, et al.
Published: (2023)
A New Incentive Model For Content Trust
by: Barbosa, Lucas, et al.
Published: (2025)
by: Barbosa, Lucas, et al.
Published: (2025)
Assessing Large Language Models' ability to predict how humans balance self-interest and the interest of others
by: Capraro, Valerio, et al.
Published: (2023)
by: Capraro, Valerio, et al.
Published: (2023)
An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy
by: Nayebi, Aran
Published: (2025)
by: Nayebi, Aran
Published: (2025)
Information Aggregation with AI Agents
by: Galanis, Spyros
Published: (2026)
by: Galanis, Spyros
Published: (2026)
Modeling the Feedback of AI Price Estimations on Actual Market Values
by: Silaghi, Viorel, et al.
Published: (2024)
by: Silaghi, Viorel, et al.
Published: (2024)
Algorithmic Advice as a Strategic Signal on Competitive Markets
by: Rebholz, Tobias R., et al.
Published: (2025)
by: Rebholz, Tobias R., et al.
Published: (2025)
Training Language Models for Bilateral Trade with Private Information
by: Bergemann, Dirk, et al.
Published: (2026)
by: Bergemann, Dirk, et al.
Published: (2026)
Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents
by: Chica, Cristian, et al.
Published: (2025)
by: Chica, Cristian, et al.
Published: (2025)
Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctions
by: Tolety, Sriram
Published: (2025)
by: Tolety, Sriram
Published: (2025)
Manipulation and Peer Mechanisms: A Survey
by: Olckers, Matthew, et al.
Published: (2022)
by: Olckers, Matthew, et al.
Published: (2022)
Algorithmic Collusion by Large Language Models
by: Fish, Sara, et al.
Published: (2024)
by: Fish, Sara, et al.
Published: (2024)
Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets
by: Chica, Cristian, et al.
Published: (2024)
by: Chica, Cristian, et al.
Published: (2024)
Algorithmic pricing with independent learners and relative experience replay
by: Han, Bingyan
Published: (2021)
by: Han, Bingyan
Published: (2021)
Policy Design in Long-Run Welfare Dynamics
by: Wu, Jiduan, et al.
Published: (2025)
by: Wu, Jiduan, et al.
Published: (2025)
Externalities in Knowledge Production: Evidence from a Randomized Field Experiment
by: Hinnosaar, Marit, et al.
Published: (2019)
by: Hinnosaar, Marit, et al.
Published: (2019)
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)
by: Phelps, Steve, et al.
Published: (2023)
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
by: Bornstein, Marco, et al.
Published: (2024)
by: Bornstein, Marco, et al.
Published: (2024)
Overcoming the Machine Penalty with Imperfectly Fair AI Agents
by: Wang, Zhen, et al.
Published: (2024)
by: Wang, Zhen, et al.
Published: (2024)
Market Power and Platform Design in Decentralized Electricity Trading
by: Eschenbaum, Nicolas, et al.
Published: (2026)
by: Eschenbaum, Nicolas, et al.
Published: (2026)
Maximizing NFT Incentives: References Make You Rich
by: Yu, Guangsheng, et al.
Published: (2024)
by: Yu, Guangsheng, et al.
Published: (2024)
Normative Equivalence in Human-AI Cooperation: Behaviour, Not Identity, Drives Cooperation in Mixed-Agent Groups
by: Mutzner, Nico, et al.
Published: (2026)
by: Mutzner, Nico, et al.
Published: (2026)
Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
by: Liu, Shuze Daniel, et al.
Published: (2026)
by: Liu, Shuze Daniel, et al.
Published: (2026)
Zero-determinant strategies in iterated multi-strategy games
by: Guo, Jin-Li
Published: (2014)
by: Guo, Jin-Li
Published: (2014)
Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities
by: Ikegami, Kei, et al.
Published: (2022)
by: Ikegami, Kei, et al.
Published: (2022)
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)
by: Kawahata, Yasuko
Published: (2024)
Strategic Interactions in Academic Dishonesty: A Game-Theoretic Analysis of the Exam Script Swapping Mechanism
by: Ganuthula, Venkat Ram Reddy, et al.
Published: (2025)
by: Ganuthula, Venkat Ram Reddy, et al.
Published: (2025)
Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament
by: Dagaev, Dmitry, et al.
Published: (2026)
by: Dagaev, Dmitry, et al.
Published: (2026)
Delegation and Verification Under AI
by: Huang, Lingxiao, et al.
Published: (2026)
by: Huang, Lingxiao, et al.
Published: (2026)
Will AI Trade? A Computational Inversion of the No-Trade Theorem
by: Li, Hanyu, et al.
Published: (2025)
by: Li, Hanyu, et al.
Published: (2025)
Explainable Graph Neural Networks via Structural Externalities
by: Wu, Lijun, et al.
Published: (2025)
by: Wu, Lijun, et al.
Published: (2025)
Modelling bounded rational decision-making through Wasserstein constraints
by: Evans, Benjamin Patrick, et al.
Published: (2025)
by: Evans, Benjamin Patrick, et al.
Published: (2025)
Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?
by: Kitadai, Ayato, et al.
Published: (2024)
by: Kitadai, Ayato, et al.
Published: (2024)
The Backfiring Effect of Weak AI Safety Regulation
by: Laufer, Benjamin, et al.
Published: (2025)
by: Laufer, Benjamin, et al.
Published: (2025)
Human behaviour through a LENS: How Linguistic content triggers Emotions and Norms and determines Strategy choices
by: Capraro, Valerio
Published: (2024)
by: Capraro, Valerio
Published: (2024)
Bilevel subsidy-enabled mobility hub network design with perturbed utility coalitional choice-based assignment
by: Yang, Hai, et al.
Published: (2025)
by: Yang, Hai, et al.
Published: (2025)
Tell Me Why: Incentivizing Explanations
by: Srinivasan, Siddarth, et al.
Published: (2025)
by: Srinivasan, Siddarth, et al.
Published: (2025)
A Generalized Model for Multidimensional Intransitivity
by: Duan, Jiuding, et al.
Published: (2024)
by: Duan, Jiuding, et al.
Published: (2024)
VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback
by: Zhang, Guoxi, et al.
Published: (2024)
by: Zhang, Guoxi, et al.
Published: (2024)
Similar Items
-
Auction-Based Regulation for Artificial Intelligence
by: Bornstein, Marco, et al.
Published: (2024) -
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution
by: Bornstein, Marco, et al.
Published: (2023) -
A New Incentive Model For Content Trust
by: Barbosa, Lucas, et al.
Published: (2025) -
Assessing Large Language Models' ability to predict how humans balance self-interest and the interest of others
by: Capraro, Valerio, et al.
Published: (2023) -
An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy
by: Nayebi, Aran
Published: (2025)