mlsanityData to 7 Oct 2026

Designing an Automatic Agent for Repeated Language based Persuasion Games

arXiv 2105.04976 ↗First posted 11 May 2021cs.CLcited by 5

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Abstract (arXiv)

Persuasion games are fundamental in economics and AI research and serve as the basis for important applications. However, work on this setup assumes communication with stylized messages that do not consist of rich human language. In this paper we consider a repeated sender (expert) -- receiver (decision maker) game, where the sender is fully informed about the state of the world and aims to persuade the receiver to accept a deal by sending one of several possible natural language reviews. We design an automatic expert that plays this repeated game, aiming to achieve the maximal payoff. Our expert is implemented within the Monte Carlo Tree Search (MCTS) algorithm, with deep learning models that exploit behavioral and linguistic signals in order to predict the next action of the decision maker, and the future payoff of the expert given the state of the game and a candidate review. We demonstrate the superiority of our expert over strong baselines, its adaptability to different decision makers, and that its selected reviews are nicely adapted to the proposed deal.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 20 of its 65 references that are in the map. First posted on arXiv 11 May 2021.

Builds on

20 of 65 references.

References · 20

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  4. 2019Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Goodcited by 207
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  8. 2016Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussionscited by 106
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8 more
  1. 2019How to Build User Simulators to Train RL-based Dialog Systemscited by 44
  2. 2016Learning Language Games through Interactioncited by 43
  3. 2019End-to-End Trainable Non-Collaborative Dialog Systemcited by 19
  4. 2015Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Gamecited by 16
  5. 2021Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requestscited by 16
  6. 2020Predicting Decisions in Language Based Persuasion Gamescited by 6
  7. 2020Predicting Strategic Behavior from Free Textcited by 2
  8. 2016Multi-Issue Social Learningcited by 1

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Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 2.

5 papers.

  1. 2024GLEE: A Unified Framework and Benchmark for Language-based Economic Environmentscited by 19
  2. 2024Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Gamescited by 12
  3. 2023Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluationcited by 8
  4. 2022In the Eye of the Beholder: Robust Prediction with Causal User Modelingcited by 5
  5. 2022Persuasion Strategies in Advertisementscited by 2