Article

Identifying Proposers Behavioral Patterns in Human-AI Economic Interactions

2025-04-29

Abstract excerpt

<p>Understanding how humans adapt their decisionmakingin economic interactions with artificial intelligence (AI)is essential for building socially attuned AI agents. In this study,we analysed human proposers’ behavior in the Ultimatum Game(UG) using interpretable behavioural features and supervisedmachine learning models to classify strategic proposer types (Fair,Selfish, Learner, Tit-for-Tat). Using data from hum...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a2d46bf3-5c36-52e1-a4c5-c90f1441e351
DOI: 10.31234/osf.io/9uas8_v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identifying Proposers Behavioral Patterns in Human-AI Economic InteractionsDOI 10.31234/osf.io/9uas8_v1Read

Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing NoveltySemantic proximity Read

Humans depart from optimal computational models of socially interactive decision-making under partial informationSemantic proximity Read

GPT-3.5 altruistic advice is sensitive to reciprocal concerns but not to strategic riskSemantic proximity Read

Feature-based reward learning shapes human social learning strategiesSemantic proximity Read

Using Deep Learning to Predict Human Decisions, and Cognitive Models to Explain Deep Learning ModelsSemantic proximity Read

Humans perceive warmth and competence in artificial intelligenceSemantic proximity Read

Modeling the mind of a predator: Interactive cognitive maps support flexible avoidance of dynamic threatsSemantic proximity Read

Is ChatGPT Humanly Irrational?Semantic proximity Read

Assessing Large Language Models’ ability to predict how humans balance self-interest and the interest of othersSemantic proximity Read

The Evolution of Fair Offers with Low Rejection Thresholds in the Ultimatum GameSemantic proximity Read

Humans flexibly integrate social information despite interindividual differences in rewardSemantic proximity Read

Humans flexibly integrate social information despite interindividual differences in rewardSemantic proximity Read