mlsanityData to 7 Oct 2026

Using Large Language Models to Categorize Strategic Situations and Decipher Motivations Behind Human Behaviors

arXiv 2503.15752 ↗First posted 20 Mar 2025cs.AIcited by 5

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Abstract (arXiv)

By varying prompts to a large language model, we can elicit the full range of human behaviors in a variety of different scenarios in classic economic games. By analyzing which prompts elicit which behaviors, we can categorize and compare different strategic situations, which can also help provide insight into what different economic scenarios induce people to think about. We discuss how this provides a first step towards a non-standard method of inferring (deciphering) the motivations behind the human behaviors. We also show how this deciphering process can be used to categorize differences in the behavioral tendencies of different populations.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 6 of its 29 references that are in the map. First posted on arXiv 20 Mar 2025.

Builds on

6 of 29 references.

References · 6

  1. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  2. 2021On the Diversity and Limits of Human Explanationscited by 30
  3. 2024Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personascited by 23
  4. 2023A Study on the Calibration of In-context Learningcited by 21
  5. 2024Designing AI-Agents with Personalities: A Psychometric Approachcited by 14
  6. 2025LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agentscited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.

  1. 2026Do LLM-Driven Agents Exhibit Engagement Mechanisms? Controlled Tests of Information Load, Descriptive Norms, and Popularity Cuescited by 0
  2. 2026LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?")cited by 0
  3. 2026Measuring Behavior Portability in Large Language Modelscited by 0
  4. 2026BehaviorBench: Benchmarking Foundation Models for Behavioral Science Taskscited by 0
  5. 2026Modeling Human Behavior with Type Vectors Using AIcited by 0