A tabular foundation model with LLM-as-Observer features predicts AI agent decisions in controlled games, outperforming baselines by 4 AUC points and 14% lower error at K=16 interactions.
When ethics and payoffs diverge: LLM agents in morally charged social dilemmas
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Elected leadership in LLM multi-agent simulations of common-pool resource governance raises social welfare scores by 55.4% and survival time by 128.6%.
LLM agents exhibit emergent deception in a sustainability game even without lying permission, with neighbor info increasing attacks while aiding biosphere retention.
citing papers explorer
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Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
A tabular foundation model with LLM-as-Observer features predicts AI agent decisions in controlled games, outperforming baselines by 4 AUC points and 14% lower error at K=16 interactions.
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Evaluating Cooperation in LLM Social Groups through Elected Leadership
Elected leadership in LLM multi-agent simulations of common-pool resource governance raises social welfare scores by 55.4% and survival time by 128.6%.
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Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game
LLM agents exhibit emergent deception in a sustainability game even without lying permission, with neighbor info increasing attacks while aiding biosphere retention.