From the 1 of 9 linked papers with an AI index.
9 papers
LLMs struggle to simulate human belief updates in controlled environments
Sebastian Pohl, Harsh Mehta, Pranav Mambayil +4
The paper tests whether large language models can replicate how humans update their beliefs after reading Reddit comments, comparing model outputs to data from 391 UK participants,…
Characterisation of reactive Nash equilibria in repeated additive games
Franziska Lesigang, Christian Hilbe, Nikoleta E. Glynatsi
In this paper, we study reactive strategies in repeated additive games between two players with finitely many actions. Reactive strategies condition only on the opponent's previous…
Evolution of noisy learning in games
Marta C. Couto, Fernando P. Santos, Christian Hilbe
People make strategic decisions many times a day - during negotiations, when coordinating actions with others, or when choosing partners for cooperation. The resulting dynamics can…
Strategies of cooperation and defection in five large language models
Saptarshi Pal, Abhishek Mallela, Christian Hilbe +5
Large language models (LLMs) are increasingly deployed to support human decision-making. This use of LLMs has concerning implications, especially when their prescriptions affect th…
Exact conditions for evolutionary stability in indirect reciprocity under noise
Nikoleta E. Glynatsi, Christian Hilbe, Yohsuke Murase
Indirect reciprocity is a key mechanism for large-scale cooperation. This mechanism captures the insight that in part, people help others to build and maintain a good reputation. T…
Cooperative Dilemmas in Rational Debate
Toby Handfield, Julián Garcia, Christian Hilbe +1
As an epistemic activity, rational debate and discussion requires cooperation, yet involves a tension between collective and individual interests. While all participants benefit fr…