4 papers
Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
Stephen Pilli, Vivek Nallur
We examine whether large language models (LLMs) can predict biased decision-making in conversational settings, and whether their predictions capture not only human cognitive biases…
Emulating Aggregate Human Choice Behavior and Biases with GPT Conversational Agents
Stephen Pilli, Vivek Nallur
Cognitive biases often shape human decisions. While large language models (LLMs) have been shown to reproduce well-known biases, a more critical question is whether LLMs can predic…
Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle
Loïs Vanhée, Melania Borit, Peer-Olaf Siebers +8
The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Mod…
The Influence of Prior Discourse on Conversational Agent-Driven Decision-Making
Stephen Pilli, Vivek Nallur
Persuasion through conversation has been the focus of much research. Nudging is a popular strategy to influence decision-making in physical and digital settings. However, conversat…