46 citations · 46 across the 8 of their papers we have counts for
9 papers
To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation
John Chen, Sihan Cheng, Can Gurkan +1
Large language models (LLMs) are increasingly deployed as long-horizon agents with decision-making capacities. While LLMs can show ethical competence on dilemmas such as trolley pr…
CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V
John Chen, Sihan Cheng, Can Gurkan +1
Evaluating strategic decision-making in LLM-based agents requires generative, competitive, and longitudinal environments, yet few benchmarks provide all three, and fewer still offe…
Vox Deorum: A Hybrid LLM Architecture for 4X / Grand Strategy Game AI -- Lessons from Civilization V
John Chen, Sihan Cheng, Can Gurkan +2
Large Language Models' capacity to reason in natural language makes them uniquely promising for 4X and grand strategy games, enabling more natural human-AI gameplay interactions su…
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
John Chen, Alexandros Lotsos, Grace Wang +4
Open coding, a key inductive step in qualitative research, discovers and constructs concepts from human datasets. However, capturing extensive and nuanced aspects or "coding moment…
Prompts Matter: Comparing ML/GAI Approaches for Generating Inductive Qualitative Coding Results
John Chen, Alexandros Lotsos, Lexie Zhao +4
Inductive qualitative methods have been a mainstay of education research for decades, yet it takes much time and effort to conduct rigorously. Recent advances in artificial intelli…
A Computational Method for Measuring "Open Codes" in Qualitative Analysis
John Chen, Alexandros Lotsos, Sihan Cheng +7
Qualitative analysis is critical to understanding human datasets in many social science disciplines. A central method in this process is inductive coding, where researchers identif…
A Network Simulation of OTC Markets with Multiple Agents
James T. Wilkinson, Jacob Kelter, John Chen +1
We present a novel agent-based approach to simulating an over-the-counter (OTC) financial market in which trades are intermediated solely by market makers and agent visibility is c…
Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat
John Chen, Xi Lu, Michael Rejtig +4
Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in natural a…
ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming
John Chen, Uri Wilensky
Building on Papert (1980)'s idea of children talking to computers, we propose ChatLogo, a hybrid natural-programming language interface for agent-based modeling and programming. We…