8 citations · 9 across the 6 of their papers we have counts for
6 papers
Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
Theory of Mind (ToM) is central to social cognition and human-AI interaction, and Large Language Models (LLMs) have been used to help understand and represent ToM. However, most ev…
Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
Thuy Ngoc Nguyen, Jeffrey Flagg, Cleotilde Gonzalez
Understanding how humans attribute beliefs, goals, and intentions to others, known as theory of mind (ToM), is critical in the context of human-computer interaction. Despite variou…
Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although impl…
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning
Thuy Ngoc Nguyen, Kasturi Jamale, Cleotilde Gonzalez
Large Language Models (LLMs) have demonstrated their capabilities across various tasks, from language translation to complex reasoning. Understanding and predicting human behavior…
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
Developing effective Multi-Agent Systems (MAS) is critical for many applications requiring collaboration and coordination with humans. Despite the rapid advance of Multi-Agent Deep…
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents
Thuy Ngoc Nguyen, Chase McDonald, Cleotilde Gonzalez
Temporal credit assignment is crucial for learning and skill development in natural and artificial intelligence. While computational methods like the TD approach in reinforcement l…