Cover Image

Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Thuy Ngoc, Jamale, Kasturi, Gonzalez, Cleotilde
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
by: Nguyen, Thuy Ngoc, et al.
Published: (2026)

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
by: Nguyen, Thuy Ngoc, et al.
Published: (2025)

Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
by: Nguyen, Thuy Ngoc, et al.
Published: (2025)

Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
by: Malloy, Tailia, et al.
Published: (2023)

Controllable Complementarity: Subjective Preferences in Human-AI Collaboration
by: McDonald, Chase, et al.
Published: (2025)

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models
by: Dong, Nguyen Tien, et al.
Published: (2025)

Autonomous Droplet Microfluidic Design Framework with Large Language Models
by: Nguyen, Dinh-Nguyen, et al.
Published: (2024)

ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
by: Van Huynh, Tin, et al.
Published: (2026)

CoGrid & the Multi-User Gymnasium: A Framework for Multi-Agent Experimentation
by: McDonald, Chase, et al.
Published: (2026)

Large Language Newsvendor: Decision Biases and Cognitive Mechanisms
by: Liu, Jifei, et al.
Published: (2025)

Probing the Decision Boundaries of In-context Learning in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)

Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
by: Pilli, Stephen, et al.
Published: (2026)

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior
by: Li, Hao, et al.
Published: (2025)

Decision-Focused Learning to Predict Action Costs for Planning
by: Mandi, Jayanta, et al.
Published: (2024)

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Understanding Human Actions through the Lens of Executable Models
by: Rubavicius, Rimvydas, et al.
Published: (2026)

Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights
by: Liu, Yuchen, et al.
Published: (2025)

Learning To Guide Human Decision Makers With Vision-Language Models
by: Banerjee, Debodeep, et al.
Published: (2024)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
by: Nguyen, Ngoc-Quang
Published: (2025)

Concept Generalization in Humans and Large Language Models: Insights from the Number Game
by: Bazigaran, Arghavan, et al.
Published: (2025)

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
by: Motiyani, Isha, et al.
Published: (2026)

Development of Ontological Knowledge Bases by Leveraging Large Language Models
by: Luyen, Le Ngoc, et al.
Published: (2026)

DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model Agents
by: Nguyen, Dinh-Nguyen, et al.
Published: (2024)

Can Large Language Models Predict the Outcome of Judicial Decisions?
by: Kmainasi, Mohamed Bayan, et al.
Published: (2025)

Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
by: Thi, Thuy Nguyen, et al.
Published: (2024)

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
by: Zhang, Nan, et al.
Published: (2025)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
by: Hwang, Yeonjun, et al.
Published: (2026)

Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making
by: Wu, Siyu, et al.
Published: (2024)

SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models
by: Jiang, Peiyao, et al.
Published: (2026)

An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
by: Nguyen, Thu-Trang, et al.
Published: (2024)

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
by: Zhang, Wei, et al.
Published: (2026)

Advancements in Natural Language Processing: Exploring Transformer-Based Architectures for Text Understanding
by: Wu, Tianhao, et al.
Published: (2025)

Understanding Mode Switching in Human-AI Collaboration: Behavioral Insights and Predictive Modeling
by: Nargund, Avinash Ajit, et al.
Published: (2025)

Foot In The Door: Understanding Large Language Model Jailbreaking via Cognitive Psychology
by: Wang, Zhenhua, et al.
Published: (2024)

Conformal Predictions for Human Action Recognition with Vision-Language Models
by: Tim, Bary, et al.
Published: (2025)

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models
by: Nguyen, Le Thien Phuc, et al.
Published: (2025)

Cognitive-Aligned Spatio-Temporal Large Language Models For Next Point-of-Interest Prediction
by: Zhai, Penglong, et al.
Published: (2025)

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models
by: Shi, Ling, et al.
Published: (2026)

CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models
by: Shin, Minjung, et al.
Published: (2024)

Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
by: Du, Y., et al.
Published: (2025)