Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles
Fuente:
arXiv
Saved in:
| Main Authors: | Chiappone, Francesco, Marocco, Davide, Milano, Nicola |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probing Mechanical Reasoning in Large Vision Language Models
by: Sun, Haoran, et al.
Published: (2024)
by: Sun, Haoran, et al.
Published: (2024)
Large Language Models Think Too Fast To Explore Effectively
by: Pan, Lan, et al.
Published: (2025)
by: Pan, Lan, et al.
Published: (2025)
Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024)
by: Sun, Haiyang, et al.
Published: (2024)
A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
by: Hoel, Erik
Published: (2025)
by: Hoel, Erik
Published: (2025)
DecNefSimulator: A Modular, Interpretable Framework for Decoded Neurofeedback Simulation Using Generative Models
by: Olza, Alexander, et al.
Published: (2025)
by: Olza, Alexander, et al.
Published: (2025)
Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
by: Hao, Guangfu, et al.
Published: (2025)
by: Hao, Guangfu, et al.
Published: (2025)
A Case for AI Consciousness: Language Agents and Global Workspace Theory
by: Goldstein, Simon, et al.
Published: (2024)
by: Goldstein, Simon, et al.
Published: (2024)
Do Language Models Align with Brains? Prediction Scores Are Not Enough
by: Jia, Xiao
Published: (2026)
by: Jia, Xiao
Published: (2026)
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024)
by: Luo, Dezhi, et al.
Published: (2024)
Brain-Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage
by: López-Cardona, Ángela, et al.
Published: (2025)
by: López-Cardona, Ángela, et al.
Published: (2025)
Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence
by: Bogdan, Alex, et al.
Published: (2026)
by: Bogdan, Alex, et al.
Published: (2026)
Possible Principles for Aligned Structure Learning Agents
by: Da Costa, Lancelot, et al.
Published: (2024)
by: Da Costa, Lancelot, et al.
Published: (2024)
MindSimulator: Exploring Brain Concept Localization via Synthetic FMRI
by: Bao, Guangyin, et al.
Published: (2025)
by: Bao, Guangyin, et al.
Published: (2025)
From Theory of Mind to Theory of Environment: Counterfactual Simulation of Latent Environmental Dynamics
by: Uchiyama, Ryutaro
Published: (2026)
by: Uchiyama, Ryutaro
Published: (2026)
Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)
by: Li, Jitang, et al.
Published: (2024)
Biological Neurons Compete with Deep Reinforcement Learning in Sample Efficiency in a Simulated Gameworld
by: Khajehnejad, Moein, et al.
Published: (2024)
by: Khajehnejad, Moein, et al.
Published: (2024)
Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)
by: Rahimi, Maryam, et al.
Published: (2025)
Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems
by: Su, Hong
Published: (2026)
by: Su, Hong
Published: (2026)
Metacognition is all you need? Using Introspection in Generative Agents to Improve Goal-directed Behavior
by: Toy, Jason, et al.
Published: (2024)
by: Toy, Jason, et al.
Published: (2024)
Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
by: Liu, Ryan, et al.
Published: (2026)
by: Liu, Ryan, et al.
Published: (2026)
Challenges in Grounding Language in the Real World
by: Lindes, Peter, et al.
Published: (2025)
by: Lindes, Peter, et al.
Published: (2025)
Large language models surpass human experts in predicting neuroscience results
by: Luo, Xiaoliang, et al.
Published: (2024)
by: Luo, Xiaoliang, et al.
Published: (2024)
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
by: Campbell, Declan, et al.
Published: (2024)
by: Campbell, Declan, et al.
Published: (2024)
Moral Agency in Silico: Exploring Free Will in Large Language Models
by: Porter, Morgan S.
Published: (2024)
by: Porter, Morgan S.
Published: (2024)
Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)
by: Ismayilzada, Mete, et al.
Published: (2026)
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
by: Mischler, Gavin, et al.
Published: (2024)
by: Mischler, Gavin, et al.
Published: (2024)
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
by: Kumar, Sreejan, et al.
Published: (2024)
by: Kumar, Sreejan, et al.
Published: (2024)
Modeling Autonomous Shifts Between Focus State and Mind-Wandering Using a Predictive-Coding-Inspired Variational RNN Model
by: Oyama, Henrique, et al.
Published: (2024)
by: Oyama, Henrique, et al.
Published: (2024)
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
by: Pinier, Christopher, et al.
Published: (2025)
by: Pinier, Christopher, et al.
Published: (2025)
A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
by: Harrison, Rachel M.
Published: (2024)
by: Harrison, Rachel M.
Published: (2024)
GENESIS: A Generative Model of Episodic-Semantic Interaction
by: D'Alessandro, Marco, et al.
Published: (2025)
by: D'Alessandro, Marco, et al.
Published: (2025)
Implementation of a Model of the Cortex Basal Ganglia Loop
by: Arakawa, Naoya
Published: (2024)
by: Arakawa, Naoya
Published: (2024)
A Proposal for Extending the Common Model of Cognition to Emotion
by: Rosenbloom, Paul S., et al.
Published: (2024)
by: Rosenbloom, Paul S., et al.
Published: (2024)
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories
by: Xie, Zhenshan, et al.
Published: (2025)
by: Xie, Zhenshan, et al.
Published: (2025)
"Just in Time" World Modeling Supports Human Planning and Reasoning
by: Chen, Tony, et al.
Published: (2026)
by: Chen, Tony, et al.
Published: (2026)
Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025)
by: Zhao, Stephen Chong, et al.
Published: (2025)
Mapping Neural Theories of Consciousness onto the Common Model of Cognition
by: Rosenbloom, Paul S., et al.
Published: (2025)
by: Rosenbloom, Paul S., et al.
Published: (2025)
Towards Unified Neural Decoding with Brain Functional Network Modeling
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)
by: Raugel, Joséphine, et al.
Published: (2025)
Similar Items
-
Probing Mechanical Reasoning in Large Vision Language Models
by: Sun, Haoran, et al.
Published: (2024) -
Large Language Models Think Too Fast To Explore Effectively
by: Pan, Lan, et al.
Published: (2025) -
Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024) -
A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
by: Hoel, Erik
Published: (2025) -
DecNefSimulator: A Modular, Interpretable Framework for Decoded Neurofeedback Simulation Using Generative Models
by: Olza, Alexander, et al.
Published: (2025)