Image de couverture de livre

Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bogdan, Alex, de Valois-Franklin, Adrian
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Computation and Language Neurons and Cognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
par: Pichat, Michael
Publié: (2024)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
par: Ramezani, Pegah, et autres
Publié: (2026)

Dissociating Artificial Intelligence from Artificial Consciousness
par: Findlay, Graham, et autres
Publié: (2024)

A neural network for modeling human concept formation, understanding and communication
par: Guo, Liangxuan, et autres
Publié: (2026)

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
par: Guo, Yi, et autres
Publié: (2025)

A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
par: Harrison, Rachel M.
Publié: (2024)

Hán Dān Xué Bù (Mimicry) or Qīng Chū Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models
par: Hu, Yueqing, et autres
Publié: (2026)

Brain-inspired and Self-based Artificial Intelligence
par: Zeng, Yi, et autres
Publié: (2024)

Building Artificial Intelligence with Creative Agency and Self-hood
par: Gabora, Liane, et autres
Publié: (2024)

"Dark Triad" Model Organisms of Misalignment: Narrow Fine-Tuning Mirrors Human Antisocial Behavior
par: Lulla, Roshni, et autres
Publié: (2026)

Left-right asymmetry in predicting brain activity from LLMs' representations emerges with their formal linguistic competence
par: Bonnasse-Gahot, Laurent, et autres
Publié: (2026)

Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models
par: Hu, Yueqing, et autres
Publié: (2026)

One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
par: Tang, Changli, et autres
Publié: (2026)

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
par: Liu, Ryan, et autres
Publié: (2026)

Large Language Models Align with the Human Brain during Creative Thinking
par: Ismayilzada, Mete, et autres
Publié: (2026)

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
par: Ji-An, Li, et autres
Publié: (2025)

The age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
par: Skipper, Jeremy I, et autres
Publié: (2024)

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
par: Pinier, Christopher, et autres
Publié: (2025)

On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception
par: Norouzi, Sanaz Saki, et autres
Publié: (2025)

Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind
par: Oved, Iris, et autres
Publié: (2024)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
par: Alexos, Antonios, et autres
Publié: (2024)

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
par: Li, Yuannan, et autres
Publié: (2024)

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
par: Taniguchi, Tadahiro
Publié: (2025)

Self-Attention Limits Working Memory Capacity of Transformer-Based Models
par: Gong, Dongyu, et autres
Publié: (2024)

Matching domain experts by training from scratch on domain knowledge
par: Luo, Xiaoliang, et autres
Publié: (2024)

Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation
par: Liu, Xin, et autres
Publié: (2025)

Memory, Consciousness and Large Language Model
par: Li, Jitang, et autres
Publié: (2024)

Emergence of psychopathological computations in large language models
par: Lee, Soo Yong, et autres
Publié: (2025)

Explanations of Large Language Models Explain Language Representations in the Brain
par: Rahimi, Maryam, et autres
Publié: (2025)

Hebbian learning the local structure of language
par: Eugenio, P. Myles
Publié: (2025)

Working Memory Capacity of ChatGPT: An Empirical Study
par: Gong, Dongyu, et autres
Publié: (2023)

Intra-neuronal attention within language models Relationships between activation and semantics
par: Pichat, Michael, et autres
Publié: (2025)

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
par: Mischler, Gavin, et autres
Publié: (2024)

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length
par: Wang, Chupei, et autres
Publié: (2025)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
par: Kumar, Sreejan, et autres
Publié: (2024)

Lost in Translation: The Algorithmic Gap Between LMs and the Brain
par: Tosato, Tommaso, et autres
Publié: (2024)

fMRI predictors based on language models of increasing complexity recover brain left lateralization
par: Bonnasse-Gahot, Laurent, et autres
Publié: (2024)

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
par: Zador, Anthony, et autres
Publié: (2026)

Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
par: Xie, Yong
Publié: (2024)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
par: Arslan, Suayb S.
Publié: (2024)