Cover Image

Probing for Consciousness in Machines

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Immertreu, Mathis, Schilling, Achim, Maier, Andreas, Krauss, Patrick
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language
by: Immertreu, Mathis, et al.
Published: (2026)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
by: Ramezani, Pegah, et al.
Published: (2026)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
by: Stoewer, Paul, et al.
Published: (2023)

Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2024)

Organizational Regularities in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2025)

Structural and dynamical strategies to prevent runaway excitation in reservoir computing
by: Metzner, Claus, et al.
Published: (2026)

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
by: Metzner, Claus, et al.
Published: (2024)

The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities
by: Kölbl, Nikola, et al.
Published: (2025)

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study
by: Metzner, Claus, et al.
Published: (2026)

Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
by: Williams, Ryan
Published: (2024)

The Principles of Human-like Conscious Machine
by: Li, Fangfang, et al.
Published: (2025)

Which Consciousness Can Be Artificialized? Local Percept-Perceiver Phenomenon for the Existence of Machine Consciousness
by: Singh, Shri Lal Raghudev Ram
Published: (2025)

Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness
by: Anwar, Nur Aizaan, et al.
Published: (2024)

A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
by: Hoel, Erik
Published: (2025)

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
by: Mathis, Mackenzie Weygandt
Published: (2024)

Consciousness qua Mortal Computation
by: Kleiner, Johannes
Published: (2024)

Artificial Consciousness as Interface Representation
by: Prentner, Robert
Published: (2025)

The Quantification Horizon Theory of Consciousness
by: Le, T. R.
Published: (2017)

Wanting to Be Understood Explains the Meta-Problem of Consciousness
by: Fernando, Chrisantha, et al.
Published: (2025)

Consciousness defined: requirements for biological and artificial general intelligence
by: McKenzie, Craig I.
Published: (2024)

Report on Candidate Computational Indicators for Conscious Valenced Experience
by: Campero, Andres
Published: (2024)

Why the Unfinished Keeps Returning: Canxianization and the Dynamics of Conscious Priority
by: Cai, Hengjin, et al.
Published: (2026)

Consciousness as Uncommon Self-Knowledge: A Synergistic Information Framework
by: Tallam, Krti
Published: (2026)

Mapping Neural Theories of Consciousness onto the Common Model of Cognition
by: Rosenbloom, Paul S., et al.
Published: (2025)

A Modular Theory of Subjective Consciousness for Natural and Artificial Minds
by: Gillon, Michaël
Published: (2025)

A Case for AI Consciousness: Language Agents and Global Workspace Theory
by: Goldstein, Simon, et al.
Published: (2024)

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
by: Yu, Haofei, et al.
Published: (2026)

A unified theory for the development of tinnitus and hyperacusis based on associative plasticity in the dorsal cochlear nucleus
by: Schulze, Holger, et al.
Published: (2024)

Probing Mechanical Reasoning in Large Vision Language Models
by: Sun, Haoran, et al.
Published: (2024)

Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)

Dissociating Artificial Intelligence from Artificial Consciousness
by: Findlay, Graham, et al.
Published: (2024)

Systems Explaining Systems: A Framework for Intelligence and Consciousness
by: Semmler, Sean Niklas
Published: (2026)

How Much is Brain Data Worth for Machine Learning?
by: Lewis, Lane, et al.
Published: (2026)

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
by: Mao, Rui, et al.
Published: (2025)

The Subject of Emergent Misalignment in Superintelligence: An Anthropological, Cognitive Neuropsychological, Machine-Learning, and Ontological Perspective
by: Imran, Muhammad Osama, et al.
Published: (2025)

Primate-like perceptual decision making emerges through deep recurrent reinforcement learning
by: Wispinski, Nathan J., et al.
Published: (2026)

Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
by: Raugel, Joséphine, et al.
Published: (2026)

Time-series attribution maps with regularized contrastive learning
by: Schneider, Steffen, et al.
Published: (2025)

Elucidation of the Concept of Consciousness from the Theory of Non-Human Communication Agents
by: Tagnin, Julian
Published: (2025)