Cover Image

Wanting to Be Understood Explains the Meta-Problem of Consciousness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernando, Chrisantha, Banarse, Dylan, Osindero, Simon
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wanting to be Understood
by: Fernando, Chrisantha, et al.
Published: (2025)

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

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

Probing for Consciousness in Machines
by: Immertreu, Mathis, et al.
Published: (2024)

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

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

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

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

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

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

The Principles of Human-like Conscious Machine
by: Li, Fangfang, 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)

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)

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)

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

Explaining Human Choice Probabilities with Simple Vector Representations
by: DiBerardino, Peter, et al.
Published: (2025)

From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
by: Do, Quan, et al.
Published: (2025)

Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness
by: Anwar, Nur Aizaan, 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)

Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
by: Zakirov, Bahti, et al.
Published: (2025)

Structure & Quality: Conceptual and Formal Foundations for the Mind-Body Problem
by: Williams, Ryan
Published: (2025)

Meta-learning ecological priors from large language models explains human learning and decision making
by: Jagadish, Akshay K., et al.
Published: (2025)

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
by: Kuo, Po-Chen, et al.
Published: (2025)

Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
by: Ahn, Caroline, et al.
Published: (2026)

Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)

From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP
by: Bexten, Justus Meyer zu, et al.
Published: (2026)

TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
by: Meszéna, Balázs, et al.
Published: (2026)

Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)

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

Why the Brain Cannot Be a Digital Computer: History-Dependence and the Computational Limits of Consciousness
by: Knight, Andrew
Published: (2025)

Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
by: Velazquez-Vargas, Carlos A., et al.
Published: (2024)

BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025)

Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
by: Radmard, Puria, 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)

Examining the effects of music on cognitive skills of children in early childhood with the Pythagorean fuzzy set approach
by: Kirisci, Murat, et al.
Published: (2025)

Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025)