Cover Image

Emergence of Self-Awareness in Artificial Systems: A Minimalist Three-Layer Approach to Artificial Consciousness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Iida, Kurando
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Artificial Intelligence 68T05 I.2.6; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Parameters of Educability
by: Valiant, Leslie G.
Published: (2024)

Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
by: Amornbunchornvej, Chainarong
Published: (2026)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior
by: Kim, Dongmin, et al.
Published: (2025)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)

Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
by: Basu, Abhinaba
Published: (2026)

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks
by: Revithis, Spyridon, et al.
Published: (2025)

Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
by: Tran, Viet Anh Khoa, et al.
Published: (2025)

Active Inference with a Self-Prior in the Mirror-Mark Task
by: Kim, Dongmin, et al.
Published: (2026)

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
by: Hooper, Gage K. R.
Published: (2025)

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
by: Malik, Raaghav, et al.
Published: (2025)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
by: Lomasto, Luigi, et al.
Published: (2026)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
by: Fidêncio, Aline Xavier, et al.
Published: (2025)

Dynamical Alignment: A Principle for Adaptive Neural Computation
by: Chen, Xia
Published: (2025)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
by: Dolgikh, Serge
Published: (2024)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
by: Zhang, Di
Published: (2026)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)

Alljoined1 -- A dataset for EEG-to-Image decoding
by: Xu, Jonathan, et al.
Published: (2024)

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex
by: Grosbard, Idan Daniel, et al.
Published: (2026)

You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
by: Biswas, Suraj, et al.
Published: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

The Physical Basis of Prediction: World Model Formation in Neural Organoids via an LLM-Generated Curriculum
by: Hill, Brennen
Published: (2025)

The Free Will Equation: Quantum Field Analogies for AGI
by: Kabali, Rahul
Published: (2025)

When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger
by: Ando, Rintaro
Published: (2025)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
by: Ged, François, et al.
Published: (2023)

Deep learning in a bilateral brain with hemispheric specialization
by: Rajagopalan, Chandramouli, et al.
Published: (2022)

An Active Inference Model of Covert and Overt Visual Attention
by: Mišić, Tin, et al.
Published: (2025)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
by: Guo, Dongxin, et al.
Published: (2026)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Untrained CNNs Match Backpropagation at V1: A Systematic RSA Comparison of Four Learning Rules Against Human fMRI
by: Leutenegger, Nils
Published: (2026)

ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
by: Kim, Sejin, et al.
Published: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)

Intervention Complexity as a Canonical Reward and a Measure of Intelligence
by: McCane, Brendan
Published: (2026)

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
by: Minai, Ali A.
Published: (2025)

Beyond Mimicry: Preference Coherence in LLMs
by: Mikaelson, Luhan, et al.
Published: (2025)

Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
by: Ramsey, Joseph D., et al.
Published: (2024)

Examining Reject Relations in Stimulus Equivalence Simulations
by: Carrillo, Alexis, et al.
Published: (2025)