mlsanityData to 7 Oct 2026

Survey of Consciousness Theory from Computational Perspective

arXiv 2309.10063 ↗First posted 18 Sep 2023q-bio.NC cs.AIcited by 3

Not on the map. Why?

Abstract (arXiv)

Human consciousness has been a long-lasting mystery for centuries, while machine intelligence and consciousness is an arduous pursuit. Researchers have developed diverse theories for interpreting the consciousness phenomenon in human brains from different perspectives and levels. This paper surveys several main branches of consciousness theories originating from different subjects including information theory, quantum physics, cognitive psychology, physiology and computer science, with the aim of bridging these theories from a computational perspective. It also discusses the existing evaluation metrics of consciousness and possibility for current computational models to be conscious. Breaking the mystery of consciousness can be an essential step in building general artificial intelligence with computing machines.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 27 of its 146 references that are in the map. First posted on arXiv 18 Sep 2023.

Builds on

27 of 146 references.

References · 27

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2022Training language models to follow instructions with human feedbackcited by 15,712
  4. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  5. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,317
  6. 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
  7. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  8. 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
  9. 2023PaLM 2 Technical Reportcited by 1,154
  10. 2022PaLI: A Jointly-Scaled Multilingual Language-Image Modelcited by 762
  11. 2022Large Language Models Can Self-Improvecited by 656
  12. 2023PaLI-X: On Scaling up a Multilingual Vision and Language Modelcited by 254
15 more
  1. 2022Evaluating and Inducing Personality in Pre-trained Language Modelscited by 122
  2. 2023Consciousness in Artificial Intelligence: Insights from the Science of Consciousnesscited by 99
  3. 2023Could a Large Language Model be Conscious?cited by 70
  4. 2023Can ChatGPT Assess Human Personalities? A General Evaluation Frameworkcited by 69
  5. 2015CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Researchcited by 52
  6. 2022Estimating the Personality of White-Box Language Modelscited by 47
  7. 2022Identifying and Manipulating the Personality Traits of Language Modelscited by 40
  8. 2022Large Language Models and the Reverse Turing Testcited by 38
  9. 2020Deep Learning and the Global Workspace Theorycited by 35
  10. 2021A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machinecited by 22
  11. 2020Self-explaining AI as an alternative to interpretable AIcited by 18
  12. 2016When the map is better than the territorycited by 17
  13. 2023Human or Not? A Gamified Approach to the Turing Testcited by 16
  14. 2023Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Modelscited by 6
  15. 2021What we are is more than what we docited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responsescited by 3
  2. 2025Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Riskscited by 3
  3. 2026Toward IIT-Inspired Consciousness in LLMs: A Reward-Based Learning Frameworkcited by 0