Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.8K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.8K
Understanding Consciousness01:23

Understanding Consciousness

2.2K
Consciousness can be defined as the state of being aware of and able to think about one's existence, sensations, and surroundings. It encompasses two major components: awareness and arousal. Awareness pertains to the recognition of environmental stimuli and internal states. At the same time, arousal refers to the physiological readiness to engage with these stimuli, which varies significantly between states like sleep and wakefulness.
Sleep, a crucial state, is characterized by reduced...
2.2K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

274
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
274
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

798
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
798
Nonconscious Mimicry01:13

Nonconscious Mimicry

5.1K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.1K
Reason and Intuition01:37

Reason and Intuition

7.6K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A computational model of reward learning and habits on social media.

Nature communications·2026
Same author

Reference-point dependent reinforcement learning in humans and rats.

Nature communications·2026
Same author

Context induces distortions in value representations across multiple elicitation methods and learning modalities.

Nature communications·2026
Same author

Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Feedback-induced attitudinal changes in risk preferences.

Nature communications·2026
Same author

Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy.

Mind & society·2025

Related Experiment Video

Updated: Feb 19, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.5K

Beyond computational equivalence: the behavioral inference principle for machine consciousness.

Stefano Palminteri1,2, Charley M Wu3,4,5

  • 1Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL, Research University, 29 rue d'Ulm, 75005, Paris, France.

Neuroscience of Consciousness
|February 18, 2026
PubMed
Summary

This opinion piece critiques the computational equivalence principle for assessing machine consciousness in Large Language Models (LLMs). It proposes a behavioral inference principle for a more valid and operationalizable criterion for artificial consciousness.

Keywords:
artificial intelligencecomputational modelingconsciousnessmethodologyphilosophytheories and models

More Related Videos

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
09:43

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

11.1K
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.4K

Related Experiment Videos

Last Updated: Feb 19, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.5K
A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
09:43

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

11.1K
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.4K

Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Philosophy of Mind

Background:

  • Large Language Models (LLMs) exhibit advanced capabilities, sparking debate on artificial general intelligence and machine consciousness.
  • Current consensus on machine consciousness relies on computational functionalism and the principle of computational equivalence.
  • Emergent faculties in LLMs were unanticipated, intensifying discussions on attributing consciousness to artificial entities.

Purpose of the Study:

  • To critically evaluate the prevailing computational equivalence principle for assessing machine consciousness.
  • To advocate for an alternative "behavioral inference principle" for attributing consciousness to artificial entities.
  • To establish an epistemologically valid and operationalizable criterion for machine consciousness.

Main Methods:

  • Critical analysis of the computational equivalence principle.
  • Development and argumentation for the "behavioral inference principle".
  • Philosophical examination of consciousness attribution in AI.

Main Results:

  • The current computational equivalence principle is deemed insufficient for assessing machine consciousness.
  • The proposed "behavioral inference principle" offers a more practical approach.
  • Attributing consciousness should be based on its utility in explaining and predicting behavior.

Conclusions:

  • The "behavioral inference principle" provides a robust framework for evaluating machine consciousness.
  • This principle enhances our ability to operationalize and validate assessments of artificial consciousness.
  • Rethinking consciousness attribution is crucial given the rapid advancement of AI and LLMs.