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 Experiment Videos

Emotions: from brain to robot.

Michael A Arbib1, Jean-Marc Fellous

  • 1Computer Science, Neuroscience and USC Brain Project, University of Southern California, Los Angeles, CA 90089-2520, USA. arbib@pollux.usc.edu

Trends in Cognitive Sciences
|November 24, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The body in language, the language beyond the body: embrainment and graded embodiment in the evolution and use of language.

Frontiers in psychology·2026
Same author

Brain-inspired energy efficient technologies for next-generation artificial intelligence.

Biological cybernetics·2026
Same author

Artificial intelligence meets brain theory (again).

Biological cybernetics·2025
Same author

Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence.

Biological cybernetics·2024
Same author

The creativity of architects.

The Behavioral and brain sciences·2024
Same author

The effects of time horizon and guided choices on explore-exploit decisions in rodents.

Behavioral neuroscience·2023
Same journal

Misinformation as strategy: Epistemic consequences and the undermining of shared truth.

Trends in cognitive sciences·2026
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
See all related articles

This study explores the concept of robot emotions, differentiating between emotional expression and emotion as a behavioral mechanism. It proposes a substrate-independent functional definition for artificial emotions in robots.

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Neuroscience
  • Philosophy of Mind

Background:

  • Robots are increasingly equipped with emotional expressions to enhance human-computer interaction.
  • Neurobiological research provides insights into the brain structures and mechanisms underlying emotions in humans and animals.
  • Significant differences exist between biological emotion substrates and current computational architectures.

Purpose of the Study:

  • To analyze the implications of robots possessing genuine emotions.
  • To differentiate between emotional expression for communication and emotion as a driver of behavior.
  • To develop a functional definition of emotion applicable to both biological and artificial systems.

Main Methods:

Related Experiment Videos

  • Conceptual analysis of emotion in human-computer interaction.
  • Review of neurobiological research on emotion.
  • Abstraction of a functional definition of emotion independent of biological substrates.
  • Main Results:

    • Distinction established between emotional expression and emotion as a behavioral organizing mechanism.
    • Identified limitations of direct biological emulation for robot emotions due to differing substrates.
    • Developed a substrate-independent functional characterization of emotion.

    Conclusions:

    • A functional definition of emotion is proposed that is applicable to robots.
    • This framework allows for the possibility of robot emotions without reliance on biological mechanisms.
    • The study provides a basis for future research into artificial emotional systems.