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

Robots can be (good) models.

Barbara Webb1

  • 1Department of Psychology, Centre for Computational and Cognitive Neuroscience, University of Stirling, Stirling FK9 4LA, Scotland, United Kingdom b.b.webb@stir.ac.uk www.stir.ac.uk/psychology/Staff/bhw1/

The Behavioral and Brain Sciences
|February 5, 2008
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

Bee-inspired navigation robot pinpoints its home using a neural network.

Nature·2026
Same author

A framework for constructing insect steering circuits.

PLoS computational biology·2026
Same author

The neurobiology of bee dance communication.

Current opinion in neurobiology·2026
Same author

Honeybees express foodward flight vectors after a detour.

The Journal of experimental biology·2025
Same author

How the insect brain keeps track of space.

Trends in cognitive sciences·2025
Same author

Spatiotemporal computations in the insect celestial compass.

Nature communications·2025
Same journal

Are language models models?

The Behavioral and brain sciences·2026
Same journal

Large language models illuminate the mechanistic underpinnings of the creative aspect of language use (CALU), long regarded as a mystery.

The Behavioral and brain sciences·2026
Same journal

LLMs as a platform for studying constraint interaction: Motivation and challenges.

The Behavioral and brain sciences·2026
Same journal

Beyond the data gap: Children create languages, violate their input statistics, and exhibit critical periods.

The Behavioral and brain sciences·2026
Same journal

Not-so-strange love: Language models and generative linguistic theories are more compatible than they appear.

The Behavioral and brain sciences·2026
Same journal

Rich data drive generalization: Lessons from machine learning for linguistics and cognitive science.

The Behavioral and brain sciences·2026
See all related articles

Commentaries support biorobots as biological models, but acknowledge limitations. The usefulness of these models depends on the specific biological questions and the investigator

Area of Science:

  • Robotics and Artificial Intelligence
  • Systems Biology
  • Theoretical Biology

Background:

  • Biorobots offer a novel approach to modeling biological systems.
  • The utility of biorobots as scientific models is under ongoing discussion.
  • Understanding the scope and limitations of biorobotic modeling is crucial.

Purpose of the Study:

  • To evaluate the general consensus on the usefulness of biorobots as scientific models.
  • To identify key considerations and limitations associated with biorobotic modeling.
  • To explore the relationship between investigator goals and model selection in biology.

Main Methods:

  • Analysis of commentaries discussing biorobotic models.
  • Identification of areas of agreement and disagreement regarding biorobot utility.

Related Experiment Videos

  • Examination of factors influencing the choice and importance of model dimensions.
  • Main Results:

    • General support exists for biorobots as potentially useful biological models.
    • Caveats include incomplete coverage of biological areas and potential superiority of alternative methods.
    • The perceived importance of model dimensions is contingent on research objectives.

    Conclusions:

    • Biorobotic models show promise but are not universally applicable.
    • The 'modeling relationship' is defined by the interplay between model characteristics and research goals.
    • Further research should consider the specific aims when employing or developing biorobotic models.