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

Convergent Evolution01:54

Convergent Evolution

29.1K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
29.1K
Evolutionary Psychology01:20

Evolutionary Psychology

450
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
450
Cognitive Learning01:21

Cognitive Learning

672
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
672
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

163
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
163
Introduction to Learning01:18

Introduction to Learning

551
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
551
Associative Learning01:27

Associative Learning

605
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
605

You might also read

Related Articles

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

Sort by
Same author

Internalized Evolutionary Inertia on Body Plan Evolution.

Evolution & development·2026
Same author

Whole-genome sequencing reveals a possible molecular basis of sex determination in the dioecious wild yam Dioscorea tokoro.

PLoS genetics·2026
Same author

Maternal immune activation does not affect maternal microchimeric cells.

Biology open·2024
Same author

On the evolutionary origin of discrete phenotypic plasticity.

G3 (Bethesda, Md.)·2024
Same author

Deciphering the origin of developmental stability: The role of intracellular expression variability in evolutionary conservation.

Evolution & development·2024
Same author

Hagfish genome elucidates vertebrate whole-genome duplication events and their evolutionary consequences.

Nature ecology & evolution·2024
Same journal

Hidden Fungal DNA Structures May Shape Sequencing Outcomes.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same journal

An Engineering Perspective on the Importance of Obtaining Operational Stability in Graduate School.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same journal

Biomolecular Condensates at the Crossroads of HIV Infection and Immune Evasion.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same journal

Zebrafish as an Anti-Isogenic Vertebrate Model and What It Reveals About Genetic Background and Reproducibility.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same journal

Unifying Retaria Research: A Common Framework for Studying Foraminifera and Radiolaria.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same journal

Oxidation-Induced C-Terminal Amidation Marks Proteins for Degradation.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
See all related articles
  1. Home
  3. Implications From The Analogous Relationship Between Evolutionary And Learning Processes.
  1. Home
  3. Implications From The Analogous Relationship Between Evolutionary And Learning Processes.

Related Experiment Video

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K

Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

Jason Cheok Kuan Leong1, Masaaki Imaizumi2,3, Hideki Innan1

  • 1Research Center for Integrative Evolutionary Science (RCIES), SOKENDAI, Hayama, Kanagawa, Japan.

Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology
|June 8, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Organismal evolution and machine learning share parallels, offering mutual benefits. This review advocates for interpretable machine learning to discover evolutionary laws and enhance predictive theory in biology.

More Related Videos

Appetitive Associative Olfactory Learning in Drosophila Larvae
09:22

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

19.2K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

Related Experiment Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K
Appetitive Associative Olfactory Learning in Drosophila Larvae
09:22

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

19.2K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

Area of Science:

  • Evolutionary Biology
  • Machine Learning
  • Computational Biology

Background:

  • Organismal evolution involves generational trial-and-error for improved phenotypes.
  • The analogy between evolution and machine learning (ML) has been recognized since the 1950s.
  • Significant opportunities exist for interdisciplinary research between evolutionary biology and ML.

Purpose of the Study:

  • To explore conceptual parallels between evolutionary biology and ML.
  • To enhance predictive capabilities and theoretical frameworks in both fields.
  • To advocate for interpretable ML for discovering generalizable evolutionary laws.

Main Methods:

  • Review of recent advances in evolutionary biology and ML.
  • Analysis of conceptual parallels and their implications.
  • Focus on interpretable ML for predictive modeling in evolution.

    • Main Results:

    • Identified significant conceptual overlaps between evolutionary processes and ML algorithms.
    • Highlighted the potential of interpretable ML to uncover fundamental laws governing evolutionary outcomes.
    • Demonstrated how ML can advance theoretical biology and inspire new algorithms.

    Conclusions:

    • Integrating interpretable ML can transform evolutionary science into a predictive field.
    • This interdisciplinary approach fosters mutual advancement in biology and computer science.
    • Future research should focus on developing theoretical frameworks for evolutionary prediction using ML.