Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Natural and Artificial Concepts

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...

Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

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...

Fixed Action Patterns

Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.

You might also read

Related Articles

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

Sort by

Same author

Alive!

New scientist (1971)·2005

Same author

Gay gene test 'inaccurate and immoral'

New scientist (1971)·1994

Same journal

Feedback.

New scientist (1971)·2024

Same journal

Nanoscale DNA 'hand' grabs viruses.

New scientist (1971)·2023

Same journal

Does covid-19 affect pregnancies?

New scientist (1971)·2023

Same journal

Covid-19 vaccine tweak could better tackle today's variants.

New scientist (1971)·2023

Same journal

Covid-19's impact on the gut.

New scientist (1971)·2023

Same journal

Overcoming your inner goblin.

New scientist (1971)·2023

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 24, 2025

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Nature's patterns, unlocked with AI.

New Scientist (1971)

|April 15, 2020

Summary

This summary is machine-generated.

Smart software can forecast invasive plant species and disease outbreaks. This predictive capability aids in early detection and management strategies for biological threats.

More Related Videos

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

Related Experiment Videos

Last Updated: Dec 24, 2025

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

Area of Science:

Ecology
Plant Pathology
Computational Biology

Background:

Invasive species and disease outbreaks pose significant threats to biodiversity and agriculture.
Early detection is crucial for effective management and mitigation of ecological and economic damage.

Purpose of the Study:

To develop and evaluate smart software capable of predicting future invasive plant species and disease outbreaks.
To enhance proactive management strategies through advanced forecasting.

Main Methods:

Utilizing machine learning algorithms and big data analytics.
Integrating ecological data, climate patterns, and historical outbreak records.

Main Results:

The software demonstrated high accuracy in predicting the emergence of novel invasive plant species.
Successful forecasting of potential disease outbreak hotspots was achieved.

Conclusions:

Smart software offers a powerful tool for anticipating biological invasions and disease epidemics.
Predictive modeling can significantly improve ecological surveillance and response efforts.