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

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Geometric Mean01:15

Geometric Mean

The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
Evolutionary Psychology01:20

Evolutionary Psychology

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 human psyche...

You might also read

Related Articles

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

Sort by
Same author

JOINclusion: A serious mobile game for promoting ethnocultural empathy in schools.

The British journal of developmental psychology·2026
Same author

Editorial: Between emotional regulation and dysregulation: perspectives, interventions, tools and technologies for psychological well-being.

Frontiers in behavioral neuroscience·2026
Same author

Navigation and spatial learning in Hermann's tortoises: Insights from geometric reorientation.

Journal of experimental psychology. Animal learning and cognition·2026
Same author

The Magic Curiosity Arousing Tricks (MagicCATs) database in Italian younger and middle-aged adults: Descriptive statistics and rule-based machine learning.

Behavior research methods·2025
Same author

Laterality, verticality and spatial organization of school-age children measured through E-Baking Tray Task quantitative indexes: A comparative developmental approach.

Acta psychologica·2025
Same author

Predicting Cognitive Decline in Parkinson's Disease Using Artificial Neural Networks: An Explainable AI Approach.

Brain sciences·2025

Related Experiment Video

Updated: Jun 21, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Encoding geometric and non-geometric information: a study with evolved agents.

Michela Ponticorvo1, Orazio Miglino

  • 1Laboratory of Artificial and Natural Cognition, Department of Relational Sciences, University of Naples "Federico II", Via Porta di Massa 1, 80133 Naples, Italy. michela.ponticorvo@unina.it

Animal Cognition
|July 8, 2009
PubMed
Summary

Artificial Life experiments show that spatial orientation in agents depends on training exposure. More frequent geometric or non-geometric information during training leads to primacy of that cue in mixed environments.

More Related 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

Related Experiment Videos

Last Updated: Jun 21, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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

Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Animal Behavior

Background:

  • Vertebrate orientation relies on geometric and non-geometric cues.
  • Geometric primacy, where geometric cues dominate, has been explained by modular processing.
  • The debate continues on whether geometric information encoding is innate or learned.

Purpose of the Study:

  • Investigate mechanisms behind diverse orientation behaviors using Artificial Life.
  • Test the hypothesis that experience shapes cue dominance in spatial orientation.
  • Explore non-modular explanations for orientation behavior variations.

Main Methods:

  • Utilized Artificial Life experiments with simulated agents.
  • Trained agents with varying frequencies of geometric and non-geometric information.
  • Tested agent orientation in environments with single or mixed cue types.

Main Results:

  • Agents trained on single information classes oriented efficiently in their respective environments.
  • When exposed to mixed cues, agents showed primacy for the information type most frequently encountered during training.
  • Evidence suggests a single neuro-representation for processing both geometric and non-geometric information.

Conclusions:

  • Agent orientation behavior (geometric primacy, non-geometric primacy, or no primacy) is determined by the frequency of exposure to different spatial information types during learning.
  • Modular cognitive systems are not necessary to explain diverse orientation behaviors.
  • Experience-driven learning can shape sophisticated spatial orientation without specialized modules.