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

A platform for evolving intelligently interactive adversaries.

David B Fogel1, Timothy J Hays, Douglas R Johnson

  • 1Natural Selection, Inc., 3333 N. Torrey Pines Ct., Suite 200, La Jolla, CA 92037, United States. dfogel@natural-selection.com

Bio Systems
|May 6, 2006
PubMed
Summary

Evolutionary algorithms help create novel, realistic nonplayer characters for video games. This research details a platform for evolving these computer-controlled characters in a World War I flight simulator.

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

Personal Reflections on Some Early Work in Evolving Strategies in the Iterated Prisoner's Dilemma.

Evolutionary computation·2023
Same author

Occurrence of Staphylococcus aureus in and the Moisture Content of Precooked Canned Bacon.

Journal of food protection·2019
Same author

Response to "A clinical trial is a success, not a failure, if it does not demonstrate efficacy or does identify safety concerns," by Simon Kolstoe, Hugh Davies, and Janet Messer.

Contemporary clinical trials communications·2018
Same author

Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review.

Contemporary clinical trials communications·2018
Same author

Simulating natural selection as a culling mechanism on finite populations with the hawk-dove game.

Bio Systems·2011
Same author

Interobserver variability in the fine needle aspiration biopsy diagnosis of follicular lesions of the thyroid gland.

Acta cytologica·2005

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Game Development

Background:

  • Designing broadly appealing entertainment software presents challenges, particularly in creating adaptive nonplayer characters (NPCs).
  • NPCs need to emulate human-like behaviors, exhibiting novelty and realism within dynamic game environments.
  • Existing methods may not fully capture the complexity required for truly emergent NPC behavior.

Purpose of the Study:

  • To explore the application of evolutionary algorithms for generating adaptive NPC behaviors.
  • To develop a platform for evolving NPCs with genetic and behavioral traits.
  • To enhance the realism and unpredictability of computer-controlled characters in video games.

Main Methods:

  • Utilizing evolutionary algorithms to evolve NPC behaviors.

Related Experiment Videos

  • Implementing a platform within a World War I combat flight simulator.
  • Defining genetic and behavioral traits for NPC evolution.
  • Main Results:

    • Demonstrated the feasibility of using evolutionary algorithms to generate complex NPC behaviors.
    • Successfully evolved NPCs exhibiting novel and realistic adaptations within the simulator.
    • The platform facilitates the creation of unrepeatable, yet plausible, character actions.

    Conclusions:

    • Evolutionary algorithms are a powerful tool for creating sophisticated and engaging NPCs.
    • The developed platform offers a novel approach to NPC behavior generation in the entertainment industry.
    • This research contributes to advancing AI in gaming through emergent, adaptive character design.