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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

427
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
427
Control Systems: Applications01:25

Control Systems: Applications

1.2K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.2K
Local Anesthetics: Common Agents and Their Applications01:23

Local Anesthetics: Common Agents and Their Applications

981
Local anesthetics (LAs) are commonly used for various applications in medical and dental procedures. Some of the common agents used are cocaine, lidocaine, and bupivacaine.
Cocaine is an ester of benzoic acid and methylecgogine. It is used to anesthetize and vasoconstrict locally. Currently, it is used primarily for topical applications. It is beneficial for surgeries on the upper respiratory tract, providing anesthesia and shrinking the mucosa. Cocaine in the form of cocaine hydrochloride is...
981
Language01:16

Language

919
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
919
Intelligence01:27

Intelligence

8.7K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.7K
Components of Language01:24

Components of Language

825
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
825

You might also read

Related Articles

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

Sort by
Same author

Emission of Photons by Near-Infrared PbS Quantum Dot Nanocrystals for a Large Diameter Range.

The journal of physical chemistry. C, Nanomaterials and interfaces·2026
Same author

Correction: Multi-agent systems powered by large language models: applications in swarm intelligence.

Frontiers in artificial intelligence·2026
Same author

Optical finger phantom with realistic optical properties.

Biomedical optics express·2025
Same author

A dataset for two-echelon electric vehicle routing problems.

Data in brief·2025
Same author

Balancing act: lipid-to-protein ratios steer the aggregation fate of α-synuclein.

Trends in biochemical sciences·2025
Same author

Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme.

Neuroinformatics·2024
Same journal

Logic, inference, understanding: cross-domain generalization for generative language models.

Frontiers in artificial intelligence·2026
Same journal

Label tree semantic losses for rich multi-class medical image segmentation.

Frontiers in artificial intelligence·2026
Same journal

Score-based generative diffusion models to synthesize full-dose FDG brain PET from MRI in epilepsy patients.

Frontiers in artificial intelligence·2026
Same journal

Resource-efficient retrieval-augmented question answering for the Indian Lok Sabha dataset.

Frontiers in artificial intelligence·2026
Same journal

Violation detection in power operation sites based on multi-scale detection and few-shot learning.

Frontiers in artificial intelligence·2026
Same journal

Deep reinforcement learning-based reversible medical image encryption framework for secure IoMT environments.

Frontiers in artificial intelligence·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
09:59

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

Published on: July 21, 2023

1.8K

Multi-agent systems powered by large language models: applications in swarm intelligence.

Cristian Jimenez-Romero1, Alper Yegenoglu2, Christian Blum3

  • 1ETIS Laboratory, ENSEA, CNRS, UMR8051, CY Cergy-Paris University, Cergy, France.

Frontiers in Artificial Intelligence
|June 5, 2025
PubMed
Summary
This summary is machine-generated.

Large language models (LLMs) now drive multi-agent simulations, replacing coded behaviors with adaptive prompts. This innovation enhances the study of complex systems like ant foraging and bird flocking.

Keywords:
LLM-guided agentsagent-based modelinglarge language modelssimulationswarm intelligence

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

Related Experiment Videos

Last Updated: Feb 10, 2026

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
09:59

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

Published on: July 21, 2023

1.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

Area of Science:

  • Artificial Intelligence
  • Computational Science
  • Complex Systems

Background:

  • Traditional multi-agent simulations rely on hard-coded agent behaviors.
  • Studying emergent behaviors in complex systems often requires flexible agent programming.
  • Swarm intelligence models natural self-organization but can be limited by fixed rules.

Purpose of the Study:

  • To integrate large language models (LLMs) into multi-agent simulations.
  • To replace hard-coded agent programs with LLM-driven prompts for adaptive behavior.
  • To explore the potential of LLMs in modeling complex systems and swarm intelligence.

Main Methods:

  • Developed a toolchain integrating LLMs with the NetLogo simulation platform via Python.
  • Utilized GPT-4o through the OpenAI API for prompt-driven agent behavior generation.
  • Implemented both structured, rule-based, and autonomous, knowledge-driven prompts.
  • Applied the toolchain to ant colony foraging and bird flocking simulations.

Main Results:

  • Demonstrated LLM-driven agents can adaptively respond to environmental data.
  • Showcased the ability to study self-organizing processes using LLM prompts.
  • Successfully induced emergent behaviors in multi-agent simulations.
  • Validated the approach for modeling swarm intelligence phenomena.

Conclusions:

  • LLM integration offers a novel paradigm for multi-agent simulations.
  • Prompt-driven behaviors enable more dynamic and realistic modeling of intelligent systems.
  • This approach facilitates the exploration of emergent phenomena inspired by nature.