Multi Agent System
Multi Agent System

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Products and services for "Multi Agent System"

Image for Second-Order Consensus of Continuous-Time Multi-Agent Systems– Booksmart
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Verified

Second-Order Consensus of Continuous-Time Multi-Agent Systems– Booksmart

Second-Order Consensus of Continuous-Time Multi-Agent Systems

by Booksmart

Image for AI - Multi-Agent Systems
Service

Verified

AI - Multi-Agent Systems

Verification and validation of multi-agent systems - reseach project

by CMGTec LLC

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Verified

Artificial Intelligence

Artificial Intelligence

by CMGTec LLC

7 companies for "Multi Agent System"

CMGTec LLC's Logo

Bristol, United Kingdom

1-10 Employees

2020

We are very proud of our professional experience in all the relevant aspects of our services. We have more than 20 years of experience in software engineering in industry and scientific research that covers various areas of computer science and mathematics including artificial intelligence (AI), machine learning (ML), data science, computer graphics, mobile computing, big data, multi-agent systems, probabilistic and statistical modelling, distributed systems, parallel computing, safety-critical systems, design of decision making criteria, video games, web systems, e-Learning, IoT, and virtual reality among others. Some of our experience in these areas can be found through these links: AI, Safety-critical Systems, Computer Graphics, Mobile Computing, Software Engineering. We have published over 50 papers and supervised 23 MSc theses and 4 PhD theses. CMGTec follows best practices, methodologies and standards in order to ensure the seamless integration of our solutions with the existing environment. Please see our experience in Software Engineering.

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Service
Image for AI - Multi-Agent Systems

AI - Multi-Agent Systems

... Verification and validation of multi-agent systems - reseach ...

Booksmart's Logo

Singapore, Singapore

11-50 Employees

2021

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Image for Second-Order Consensus of Continuous-Time Multi-Agent Systems

Second-Order Consensus of Continuous-Time Multi-Agent Systems

... Second-Order Consensus of Continuous-Time Multi-Agent Systems– ...

AEON Project's Logo

Brussels, Belgium

1-10 Employees

2020

The development of the operational concept is considered on three different time ranges. As a long-term strategy, AEON elaborates an investment model to help airports or airlines evaluate their interest in our solution. Further, on a operations strategic phase, the Consortium considers different techniques to use on each aircraft and to reduce fuel consumption. Finally, on a operations tactical phase, AEON considers real-time evaluations of environmental indicators to support decision-making tool to be implemented. The project will work closely with airports, airlines and manufacturers on developing the concept of operations in order to ensure that the approach proposed can be integrated into already existing airport collaborative decision-making tools.

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Image for Public Deliverables - AEON

Public Deliverables - AEON

... D2.1 – Multi-Agent System for ...

SCALIAN's Logo

Labège, France

11-50 Employees

1989

Comme consultant, rejoindre Scalian, c’est adhérer à un projet professionnel qui vous apportera épanouissement dans un climat bienveillant et collectif. Comme client, faire confiance à Scalian c’est vous assurer d’un partenaire engagé, innovant et respectueux de ses valeurs. Notre mission : comprendre les métiers de nos clients pour élaborer des solutions hautement compétitives. Créé en 1989, Scalian est un spécialiste de la transformation des entreprises par sa double maîtrise des processus métiers et des technologies digitales.

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Image for Unmanned Systems - Scalian

Unmanned Systems - Scalian

... AI in multi-agent systems ...

Artificial Intelligence Lab Brussels's Logo

Brussels, Belgium

51-100 Employees

1983

The Artificial Intelligence Lab, founded in 1983 by Prof. Luc Steels, is the first AI lab on the European mainland. Bernard Manderick. During its history of more than three decades, the VUB AI Lab has been following two main routes towards the understanding of intelligence: both the symbolic route (classical AI) as the dynamics route (complex systems science). Since its foundation, more than 50 people have received a PhD degree at the Artificial Intelligence Lab, of which 18 in the past 5 years only. The total amount of publications sums up to more than 850 publications which are cited more than 24.000 times, 8500 times in the last 5 years.

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Image for Software | Artificial Intelligence Lab Brussels

Software | Artificial Intelligence Lab Brussels

... Toolbox Multi-Agent Systems ...

RobotShop's Logo

Boisbriand, Canada

11-50 Employees

2003

Founded in 2003, we specialize in robotics technology and offer a wide range of products and services in this sector. We operate globally and our head office is located in Mirabel, Quebec, Canada.

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Image for Multi Agent Rosbots TX X3 - RobotShop

Multi Agent Rosbots TX X3 - RobotShop

... Each multi agent ROSbot system contains three ROSbots ROS is ready for rapid prototyping and product development Bundled with LiDAR and depth camera Mecanum driving system Lidar: Leishen LSLiDAR The Multi Agent Rosbots TX X3 System is designed for educational projects ...

HORIBA's Logo

Kyoto, Japan

5001-10000 Employees

1945

The HORIBA Group of worldwide companies provides an extensive array of instruments and systems for applications ranging from automotive R&D, process and environmental monitoring, in-vitro medical diagnostics, semiconductor manufacturing and metrology, to a broad range of scientific R&D and QC measurements. Proven quality and trustworthy performance have established widespread confidence in the HORIBA Brand. HORIBA Automotive provides innovative applications and insights, advanced automotive validation and…. HORIBA Medical designs, develops and distributes worldwide, in vitro diagnostic systems mainly…. HORIBA Process and Environmental provides a wide range of technologies to measure air, water and….

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Image for 2019 Masao Horiba Awards - HORIBA

2019 Masao Horiba Awards - HORIBA

... Carbon-Neutral Energy Research, Kyushu University Awarded Research: Machine Learning based and Multi-Agent System based Control and Optimization Approaches for Electric Vehicles, Power Grids, and their Interaction Winner : Ichiro MARUTA, Dr. of Informatics Associate Professor, ...

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„Multi Agent System“

A Multi-Agent System (MAS) is a computerized system composed of multiple autonomous agents that interact with each other in order to achieve a common goal. Each agent is an autonomous entity that has its own set of capabilities and is capable of making decisions independently from other agents. An MAS is an environment in which agents can interact and collaborate with each other in order to solve complex problems or complete tasks that are too difficult for an individual agent to complete alone. Examples of MAS include distributed artificial intelligence, distributed robotics, and networked systems.