Software-in-the-loop testbed for multi-agent-systems in a discrete event simulation: Integration of the Java Agent Development Framework into Plant Simulation

2017 ◽  
Author(s):  
Michael Scholz ◽  
Stefan Oberschachtsiek ◽  
Toni Donhauser ◽  
Jorg Franke
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Event Simulation ◽  
Development Framework ◽  
Multi Agent ◽  
Plant Simulation ◽  
Agent Development

scholarly journals JADE Multi-agent Middleware Applied to Contribute to Certificate Management of Students

2015 ◽  
Vol 16 (1) ◽  
pp. 176
Author(s):  
Fatiha Aityacine ◽  
Badr Hssina ◽  
Belaid Bouikhalene
Keyword(s):  
Personal Data ◽  
Distributed Artificial Intelligence ◽  
Shared Environment ◽  
Multi Agent Systems ◽  
Administrative Services ◽  
Agent Systems ◽  
Development Framework ◽  
Ability To Act ◽  
Multi Agent ◽  
Agent Development

In this article, we present a multi-agent approach that aims to design, modeling and implementation of an application "smart school". Indeed Several institutions adopt the computerized management of education to meet the needs of students using multi-agent systems. They have the ability to act simultaneously in a shared environment. The purpose of this approach is to automate some administrative services of education, based on the theory of distributed artificial intelligence (DAI) and multi-agent systems (MAS). This multi-agent application integrates entities called agents that cooperate and communicate them to perform specific tasks. Our system is based on the middleware JADE (Java Agent DEvelopment Framework) used for the implementation and agents management. This model based on multi-agent systems is tested on the personal data of an experiment conducted with the students of Sultan Moulay Slimane University in Beni Mellal.

A Development Framework of Smart Grid Control System Based on MAS

2012 ◽  
Vol 614-615 ◽  
pp. 807-810
Author(s):  
Ye Liu ◽  
Shou Xiang Wang
Keyword(s):  
Smart Grid ◽  
Distributed Artificial Intelligence ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Past ◽  
Development Framework ◽  
Control Framework ◽  
Multi Agent ◽  
Frame Construction ◽  
Agent Development

In this paper, MAS is used to model the framework of smart grid. Multi-Agent Systems (MAS) is one of the popular method in Distributed Artificial Intelligence (DAI) in the past years, which is a good tools to simulate and model the complex systems. Several MAS develop platforms are exist. Considering that JADE (Java Agent Development Framework) is one of the helpful and convenient developing environments of MAS, JADE is adapted to develop smart grid control framework. In this paper, a suitable frame construction of the Multi-Agent Systems for the current power system is designed, which is applied to the smart grid with excellent adaptability and flexibility.

scholarly journals The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 363 ◽  
Author(s):  
Davide Calvaresi ◽  
Jean-Paul Calbimonte ◽  
Alevtina Dubovitskaya ◽  
Valerio Mattioli ◽  
Jean-Gabriel Piguet ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Early Stage ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Ethical Implications ◽  
Blockchain Technology ◽  
Development Framework ◽  
Multi Agent ◽  
Distributed Intelligent Systems ◽  
Similar Solutions

The agent based approach is a well established methodology to model distributed intelligent systems. Multi-Agent Systems (MAS) are increasingly employed in applications dealing with safety and information critical tasks (e.g., in eHealth, financial, and energy domains). Therefore, transparency and the trustworthiness of the agents and their behaviors must be enforced. For example, employing reputation based mechanisms can promote the development of trust. Nevertheless, besides recent early stage studies, the existing methods and systems are still unable to guarantee the desired accountability and transparency adequately. In line with the recent trends, we advocate that combining blockchain technology (BCT) and MAS can achieve the distribution of the trust, removing the need for trusted third parties (TTP), potential single points of failure. This paper elaborates on the notions of trust, BCT, MAS, and their integration. Furthermore, to attain a trusted environment, this manuscript details the design and implementation of a system reconciling MAS (based on the Java Agent DEvelopment Framework (JADE)) and BTC (based on Hyperledger Fabric). In particular, the agents’ interactions, computation, tracking the reputation, and possible policies for disagreement-management are implemented via smart contracts and stored on an immutable distributed ledger. The results obtained by the presented system and similar solutions are also discussed. Finally, ethical implications (i.e., opportunities and challenges) are elaborated before concluding the paper.

scholarly journals Advances in energy-related plant simulation by considering load and temperature profiles in discrete event simulation

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 1325-1330
Author(s):  
Andreas Mayr ◽  
Tobias Lechler ◽  
Toni Donhauser ◽  
Maximilian Metzner ◽  
Eike Schäffer ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Temperature Profiles ◽  
Event Simulation ◽  
Related Plant ◽  
Plant Simulation

scholarly journals Modeling Agent-Oriented Methodologies for Landslide Management

2019 ◽  
Vol 4 (2) ◽  
pp. 193
Author(s):  
Very Sugiarto ◽  
Fatwa Ramdani ◽  
Fitra Bachtiar
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Multi Agent System ◽  
Agent Systems ◽  
Development Framework ◽  
Specific Objective ◽  
Multi Agent ◽  
Prometheus Methodology ◽  
Agent Development

One of the most fatal natural disasters in Batu City was a landslide. The percentage of casualties if directly affected by landslides is 47%. This number is quite large when compared to other natural disasters. Even though the potential of the tsunami is the biggest, when compared to the intensity of the occurrence, landslides are the most common and most often cause fatalities. One of the causes of many fatalities in natural disasters is the lack of preparedness management. For that reason the need to develop a technology that can support to reduce fatalities in landslides is needed. One of the technologies used to prevent the number of fatalities caused by natural disasters is to use multi-agent system. One of the advantages of an agent is use Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). The specific objective of this study was to model a simulated natural disaster landslide using the Prometheus Methodology. Evaluation is done by generating a model using jackCode and implementing it using the Java Agent Development Framework. The results of this study indicate that a model made using the Prometheus Methodology can be used as a simulation of natural disaster preparedness for landslides.

Sign in / Sign up

Export Citation Format

Share Document