scholarly journals Instrumentation des activités des tuteurs à l’aide d’un système multi-agents d’analyse automatique des interactions

2011 ◽  
Vol Volume 14 - 2011 - Special... ◽  
Author(s):  
Ilham Oumaira ◽  
Rochdi Messoussi ◽  
Raja TOUAHNI
Keyword(s):  
Nous Avons ◽  
Social Cognitive ◽  
Adaptive System ◽  
Interaction Analysis ◽  
Interaction Data ◽  
Multi Agent System ◽  
Système Adaptatif ◽  
International Audience ◽  
Multi Agent ◽  
Multi Agents

International audience Research presented in this article is dedicated to the tutor instrumentation in distance collaborative learning situations. We are particularly interested in the reuse of interaction analysis indicators. In this paper, we present our system SYSAT; a multi-agent system for monitoring the activities of learners. The aim of SYSAT is to reuse indicators (social, cognitive, emotional ...) reported in the literature, in an open and adaptive system. We tested our system on the interaction data from two experiments conducted with two master students of the Ibn Tofail University. The article presents the results and discusses the prospects for Research. Ce travail s'inscrit dans le cadre des recherches sur les Environnements Informatiques pour l'Apprentissage Humain (EIAH), et plus particulièrement dans l’assistance du tuteur dans le suivi des apprenants lors des activités d’apprentissage collaboratives en ligne. Cet article décrit l’architecture du système SYSAT, un système multi-agents d’analyse automatique des interactions. L’objectif de SYSAT est de réutiliser les indicateurs (sociaux, cognitifs, affectifs…) rapportés dans la littérature, au sein d’un système adaptatif et ouvert. Nous avons testé notre système sur les données d’interactions issues de deux expérimentations menées avec les étudiants de deux masters à l’université Ibn Tofail. L’article présente les résultats obtenus et évoque les perspectives de recherche.

scholarly journals Developing fire evacuation simulation through BDI-based modelling and simulation

2021 ◽  
Vol 2107 (1) ◽  
pp. 012047
Author(s):  
Ng YenChern ◽  
Cheah WaiShiang ◽  
Sim KengWai ◽  
Muhammad Asyraf bin Khairuddin ◽  
Nurfauza bt Jali ◽  
...  
Keyword(s):  
Multi Agent System ◽  
Game Engine ◽  
Evacuation Simulation ◽  
System A ◽  
Bdi Agent ◽  
Fire Evacuation ◽  
Multi Agent ◽  
Main Components ◽  
Multi Agents

Abstract Fire evacuation simulation is used to simulate the fire evacuation procedures by involving human-like agents. In this paper, the fire evacuation simulation is designed and developed by adopting the BDI agent plug-in. BDI (Belief, Desires, Intentions) is a technique used in modelling the multi-agent system. A tool and BDI methodology are introduced to help in modelling human behaviour and the decision making of an agent. In this paper, the usability of the BDI methodology and BDI agent plug-in tool is studied through a case study of a fire evacuation environment. The case study covers the three main components needed in a fire evacuation simulation: the fire (the spread of the fire and smoke), the building layout (the classroom and physical objects), and the human-like multi-agents. Using the Unity game engine, a fire evacuation simulation system is built based on the requirements, methodology, and design. The usability of the BDI agent plug-in tool can be proven by observing the results of the fire evacuation simulation and the reaction of agents when encountering the fire situation. However, there are also some limitations of this fire evacuation simulation. Therefore, there are works to be done to develop a more realistic fire evacuation simulation and more human-like multi-agents in future.

High gain feedback robust control for flocking of multi-agents system

2019 ◽  
Vol 41 (13) ◽  
pp. 3769-3776
Author(s):  
Qing Zhang ◽  
Jie Wang ◽  
Zhengquan Yang ◽  
Zengqiang Chen
Keyword(s):  
Robust Control ◽  
Lyapunov Stability ◽  
Nonlinear Dynamic System ◽  
High Gain ◽  
Multi Agent System ◽  
Agent System ◽  
Velocity Error ◽  
Multi Agent ◽  
Theory Of Lyapunov Stability ◽  
Multi Agents

This paper focuses on the detailed illustration over the feedback robust control of high gain for flocking of the multi-agent system. As for the second-order unknown bounded nonlinear dynamic system, the designed controller has feedback robust control of high gain. Under the action of the leader, the flocking of the multi-agent system established on the basis of high gain feedback robust control can be realized. By employing the theory of Lyapunov stability, it is observed that the velocity error between agents approaches to zero, and no collision occurs between agents. It is further proved by the simulation that the high gain feedback robust control for flocking of multi-agent system can be obtained accordingly. Compared with Qing et al. (2014), high gain feedback robust control for flocking of multi-agent system has better stability.

Modeling of Multi-Agents' Coordination

2013 ◽  
Vol 437 ◽  
pp. 222-225
Author(s):  
Mei Zhang ◽  
Jing Hua Wen ◽  
Yong Long Fan
Keyword(s):  
Genetic Algorithm ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Virtual Geographic Environment ◽  
Multi Agent ◽  
Geographic Environment ◽  
Behaviour Learning ◽  
Centralized System ◽  
Multi Agents

It takes cooperation among multi-user in virtual geographic environment (VGE) based on Multi-Agent System (MAS) in the centralized system as researched object. Then we detailed analyze and research arithmetic of collectivistic operating behaviour learning of Multi-Agent based on Genetic Algorithm (GA). Finally we design an example which shows how 3 evolutional Agents cooperate to complete the task of colony pushing cylinder box.

scholarly journals Formal Tools for Management of Manufacturing Systems: A Multi Agents System Approach

2019 ◽  
Vol 13 (5) ◽  
pp. 691-699
Author(s):  
Doriana M. D’Addona ◽  
Alessandro A. Bruzzone ◽  
◽  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Technological Innovations ◽  
Real Sector ◽  
Multi Agent System ◽  
Industrial Internet ◽  
Multi Agent ◽  
Multi Agents

To overcome the consequences of the 2008 crisis on the real sector, especially manufacturing, Industry 4.0 gives guidelines to drive production by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of the emergent synthesis paradigm. Specifically, the structuring process by which the manufacturing assets are organized to provide the finished goods is analyzed. The study is carried out by considering the analogies between manufacturing and other inventive processes supported by formal tools such as formal languages, semantic webs, and multi agent system.

Study of Multi-Agent Based Integratable Manufacturing Execution System Model

2011 ◽  
Vol 366 ◽  
pp. 268-271
Author(s):  
Fan Li
Keyword(s):  
System Model ◽  
Multi Agent System ◽  
Manufacturing Execution System ◽  
Agent Based ◽  
Software Applications ◽  
Contract Net ◽  
Multi Agent ◽  
Integrated Software ◽  
Manufacturing Execution ◽  
Multi Agents

Manufacturing Execution System (MES) has significantly evolved into more powerful and integrated software applications. However, MES applications still fall short of adding decision-making tools capabilities in adaptive manufacturing. On the base of analyzing the deficiencies of the traditional MES, this paper proposes the model of MES based multi-agent and the Contract Net based mechanism of cooperation planning. In the process of communication among multi-agents, strategy agent cooperates with schedule agent so as to realize dynamic and adaptive scheduling. Finalay, system framework based on CORBA and Multi-Agent System was put forward.

scholarly journals Flocking for Multiagent Systems with Partial Information Exchange Based on Inclusion Principle

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hui Wei ◽  
Xuebo Chen
Keyword(s):  
Information Exchange ◽  
Partial Information ◽  
Individual Heterogeneity ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
The Stability ◽  
The Individual ◽  
Multi Agents

This paper investigates the flocking problem of multi-agents with partial information exchange, which means that only part, but not all, of the agents are informed of the group objective. A distributed flocking model based on the inclusion principle is provided to simplify the design and analysis of multi-agent systems. Furthermore, to reduce the communication energy consumption, an improved flocking algorithm based on the model is proposed to achieve stable flocking for all the agents. The stability of the multi-agent system is then established, with the help of the Lyapunov stability theorem and LaSalle’s invariance principle. Especially, considering the individual heterogeneity in both nature and engineering applications, we also investigate the flocking problem of multi-agents with different sensing radiuses and equilibrium distances. Finally, two kinds of simulation results are presented to demonstrate the validity of the proposed results. This work provides an insight not only into the properties of the different species of individual flocking, but also into the theoretical framework for the engineering design of multi-agent systems considering individual heterogeneity.

Digital Circuit of Multi-Agent System for Two Pedestrian Streams in A Narrow Path

2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI
Keyword(s):  
Digital Circuit ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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