The design of an intelligent multi-agent system for supporting collaborative learning

2014 ◽  
Author(s):  
Issam Matazi ◽  
Rochdi Messoussi ◽  
Abdellah Bennane
Keyword(s):  
Collaborative Learning ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

An Adaptive Multi-Agent Environment

2011 ◽  
pp. 1-5
Author(s):  
Rejane Pinheiro ◽  
Elizabeth Furtado
Keyword(s):  
Collaborative Learning ◽  
Learning Objects ◽  
Decision Processes ◽  
Agent Technology ◽  
Artificial Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Cognitive Characteristics ◽  
Construction Of Knowledge ◽  
Multi Agent

This article aims to develop a new environment of collaborative learning, by taking into account the criteria of construction of knowledge by the apprentices and the adaptative management of that knowledge by artificial agents. The multi-agent technology has been chosen due to the possibility of having artificial agents with internal decision processes to help students in the construction of their own projects and enabling learning objects available in accordance with the cognitive characteristics of the students and of their group. In this multi-agent system, exchanges of messages between the agents can occur so that they can perform theirs tasks in the best possible way.

scholarly journals Social Presence Approach Within the Question and Answering eLearning Model: An Experiment with a Multi-Agent System

Respuestas ◽  
2012 ◽  
Vol 17 (1) ◽  
pp. 27-34
Author(s):  
Cecilia Avila ◽  
Jorge Bacca ◽  
Josep Lluis de la Rosa ◽  
Silvia Baldiris ◽  
Ramon Fabregat
Keyword(s):  
Social Network ◽  
Collaborative Learning ◽  
Social Presence ◽  
Multiagent System ◽  
Classical Model ◽  
Quantitative Measure ◽  
Multi Agent System ◽  
Agent System ◽  
The Social ◽  
Multi Agent

The model of Questions Answering (Q&A) for eLearning is based on collaborative learning through questions that are posed by students and their answers to that questions which are given by peers, in contrast with the classical model in which students ask questions to the teacher only. In this proposal we extend the Q&A model including the social presence concept and a quantitative measure of it is proposed; besides it is considered the evolution of the resulting Q&A social network after the inclusion of the social presence and taking into account the feedback on questions posed by students and answered by peers. The social network behaviorwas simulated using a Multi-Agent System to compare the proposed social presence model with the classical and the Q&A models.Keywords: Social presence, social network, eLearning, Q&A Model, MultiAgent System.

scholarly journals A Multi Agent System architecture to implement Collaborative Learning for social industrial assets

2018 ◽  
Vol 51 (11) ◽  
pp. 1237-1242 ◽  
Author(s):  
Kshitij Bakliwal ◽  
Maharshi Harshadbhai Dhada ◽  
Adrià Salvador Palau ◽  
Ajith Kumar Parlikad ◽  
Bhupesh Kumar Lad
Keyword(s):  
Collaborative Learning ◽  
System Architecture ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent
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