Intelligent Clouds

2012 ◽  
pp. 254-279 ◽  
Author(s):  
Mauricio Paletta
Keyword(s):  
Multi Agent Systems ◽  
Cloud Systems ◽  
Agent Systems ◽  
E Learning ◽  
Multi Agent ◽  
Collaboration And Communication

This chapter describes the similarity of intelligent clouds and multi-agent systems. It also explains why intelligent clouds are useful and important. It gives detailed descriptions on how to incorporate intelligent abilities such as learning, negotiation, collaboration, and communication to cloud systems by using IAs. It also details the application of intelligent clouds in e-learning.

scholarly journals Cloud e-Learning: A New Challenge for Multi-Agent Systems

2014 ◽  
pp. 277-287 ◽  
Author(s):  
Krenare Pireva ◽  
Petros Kefalas ◽  
Dimitris Dranidis ◽  
Thanos Hatziapostolou ◽  
Anthony Cowling
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
E Learning ◽  
Multi Agent

scholarly journals Adaptive Interaction Multi-agent Systems in E-learning/E-teaching on the Web

2003 ◽  
pp. 144-153 ◽  
Author(s):  
Antonio Fernández-Caballero ◽  
Victor López-Jaquero ◽  
Francisco Montero ◽  
Pascual González
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
E Learning ◽  
Multi Agent ◽  
Adaptive Interaction ◽  
The Web

R2-IBN

2009 ◽  
pp. 144-157
Author(s):  
Lobna Hsairi ◽  
Khaled Ghédira ◽  
Adel M. Alim ◽  
Abdellatif BenAbdelhafid
Keyword(s):  
Information Management ◽  
Organizational Structures ◽  
Agent Technology ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Intelligent Software ◽  
Proposed Model ◽  
Multi Agent ◽  
Collaboration And Communication ◽  
Negotiation Problem

In the age of information proliferation, openness, open information management, interconnectivity, collaboration and communication advances, extended enterprises must be up to date to the new strategic, economic and organizational structures. Consequently, intelligent software based on agent technology emerges to improve system design, and to increase enterprise competitive position as well. The competitiveness is based on the information management, cooperation, collaboration and interconnectivity. Thus, within these interconnectivity and cooperation, conflicts may arise. The automated negotiation plays a key role to look for a common agreement. Argumentation theory has become an important topic in the field of Multi-Agent Systems and especially in the negotiation problem. In this chapter, first, the proposed model MAIS-E2 (Multi-Agent Information System for an Extended Enterprise) is presented. Then an argumentation based negotiation framework: Relationship-Role and Interest Based Negotiation (R2-IBN) framework is presented, and within this framework, the authors focused mainly on, argument generation module via inference rules and argument selection module via fuzzy logic.

scholarly journals MAPSS: An Intelligent Architecture for the Pedagogical Support

2019 ◽  
Vol 14 (14) ◽  
pp. 19
Author(s):  
Najoua Hrich ◽  
Mohamed Lazaar ◽  
Mohamed Khaldi
Keyword(s):  
Artificial Intelligence ◽  
Learning Environments ◽  
Theoretical Foundation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
E Learning ◽  
Multi Agent ◽  
Learning Platforms ◽  
The Subject ◽  
Competency Evaluation

The multi-agent systems (MAS) are a part of artificial intelligence (AI), they have emerged today in the development of major e-learning platforms. Their integration has given new impetus to learning environments by the possibility of integrating new parameters (psychological, pedagogical, ergonomic…) favoring a better adaptation to the learner. In addition, the multiagent approach offers the possibility to design flexible solutions based on a set of agents which are in continuous communication to accomplish the tasks entrusted to them. In this paper, we propose a model of pedagogical support based on a coupling of ontology and multi-agent systems for a synergy of their forces and the important contribution they can make to improve the learning-teaching process. Previous work has been the subject of theoretical foundation related to competency evaluation, and development of an ontology and an algorithm for evaluating competency. As a continuity, we present the design of Multiagent Pedagogical Support System (MaPSS) and the different scenarios of its utilization.

Sign in / Sign up

Export Citation Format

Share Document