Design of an Intelligent System to Support Tutors in Learning Communities Using Multi-Agent Systems and Fuzzy Logic

2015 ◽  
Vol 10 (8) ◽  
pp. 845 ◽  
Author(s):  
Youness Chaabi ◽  
R. Messoussi ◽  
V. Hilaire ◽  
Y. Ruichek ◽  
K. Lekdioui ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Learning Communities ◽  
Intelligent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Intelligent Traceability System of Containerized Goods

2013 ◽  
Vol 309 ◽  
pp. 241-251 ◽  
Author(s):  
Mourad Abed ◽  
Imen Charfeddine ◽  
Mounir Benaissa ◽  
Marta Starostka-Patyk
Keyword(s):  
Supply Chain ◽  
Intelligent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Traceability System ◽  
Transport Chain ◽  
Multimodal Transport ◽  
Literature Reviews ◽  
Different Types ◽  
Multi Agent

In recent year, many countries across in the world have made traceability a compulsory procedure in the Supply Chain. The Supply Chain is distributed collaborative environments involves the acquisition and use of extensive informational and physical flows. The flows management seems a complex task for the actors of the multimodal transport chain which the transport is the major driver in a Supply Chain. The literature reviews throws light on the traceability in the Supply Chain Management (SCM) shows the lack of interoperability and flexibility in data management systems hinders the work of traceability. And it introduces the importance and complexity of multimodal transport operations. To ensure effective traceability all along this chain, we relied on the agent paradigm and the ontology which facilitate the integration of goods data in order to exploit and reuse. Indeed, to ensure communication and interoperability of these data we relied on Multi-Agent Systems, due to their characteristics of autonomy, sociability and responsiveness that are generally associated. The Multi-Agent Systems can build flexible systems whose behaviors are complex and complicated due to the combination of different types of agents. With a focus on the importance of the concept of the traceability, the objective of this work is to propose an intelligent system for the traceability of containerized goods in the context of multimodal transport: Intelligent Traceability System of Containerized Goods (i-TSCG).

Select Reliable Strategy in Multi-Agent Systems Using Fuzzy Logic-Based Fusion

2008 ◽  
Author(s):  
Amin Ramezani ◽  
Mohamad Reza Andalibizadeh ◽  
Soheil Bahrampour ◽  
Hamed Ramezani ◽  
Behzad Moshiri
Keyword(s):  
Fuzzy Logic ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Multi-Agent System Overview: Architectural Designing using Practical Approach

2013 ◽  
Vol 5 (2) ◽  
pp. 85-93 ◽  
Author(s):  
Mohamed Osama Khozium
Keyword(s):  
Board Of Directors ◽  
Intelligent System ◽  
Online Communication ◽  
Board Members ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Agent Systems ◽  
Multi Agent ◽  
Real Challenge

A software agent should be autonomous, flexible, robust and social. The increasing importance of the Multi-Agent System (MAS) has led to the greater availability of tools designed to facilitate their creation and use. To devise agents is considered a real challenge which faces analysts and designers during development of any multi-agent systems. This paper proposes a methodology to determine, clarify and differentiate among agents during development of multi-agent systems using goals and functionalities grouping approach. A step by step case of study is presented to explain the proposed methodology for the creation of an Online Intelligent System (OIS) for Board of Directors guide using Multi-Agent System to facilitate online communication between the board members and their president to monitor the policies and productivity of the company.

scholarly journals A multi-agent environment in robotics

Robotica ◽  
1991 ◽  
Vol 9 (4) ◽  
pp. 431-440 ◽  
Author(s):  
Eugénio Oliveira ◽  
R. Camacho ◽  
C. Ramos
Keyword(s):  
Intelligent System ◽  
Multi Agent Systems ◽  
World Model ◽  
Agent Systems ◽  
Distributed Ai ◽  
Input Queue ◽  
Cooperative Agents ◽  
Software Modules ◽  
Multi Agent ◽  
Self Knowledge

SUMMARYThe use of Multi-Agent Systems as a Distributed AI paradigm for Robotics is the principal aim of our present work. In this paper we consider the needed concepts and a suitable architecture for a set of Agents in order to make it possible for them to cooperate in solving non-trivial tasks.Agents are sets of different software modules, each one implementing a function required for cooperation. A Monitor, an Acquaintance and Self-knowledge Modules, an Agenda and an Input queue, on the top of each Intelligent System, are fundamental modules that guarantee the process of cooperation, while the overall aim is devoted to the community of cooperative Agents. These Agents, which our testbed concerns, include Vision, Planner, World Model and the Robot itself.

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