A Framework Based on Multi-agent Systems for Information Retrieval Through Mobile Devices

Author(s):  
Angela Carrillo Ramos ◽  
Jérôme Gensel ◽  
Marlène Villanova-Oliver ◽  
Hervé Martin
Author(s):  
Tarek Ben Mena ◽  
Narjès Bellamine-Ben Saoud ◽  
Mohamed Ben Ahmed ◽  
Bernard Pavard

This chapter aims to define context notion for multi-agent systems (MAS). Starting from the state of the art on context in different disciplines, we present context as a generic and abstract notion. We argue that context depends on three characteristics: domain, entity, and problem. By specifying this definition with MAS, we initially consider context from an extensional point of view as three components—actant, role, and situation—and then from an intensional one, which represents the context model for agents in MAS which consist of information on environment, other objects, agents, and relations between them. Therefore, we underline a new way of representing agent knowledge, building context on this knowledge, and using it. Furthermore, we prove the applicability of contextual agent solution for other research fields, particularly in personalized information retrieval by taking into account as agents: crawlers and as objects: documents.


2001 ◽  
Vol 16 (3) ◽  
pp. 277-284 ◽  
Author(s):  
EDUARDO ALONSO ◽  
MARK D'INVERNO ◽  
DANIEL KUDENKO ◽  
MICHAEL LUCK ◽  
JASON NOBLE

In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as software programs or robots, and their interaction and coordination in such diverse areas as robotics (Kitano et al., 1997), information retrieval and management (Klusch, 1999), and simulation (Gilbert & Conte, 1995). When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify an agent behaviour optimally in advance. Agents therefore have to learn from, and adapt to, their environment, especially in a multi-agent setting.


Author(s):  
Alese Boniface Kayode ◽  
Adewale Olumide Sunday ◽  
Alowolodu Olufunso Dayo ◽  
Adekunle Adewale Uthman

Various cases of leakage of sensitive files such as confidential report and privacy documents of customers and staff have been reported mistakenly sent via email, leaked through unprotected USB Sticks and mobile devices. Multi-agent systems have experienced growing acceptance and importance as distributed systems become more widespread. The most common issues of this system are security in term of vulnerability of documents. This research address the security issues of a multi-agent in a distributed environment providing a data leakage prevention model that effectively control data leakage, data loss and data theft from an insider.


Author(s):  
J. Bradley

This article will focus on the current state of the art in the deployment of multi-agent systems on mobile devices and smart phones. A number of platforms will be described, along with some practical issues concerning the deployment of agents in mobile applications.


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