Using multi-agent system with publish/subscribe model in a mobile framework for capturing social network users' behaviour

2012 ◽  
Author(s):  
I.A. Abiodun ◽  
Cheng Wai Khuen
Keyword(s):  
Social Network ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Blockchain and multi-agent system for meme discovery and prediction in social network

2021 ◽  
pp. 107368
Author(s):  
Fan Yang ◽  
Yanan Qiao ◽  
Shan Wang ◽  
Cheng Huang ◽  
Xiao Wang
Keyword(s):  
Social Network ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals An Interaction Approach Between Services for Extracting Relevant Data From Tweets Corpora

10.29007/4tbj ◽  
2018 ◽  
Author(s):  
Mehdy Dref ◽  
Anna Pappa
Keyword(s):  
Social Network ◽  
Software Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Web Resources ◽  
Multi Agent ◽  
Interaction Approach ◽  
The Web

We present a system based on the need of special infrastructure adequate to software agents to operate, to compose and make sense from the contents of the Web resources through the development of a multi-agent system oriented services interactions. Our method follows the different construction ontology techniques and updates them by extracting new terms and integrate them to the ontology.It is based on the detection phrases via the ontological database DBPedia. The system treats each syntagme extracted from the corpus of messages and verifies whether it is possible to associate them directly to a DBPedia knowledge. In case of failure, these service agents interact with each other in order to find the best possible answer to the problem, by operating directly in the phrase, trying to semantically modify it, until the association with ontological knowledge becomes possible. The advantage of our approach is its modularity : it is both possible to add / modify / delete a service or define a new one, and then influence the outcome product. We could compare the results extracted from a heterogeneous body of messages from the Twitter social network with Tagme method, based mainly on storage and annotation of encyclopaedic corpus.

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.

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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