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.

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

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 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 ASSESSMENT OF CONSEQUENCES OF IMPLEMENTATION OF LARGE-SCALE INFRASTRUCTURE PROJECTS BASED ON THE AGENT APPROACH: TOPOLOGY OF THE MULTIAGENT SYSTEM

2019 ◽  
Vol 3 (1) ◽  
pp. 109-116
Author(s):  
Tatyana Yesikova ◽  
Svetlana Vakhrusheva
Keyword(s):  
Large Scale ◽  
Multiagent System ◽  
Road Construction ◽  
Simulation Method ◽  
Subject Area ◽  
Modeling Processes ◽  
Multi Agent System ◽  
Bering Strait ◽  
Agent System ◽  
Multi Agent

The article poses the problem of modeling processes associated with the construction of large-scale infrastructural projects in the context of the Bering Strait tunnel (road construction in the Far North). The purpose of the simulation is to identify potential problems and estimate losses for various participants in similar projects. The study is based on such a simulation method as multi-agent modeling. The article describes the basics of building the topology of a multi-agent system in relation to this task: decomposing a process into subprocesses, identifying the main active agents, describing of the characteristics (attributes) of these agents, determining the type of their interaction. The article also presents a graph that is the prototype of a multi-agent system for a specific subject area and a description of the interactions of the identified agents.

A LIGHTWEIGHT ONE-PASS AUTHENTICATION MECHANISM FOR AGENT COMMUNICATION IN MULTI-AGENT SYSTEM BASED APPLICATIONS

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Olumide Simeon Ogunnusi ◽  
Shukor Abd Razak ◽  
Abdul Hanan Abdullah
Keyword(s):  
Local Area Network ◽  
Local Area ◽  
Area Network ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Communication ◽  
Authentication Mechanism ◽  
Social Nature ◽  
The Social ◽  
Multi Agent

The social nature of mobile agent and its ability to carry its principal’s confidential information necessitate the need to secure its communication with other agent(s) in an agent system. Most importantly, an agent communication security mechanism must be able to prevent unknown or visiting agent from participating in legitimate agent communication. Most of such mechanisms adopt two-pass authentication technique without due consideration of the enormous overheads generated by the mechanisms. These overheads are more noticeable in multi-agent system based applications with large number of agents such as smart grid. The main focus of this paper therefore, is to design a lightweight mechanism for agent communication confidentiality protection in a local area network (LAN) or intranet using one-pass authentication approach. The proposed mechanism adopted both symmetric and asymmetric cryptosystems to protect agent certificate transmission between task agents and agent execution host. The results show that the memory utilization, communication and computation costs of the proposed mechanism are remarkably lower than that of the two-pass authentication based mechanisms.

Sign in / Sign up

Export Citation Format

Share Document