Designing Multiagent-Based Education Systems for Navigation Training

Abstract

This paper describes how to design a multiagent-based education system for navigation training. The paper addresses several important issues in designing multiagent e-education systems, including the infrastructure for multiagent systems, the multiagent system specification using a chemical reaction metaphor, and the knowledge-based decision-making support for intelligent agents. The presented approach for designing multiagent-based systems is not only useful for education systems but also for other multiagent-based applications such as multirobotic systems.

How to make a distributed programming course a big fun

“…It aims at interacting with students and tracking their learning as they work through course materials and simulation exercises. The work in [2] proposes the usage of the MAS technology for navigation training. A Multiagent Architecture for Intelligent Tutoring Systems in Health education is presented in [3].…”

“…This article utilizes two technology pieces: Multi-agent systems and cloud computing in order to increase the level of students' satisfaction when learning the fundamentals of distributed applications. Several examples of the previous usage of the multi-agent systems in the context of education include [1], [2], [3], and [4]. Most of the use cases adopt MAS for enhancing e-learning platforms.…”

E-Learning Scenarios Using Intelligent Multiagent Systems

“…A number of researchers have applied agent technology to e-learning. Yang et al proposed to apply intelligent system to enhance navigation-training systems that consists of the client portion and server portion using JADE framework [1]. However, they focus on the intelligence of the agents themselves, rather than communications between agents.…”

Ultra-Personalization and Decentralization: The Potential of Multi-Agent Systems in Personal and Informal Learning

“…Furthermore, Yang et al [16] proposed to apply an intelligent system to enhance navigation-training systems that consists of the client portion and server portion using JADE framework. Like most work in this area, this paper focuses on the intelligence of individual agents themselves, rather than communications between agents.…”