IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Agent-Based Architecture for Virtual Environments for Training

An Agent-Based Architecture for Virtual Environments for Training
View Sample PDF
Author(s): Angélica de Antonio (Universidad Politecnica de Madrid, Spain), Jaime Ramirez (Universidad Politecnica de Madrid, Spain)and Gonzalo Mendez (Universidad Politecnica de Madrid, Spain)
Copyright: 2008
Pages: 16
Source title: Virtual Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Jerzy Kisielnicki (Warsaw University, Poland)
DOI: 10.4018/978-1-59904-955-7.ch022

Purchase

View An Agent-Based Architecture for Virtual Environments for Training on the publisher's website for pricing and purchasing information.

Abstract

This chapter proposes an architecture for the development of intelligent virtual environments for training (IVETs) which is based on a collection of cooperative software agents. The first level of the architecture is defined as an extension of the classical intelligent tutoring system architecture that adds a new world module. Several software agents are then identified within each module. They communicate among them directly via messages and indirectly via a common data structure that is used for the collaborative development of plans. Some details are provided about the most remarkable interactions that will be established among agents during the system’s execution. The proposed architecture, and its realization in a platform of generic and configurable agents, will facilitate the design and implementation of new IVETs, maximizing the reuse of existing components and the extensibility of the system to add new functionalities.

Related Content

Andi Asrifan, T. Syamsu, Eka Apriani, K. J. Vargheese, Rustam Efendy Rasyid, Mohammed H. Alaqad. © 2025. 30 pages.
S. Lakshmana Chari, Atul Singla, Q. Mohammed, G. Ananda Rao, Y Krishna Bargavi. © 2025. 18 pages.
D. Rajani, Amit Dutt, A. Abood, M. Mahenderreddy, E. Poornima. © 2025. 18 pages.
M. Siva Swetha Reddy, Ginni Nijhawan, K. Adnan, Muhammed Anaz Khan, Prasanna Lakshmi. © 2025. 14 pages.
Praven Kumar, Navdeep Singh, S. Ahmed, G Ananda Rao, Yalla Jeevan Nagendra Kumar. © 2025. 18 pages.
K. Laxmi Narayanamma, Amandeep Nagpal, K. Adnan, M. Mahenderreddy, K. Butchi Raju. © 2025. 18 pages.
K. Laxmi Narayanamma, C. Praveen Kumar, Navdeep Singh, S. Ahmed, Amrita Saha, P. Gopalakrishna. © 2025. 20 pages.
Body Bottom