Paper Info
Title
Automated planning and replanning in an intelligent virtual environments for training
Abstract
The application of Artificial Intelligence (AI) planning techniques to the development of Intelligent Tutoring Systems (ITS) has focused mainly on instructional planning, in settings where the initiative is taken primarily by the system. 3D Virtual Environments (VE) have emerged in the last years as a good means to apply a case-based training approach, placing a more active role on the student. Here AI planning turns out to be an interesting solution for the dynamic resolution of the problems (cases) that are posed to the student. These environments allow the students to navigate through and interact with a virtual representation. This paper describes MAEVIF, a platform for the development of intelligent virtual environments for training (IVETs) whose architecture is based on a collection of cooperative software agents. The role of AI planning in the teaching-learning approach followed by MAEVIF is described, with two main planning services: the generation of a plan as an ideal solution to the case, and the evaluation of the effect of the student's actions during their resolution of the case.
Year
DOI
Venue
2007
10.1007/978-3-540-74819-9_94
KES (1)
Keywords
Field
DocType
case-based training approach,teaching-learning approach,ideal solution,automated planning,main planning service,intelligent virtual environment,active role,dynamic resolution,instructional planning,ai planning,interesting solution,artificial intelligent,software agent,multi agent system
Architecture,Computer science,Virtual representation,Software agent,Ideal solution,Human–computer interaction,Artificial intelligence,Automated planning and scheduling
Conference
Volume
ISSN
Citations 
4692
0302-9743
2
PageRank 
References 
Authors
0.49
4
2
Name
Order
Citations
PageRank
Jaime Ramírez111416.36
Angélica de Antonio216127.23