Advanced Training System
for Emergency Management
The main objective of the A-TEAM project is to improve advanced technical training with a new
approach using an integration of artificial intelligence (AI) technologies and dynamic
simulation modeling to create fully interactive multi-media content within a real-time
knowledge-based system framework for the domain of emergency management applications.
The underlying client-server architecture supports easy access in Intranet/Internet distributed
systems so that the approach can be used in support of more traditional supervised classroom
teaching, structured distance learning, and learning-on-demand.
The basic approach is to extend an operational emergency management system, major
components of which have been developed in an ESPRIT HPCN project under framework 4
(HITERM 22723), into a training system by including didactic components into the same basic
logical framework of the interactive decision support tool.
The main innovative features of the proposed approach to advanced technical training
A realistic and immersive real-world experience provides a more effective learning
environment: through the use of a simulation based real-time emergency management
decision support system as the training framework: the system is the lecture, test, and
tutor at the same time.
Learning-by-doing under machine supervision: an embedded didactic model with
immediate feedback, error correction, and replay and post-mortem analysis
capabilities combined with classical explanatory material and background information
with multiple-choice tests.
Real-time monitoring of learner performance: any individual response can be used to
modify the presentation of content, add explanatory and in-depth material, start test
sequences whenever appropriate, and in general design and configure a training
environment that includes many of the essential features of an intelligent tutor in a
The integration of Artificial Intelligence methodology (knowledge based systems, expert
system, case-based reasoning, intelligent agents) and interactive simulation modeling
with specific didactic material. The use of AI components supports advanced
navigational features but also student monitoring and immediate feedback that go far
beyond the classical sequence of lecture units and subsequent tests.
Complex navigation: the linkage of problem representation and description at various
levels of aggregation and explanatory power, enabling the student to navigate from
simple empirical black-box components for fast and efficient situation control to fully
analytical step-by-step explanatory features with additional hyperlinked background
Real-time multimedia: the integration of classical computer based distance-learning
approaches (multimedia presentations with embedded tests) into a real-time
management scenario that requires decisions under stress in an action oriented real-
time virtual reality-training scenario.
The approach proposed for A-TEAM adds a new dimension of artificial intelligence to computer
based training systems. This moves the technology from a simple computer implementation of
textbooks and video taped lectures to a completely new level of interaction, dynamic
response, continuous evaluation, and a highly adaptive course delivery. Building an intelligent
tutor into the system that follows every step of the training process promises a new efficiency in
the delivery of technical training in complex domains.