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ISCRAM2009 Track: Intelligent Systems

Intelligent Systems

Click here to download the Track Call for Papers in PDF format (163KB)

Track co-chairs:

Frank Fiedrich, Institute for Crisis, Disaster, and Risk Management, The George Washington University, Washington, DC, USA
Gerhard Wickler, Artificial Intelligence Applications Institute, University of Edinburgh,Edinburgh, Scotland
Julie Dugdale, MAGMA-LIG. Multi-agent systems group, Grenoble Informatics Laboratory, Grenoble, France

Track introduction:

In recent years the international community has responded to an increasing number of diverse emergency and crisis situations. Providing adequate information management and decision making support makes exacting demands on the design of computer systems. Acquiring, filtering, organizing, representing, reasoning with and distributing relevant information to the right stakeholders at the right time and in the right format is a challenging task. Intelligent systems provide a way of managing this complexity reducing the cognitive workload of personnel and helping to manage the emergency in the most efficient and effective way possible. The goal is to enhance the emergency management capacity of the international community by finding intelligent technological solutions to support crucial areas such as decision-making, information management and coordination. Techniques from artificial intelligence and a sound understanding of cognitive science may be employed to develop robust and adaptable information management and decision support systems.

Intelligent systems can reason, perceive, learn and act intelligently and have pro-active, reactive, autonomous and / or social components. Intelligent systems need to be proactive by taking the initiative and trying to achieve their explicit goals, they need to be reactive to quickly adapt to changes in the environment, and they need to be social by communicating with other intelligent systems including teams of people, robots, sensors, actuators and web-services in an ad-hoc fashion. Autonomous components may perform mundane tasks on behalf of their users without the need for constant human intervention. Such intelligent systems have the potential to ease the cognitive load on crisis managers in the high-tempo, high-stake situations that emergency response environments usually constitute.

Suggested topics:

- Cognitive systems
- Intelligent agents and agent based systems
- Distributed problem solving
- Intelligent web based applications
- Intelligent user interfaces
- Adaptive and self organizing systems
- Machine learning
- Knowledge representation, discovery and reasoning
- Planning and scheduling
- Group decision making
- Social intelligence
- Intelligent training systems
- Automatic negotiation of trust
- Simulation
- Knowledge based systems
 

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