The first step has been to conceive a multi-agent environment that supports simulation of disasters, taking into account geospatial, temporal and rescue ...

The goal of our work is to build a DSS (Decision Support System) to support resource allocation and planning for natural disaster emergencies in urban areas ...

We propose an approach based on participatory techniques, interactive learning and machine learning. This paper presents an algorithm that incrementally builds ...

The team effort in this direction has resulted in a new multi- agent based disaster simulation framework, able to model and simulate catastrophic scenarios [ ...

This paper presents an algorithm that incrementally builds a model of the expert knowledge by online analysis of its interaction with the simulator's proposed ...

A multi-agent environment is used to simulate disaster response activities, taking into account geospatial, temporal and rescue organizational information. The ...

A multi-agent environment is used to simulate disaster response activities, taking into account geospatial, temporal and rescue organizational information. The ...

A multi-agent environment is used to simulate disaster response activities, taking into account geospatial, temporal and rescue organizational information. The ...

This work proposes an approach based on participatory design and interactive learning which incrementally elicits experts' preferences by online analysis of ...

We propose an approach based on participatory techniques, in- teractive learning and machine learning. This paper presents an algorithm that incrementally ...