Interactive Learning of Expert Criteria for Rescue Simulations
نویسندگان
چکیده
The goal of our work is building a DSS (Decision Support System) for resource allocation and planning in the situations of natural disasters emergencies in urban areas such as Hanoi in Vietnam. A first step has been to conceive Multi-agent environment that supports simulation of disasters taking into account geospatial, temporal and rescue organizational information. The problem we address is the acquisition of situated expert knowledge that is used to organize rescue missions. We propose an approach based on participatory techniques, interactive learning and machine learning. 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 scenario.
منابع مشابه
Interactive Learning of Independent Experts' Criteria for Rescue Simulations
Efficient response to natural disasters has an increasingly important role in limiting the toll on human life and property. The work we have undertaken seeks to improve existing models by building a Decision Support System (DSS) of resource allocation and planning for natural disaster emergencies in urban areas. A multi-agent environment is used to simulate disaster response activities, taking ...
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