The activities of search and rescue of victims in large-scale disasters are very relevant social problems, and from a scientific viewpoint raise many different technical problems in the fields; of artificial intelligence, robotics and multi agent systems. In this paper we describe the development of a multi agent system based on the RoboCup Rescue simulator to allow monitoring and decision support, that are needed in a rescue operation. Two significant accomplishments are reported in this paper: the first is a framework for Cognitive Agent Development that provides for the capabilities of information fusion, planning and coordination; the second one is a methodology for evaluation of multi-agent systems in this scenario that aims at measuring not only the efficiency of a system, but also its robustness when conditions in the environment change.
Design and evaluation of multi agent systems for rescue operations / Farinelli, Alessandro; Grisetti, Giorgio; Iocchi, Luca; LO CASCIO, Sergio; Nardi, Daniele. - 4:(2003), pp. 3138-3143. (Intervento presentato al convegno IEEE/RSJ International Conference on Intelligent Robots and Systems tenutosi a LAS VEGAS, NV) [10.1109/iros.2003.1249639].
Design and evaluation of multi agent systems for rescue operations
FARINELLI, ALESSANDRO;GRISETTI, GIORGIO;IOCCHI, Luca;LO CASCIO, Sergio;NARDI, Daniele
2003
Abstract
The activities of search and rescue of victims in large-scale disasters are very relevant social problems, and from a scientific viewpoint raise many different technical problems in the fields; of artificial intelligence, robotics and multi agent systems. In this paper we describe the development of a multi agent system based on the RoboCup Rescue simulator to allow monitoring and decision support, that are needed in a rescue operation. Two significant accomplishments are reported in this paper: the first is a framework for Cognitive Agent Development that provides for the capabilities of information fusion, planning and coordination; the second one is a methodology for evaluation of multi-agent systems in this scenario that aims at measuring not only the efficiency of a system, but also its robustness when conditions in the environment change.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
