Title :
Dynamic Data Driven Multi-Agent Simulation
Author :
Pereira, Gary M.
Author_Institution :
San Jose State Univ., San Jose
Abstract :
Networks of sensors and simulation models of the physical environment have been implemented separately, often using agent-based methodologies. Some work has been done in providing real-time integration of sensors and models. Given the distributed nature of geospatial processes, the use of software agents for representation, communication, and analysis seems to be a reasonable basis for such integration. An agent-based system that senses the actual presence of mobile organisms in a spatial environment and simultaneously represents simulated organisms individually in a model of that environment is described here.
Keywords :
digital simulation; mobile agents; sensor fusion; agent-based methodologies; agent-based system; dynamic data driven; geospatial processes; mobile organisms; multiagent simulation; real-time integration; sensor networks; simulation models; software agents; spatial environment; Biological system modeling; Communication system control; Intelligent sensors; Mobile communication; Organisms; Process control; Remote sensing; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
Conference_Titel :
Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3027-7
DOI :
10.1109/IAT.2007.90