<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Suri, Dipa</style></author><author><style face="normal" font="default" size="100%">Howell, Adam</style></author><author><style face="normal" font="default" size="100%">Schmidt, Douglas C.</style></author><author><style face="normal" font="default" size="100%">Biswas, Gautam</style></author><author><style face="normal" font="default" size="100%">Kinnebrew, John S</style></author><author><style face="normal" font="default" size="100%">Otte, William R</style></author><author><style face="normal" font="default" size="100%">Shankaran, Nishanth</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Multi-Agent Architecture Provides Smart Sensing for the NASA Sensor Web</style></title><secondary-title><style face="normal" font="default" size="100%">The 2007 IEEE Aerospace Conference</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">decision making</style></keyword><keyword><style  face="normal" font="default" size="100%">dynamic decision making</style></keyword><keyword><style  face="normal" font="default" size="100%">Earth science</style></keyword><keyword><style  face="normal" font="default" size="100%">geophysical techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">intelligent sensors</style></keyword><keyword><style  face="normal" font="default" size="100%">interoperability</style></keyword><keyword><style  face="normal" font="default" size="100%">Lockheed Martin Advanced Technology Center</style></keyword><keyword><style  face="normal" font="default" size="100%">MACRO</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-agent systems</style></keyword><keyword><style  face="normal" font="default" size="100%">multiagent architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">NASA sensor Web</style></keyword><keyword><style  face="normal" font="default" size="100%">networked sensor webs</style></keyword><keyword><style  face="normal" font="default" size="100%">open systems</style></keyword><keyword><style  face="normal" font="default" size="100%">remote sensing</style></keyword><keyword><style  face="normal" font="default" size="100%">remote sensing missions</style></keyword><keyword><style  face="normal" font="default" size="100%">smart sensing</style></keyword><keyword><style  face="normal" font="default" size="100%">terrestrial sensors</style></keyword><keyword><style  face="normal" font="default" size="100%">weather forecasting</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2007</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/Suri et al - 2007 - IEEE Aerospace -- Multi-Agent Architecture for Smart Sensing in NASA Sensor Web.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Big Sky, Montana</style></pub-location><pages><style face="normal" font="default" size="100%">1 -9</style></pages><abstract><style face="normal" font="default" size="100%">Remote sensing missions for Earth Science contribute greatly to the understanding of the dynamics of our planet. Conventional approaches however, impede the scientific community's ability to (1) generate and refine models of complex phenomena, such as, extended weather forecasting, (2) detect and rapidly respond to critical transient events (e.g., disasters, such as hurricanes and floods). This paper describes a more effective approach based on intelligent, networked sensor webs that incorporate seamless dynamic connectivity between spacecraft, aircraft, and in situ terrestrial sensors, employs reactive and proactive strategies for improved temporal, spectral, and spatial coverage of the earth and its atmosphere, and uses enhanced dynamic decision-making for rapid responses to changing situations. MACRO, an extension of our earlier work on a multi-agent framework for heterogeneous spacecraft constellations, will provide interoperability and autonomy to achieve the needs for smart sensing in NASA's proposed sensor web. The system capability will be demonstrated via a simulated but salient disaster management scenario on an existing hardware testbed at the Lockheed Martin Advanced Technology Center.</style></abstract></record></records></xml>