Penn State researchers have developed new software that can help decision-making teams in combat situations or homeland security handle information overload by inferring teams information needs and delivering relevant data from computer-generated reports.
The agent software called CAST (Collaborative Agents for Simulating Teamwork) highlights relevant data. This helps improve a teams decision-making process as well as enhances members collaboration.
"This version of CAST provides support for teams by anticipating what information team members will need, finding commonalities in the available information and determining how that information should be processed," said John Yen, professor of information sciences and technology. "Decision making is made easier because the software offers only relevant data."
CAST was originally developed by a team of researchers at Texas A&M where Yen was a key figure. Now a faculty member in Penn States School of Information Sciences and Technology (IST), Yen heads the Research Laboratory for Team-based Agents at the University while continuing to collaborate with Richard Volz and Michael Miller, from Texas A&M, on the software.
Margaret Hopkins | EurekAlert!
Fingerprints of quantum entanglement
16.02.2018 | University of Vienna
Simple in the Cloud: The digitalization of brownfield systems made easy
07.02.2018 | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.
But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...
Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.
The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...
Theoretical physicists propose to use negative interference to control heat flow in quantum devices. Study published in Physical Review Letters
Quantum computer parts are sensitive and need to be cooled to very low temperatures. Their tiny size makes them particularly susceptible to a temperature...
Let’s say the armrest is broken in your vintage car. As things stand, you would need a lot of luck and persistence to find the right spare part. But in the world of Industrie 4.0 and production with batch sizes of one, you can simply scan the armrest and print it out. This is made possible by the first ever 3D scanner capable of working autonomously and in real time. The autonomous scanning system will be on display at the Hannover Messe Preview on February 6 and at the Hannover Messe proper from April 23 to 27, 2018 (Hall 6, Booth A30).
Part of the charm of vintage cars is that they stopped making them long ago, so it is special when you do see one out on the roads. If something breaks or...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
16.02.2018 | Information Technology
16.02.2018 | Health and Medicine
16.02.2018 | Physics and Astronomy