"Intelligence is currently facing increasingly challenging cross-pressures from both a need for accurate and timely assessments of potential or imminent security threats and the unpredictability of many of these emerging threats. We are living in a social environment of growing …
Intelligence is currently facing increasingly challenging cross-pressures from both a need for accurate and timely assessments of potential or imminent security threats and the unpredictability of many of these emerging threats. The essence of intelligence is no longer the colle…
"Intelligence is currently facing increasingly challenging cross-pressures from both a need for accurate and timely assessments of potential or imminent security threats and the unpredictability of many of these emerging threats. We are living in a social environment of growing …
Intelligence is currently facing increasingly challenging cross-pressures from both a need for accurate and timely assessments of potential or imminent security threats and the unpredictability of many of these emerging threats. The essence of intelligence is no longer the colle…
How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge …
The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through…
