Background Uncertainty is defined as limited knowledge or lack of predictability about past, present or future events. The ...

(3) The model considers the effects of interactions among sub-areas in PFC on accelerating the learning process. (4) The proposed model can be easily applied to decision-making tasks in intelligent ...

Decision-making involves the selection of one out of many possible ... the main qualitative findings for both the decision and confidence kernels (Figure 3). The early influence of sensory evidence on ...

The book Thinking, Fast and Slow, by Daniel Kahneman, put forward the idea that we reason using not one but two systems, ...

A group of researchers led by Saudi Arabia's King Fahd University of Petroleum & Minerals (KFUPM) has developed a novel spatio-temporal decision-making model for the development of hybrid ...

Consolidating power can result in short-term benefits but the long-term costs can't be ignored. Smart leaders with strive for ...

Here, we pick three AI stocks, NVDA, AVGO and PLTR, which are well poised to benefit from AI's growing pervasiveness and huge ...

2 Shared decision-making (SDM) has been traditionally defined ... and as a way to promote high-value care.3 But anytime, a patient and clinician figure out together what to do about the patient’s ...

Tesla added $5,000 to the sticker price of the Model X, a move that many believe is meant to signal it's pulling the plug on ...

While technical in its scope, its implications extend far beyond developers and policymakers; it touches every user who ...

Weapon system providers have used AI for over three decades, with studies linking supervised learning models to autonomous decision-making.