To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...
Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...
For years, creativity and intuition have been held up as the twin engines of marketing. And while they’re still essential, ...
In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...
Tech Xplore on MSN
As AI grows smarter, it may also become increasingly selfish
New research from Carnegie Mellon University's School of Computer Science shows that the smarter the artificial intelligence ...
Inspired by tensions between health and financial well-being during the COVID-19 pandemic, a new model could significantly ...
Business Intelligence | From W.D. Strategies on MSN
What CEOs Can Learn from Airline Pilots About Decision Fatigue
Pilots and CEOs both face high-stakes decisions throughout their workday, yet the aviation industry has developed ...
4th down decision making is, in general, a proxy for a football coach’s overall aggressiveness. In today’s NFL, it is the one ...
Why do people make short-term decisions that may not be in their long-term interest? An October 22-25 working group takes ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today's fast-paced digital economy, corporate decision-making is undergoing a seismic ...
The rapid growth of digital technologies in the last quarter-century has multiplied the number and types of possible influences on individual values and opinions. Has the digital era changed the level ...
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