Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

Stochastic Approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. The most famous ...

The Reinforcement Theory, with its nuanced understanding of human behavior, offers leaders a structured approach to drive desired behaviors, invigorate teams, and sculpt an organizational culture that ...

Researchers have developed 'Dynamic Prospect Theory,' which integrates the most popular model in behavioral economics -- prospect theory and a well-established model from neuroscience -- reinforcement ...

Artificial intelligence (AI) researchers strive to advance machine intelligence by applying theories and concepts of human intelligence for learning, motivation, memory, reasoning, and more. There are ...

If you've ever wondered why some people succeed at learning new skills and knowledge while others fail to grasp basic concepts, you may want to find out more about learning theory. Theories of ...