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What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, attentional, and configural mechanisms are also needed to improve this function. Timing mechanisms allow us to determine when those events will take place. Attentional mechanisms ensure that we keep track to cues that are present when unexpected events occur and disregard cues present when everything happens according to our expectation. Configural mechanisms make it possible to combine separate cues into one signal that predicts an event different from that predicted individually by separate cues. Writing for graduates and researchers in neuroscience, computer science, biomedical engineering, and psychology, the author presents neural network models that incorporate these mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning.
This book reveals and presents the root-causes that lead to varying improvement performances across different locations of a global positioned manufacturing organization. Conducting a multiple case study analysis of manufacturing sites around the world, the author found that the quality of the strategy deployment process is vital, especially when it is clear to all affected employees-a situation we refer to as strategy cascading. But having a sound strategy cascading alone is not enough. The author worked out that a company, which achieves to align its sound strategy cascading with the company context and leadership style of its top-management team, is likely to realize more operations improvements than do companies that missed to do so. ai
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