Group items tagged

This is the first book to explore the cognitive science of effortless attention and action. Attention and action are generally understood to require effort, and the expectation is that under normal circumstances effort increases to meet rising demand. Sometimes, however, attention and action seem to flow effortlessly despite high demand. Effortless attention and action have been documented across a range of normal activities-ranging from rock climbing to chess playing-and yet fundamental questions about the cognitive science of effortlessness have gone largely unasked. This book draws from the disciplines of cognitive psychology, neurophysiology, behavioral psychology, genetics, philosophy, and cross-cultural studies. Starting from the premise that the phenomena of effortless attention and action provide an opportunity to test current models of attention and action, leading researchers from around the world examine topics including effort as a cognitive resource, the role of effort in decision-making, the neurophysiology of effortless attention and action, the role of automaticity in effortless action, expert performance in effortless action, and the neurophysiology and benefits of attentional training.

"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well."