Algorithms to Live By: The Computer Science of Human Decisions Condition:Good He argues persuasively that curricula

He argues persuasively that curricula should he designed to foster such early intuitions and then build on them in increasingly formal and abstract ways as education progresses

with descriptions of their key characteristics—construction

I had yet to see someone describe self-improvement through the elimination of existing behaviors rather than the creation of new ones―what a simple

He examines poetry's greatest haters (beginning with Plato's famous claim that an ideal city had no place for poets

from the eighteenth century and the very first novels to the beginning of the First World War

Algorithms to Live By: The Computer Science of Human Decisions Condition:Good He argues persuasively that curriculaWhat should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions theyve found have much to teach us. In a dazzlingly interdisciplinary work, Brian