The Advent Of The Algorithm


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The Advent of the Algorithm


The Advent of the Algorithm

Author: David Berlinski

language: en

Publisher: Houghton Mifflin Harcourt

Release Date: 2001


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An exploration of the discovery and far reaching effects of the algorithm especially as it relates to the computerized world.

The Advent of the Algorithm


The Advent of the Algorithm

Author: David Berlinski

language: en

Publisher:

Release Date: 2000-11-01


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The calculus, which Berlinski explained in his enormously successful book, "A Tour of the Calculus", is the idea that made modern science possible. The algorithm, which Berlinski discusses here, is the idea of an effective procedure that has made the modern world possible. Here is the story of the search for and eventual discovery of the algorithm, the set of instructions that drives computers. The algorithm was discovered by a succession of logicians and mathematicians working alone and in obscurity during the first half of the 20th century. Their story makes this the book of Genesis for the computer revolution. "A playful, witty, highly literate effort to guide the mathematically uninitiated through the mysteries of the calculus." Illustrated.

What Algorithms Want


What Algorithms Want

Author: Ed Finn

language: en

Publisher: MIT Press

Release Date: 2018-10-09


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The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.