"What algorithms want" - Information and Links:

What algorithms want - Info and Reading Options

imagination in the age of computing

"What algorithms want" was published by MIT Press in 2017 - mau, it has 257 pages and the language of the book is English.


“What algorithms want” Metadata:

  • Title: What algorithms want
  • Author:
  • Language: English
  • Number of Pages: 257
  • Publisher: MIT Press
  • Publish Date:
  • Publish Location: mau

“What algorithms want” Subjects and Themes:

Edition Specifications:

  • Pagination: viii, 257 pages

Edition Identifiers:

AI-generated Review of “What algorithms want”:


"What algorithms want" Table Of Contents:

  • 1- Acknowledgements
  • 2- Introduction
  • 3- What is an algorithm?
  • 4- Building the star trek computer
  • 5- House of cards: the aesthetics of abstraction
  • 6- Coding cow clicker: the work of algorithms
  • 7- Counting bitcoin
  • 8- Coda: the algorithmic imagination
  • 9- Notes
  • 10- Figure credits
  • 11- Works cited
  • 12- Index.

"What algorithms want" Description:

The Open Library:

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.--Publisher website.

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