Probably, if you bought this book, you are someone who knows about Alan Turing’s ideas more than I. It is a very popular concept in computing and for good reason. Turing’s original example has been applied in countless variations, in countless disciplines over the years. But what the Turing Machine, from 1936, refers to is a proposed concept (never actually built), where a computer could use feedback with a conditional assessment function to “learn”. Almost all computer learning is based on this idea in some way.
Published in Chapter:
Technological Social-ism
Judson Wright (Pump Orgin Computer Artist, USA)
Copyright: © 2009
|Pages: 32
DOI: 10.4018/978-1-60566-352-4.ch020
Abstract
Culture is a byproduct of our brains. Moreover, we’ll look at ways culture also employs ritual (from shamanistic practices to grocery shopping) to shape neural paths, and thus shape our brains. Music has a definite (well researched) role in this feedback loop. The ear learns how to discern music from noise in the very immediate context of the environment. This serves more than entertainment purposes however. At a glance, we often can discern visual noise from images, nonsense from words. The dynamics are hardly unique to audial compositions. There are many kinds of compositional rules that apply to all of the senses and well beyond. The brain develops these rule sets specific to the needs of the culture and in order to maintain it. These rules, rarely articulated, are stored in the form of icons, a somewhat abstracted, context-less abbreviation open to wide interpretation. It may seem somewhat amazing we can come up with compatible rules, by reading these icons from our unique personal perspectives. And often we don’t, as we each have differing tastes and opinions. However, “drawing from the same well” defines abstract groupings, to which we choose to subscribe. We both subscribe to and influence which rule-sets we use to filter our perceptions and conclusions. But the way we (often unconsciously) choose is far more elusive and subtle.