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Computability and Unsolvability.

Computer: A History of the Information Machine

This chapter contains sections titled: Introduction The two-State Universal Turing Machine Impossibility of a One-State Universal Turing Machine Modeling a Turing Machine with Only Two Tape Symbols

A Universal Turing Machine with Two Internal States

. Over its short disciplinary history, computing has seen a stunning number of descriptions of the field’s characteristic ways of thinking and practicing, under a large number of differ - ent labels. One of the more recent variants, notably in the context of K-12 education, is “compu-tational thinking”, which became popular in the early 2000s, and which has given rise to many competing views of the essential character of CT. This article analyzes CT from the perspective of computing’s disciplinary ways of thinking and practicing, as expressed in writings of com - puting’s pioneers. The article describes six windows into CT from a computing perspective: its intellectual origins and justification, its aims, and the central concepts, techniques, and ways of thinking in CT that arise from those different origins. The article also presents a way of analyzing CT over different dimensions, such as in terms of breadth vs. depth, specialization vs. generaliza - tion, and in terms of skill progression from beginner to expert. Those different views have differ - ent aims, theoretical references, conceptual frameworks, and origin stories, and they justify their intellectual essence in different ways.

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Computational Thinking: A Disciplinary Perspective

In the popular imagination, the relevance of Turing's theoretical ideas to people producing actual machines was significant and appreciated by everybody involved in computing from the moment he published his 1936 paper ‘On Computable Numbers’. Careful historians are aware that this popular conception is deeply misleading. We know from previous work by Campbell-Kelly, Aspray, Akera, Olley, Priestley, Daylight, Mounier-Kuhn, Haigh, and others that several computing pioneers, including Aiken, Eckert, Mauchly, and Zuse, did not depend on (let alone were they aware of) Turing's 1936 universal-machine concept. Furthermore, it is not clear whether any substance in von Neumann's celebrated 1945 ‘First Draft Report on the EDVAC’ is influenced in any identifiable way by Turing's work. This raises the questions: (i) When does Turing enter the field? (ii) Why did the Association for Computing Machinery (ACM) honor Turing by associating his name to ACM's most prestigious award, the Turing Award? Previous authors have ...

/pdf/towards-a-historical-notion-of-turing-the-father-of-computer-371yvqpoh1.pdf

Towards a Historical Notion of ‘Turing—the Father of Computer Science’

Did Alan Turing play a major role in the advent of the all-purpose computer? Did Turing Award winners, like Edsger W. Dijkstra, depend on his famous accomplishments? In his well-researched book The Dawn of Software Engineering: from Turing to Dijkstra, Edgar G. Daylight deromanticizes Turing's & logic's role in the history of computing. Dijkstra's pioneering work in compilers lies at the heart of modern-day computers. The book vividly describes how & why Dijkstra's ideas stood out among those of his contemporaries. This book includes interviews with Turing Award winners Tony Hoare, Niklaus Wirth, Peter Naur, and Barbara Liskov. The Dawn of Software Engineering is a rich and fascinating account of the time when software engineering was a compelling intellectual discipline at the center of computer science. John C. Reynolds, CMU wonderfully novel, very readable, and most engaging Grady Booch, IBM Fellow a very deserving contribution to understanding the influence of fundamental results of science onto practice Manfred Broy, TUM

The Dawn of Software Engineering: from Turing to Dijkstra

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The Dawn of Software Engineering: from Turing to Dijkstra