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- Second Age of Computer Science: From ALGOL Genes to Neural Nets, (Hardcover)
Second Age of Computer Science: From ALGOL Genes to Neural Nets, (Hardcover)
DJF 11678
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This book describes the evolution of computer science in this second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades.
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Détails du produit
- By the end of the 1960s, a new discipline named computer science had come into being. A new scientific paradigm--the 'computational paradigm'--was in place, suggesting that computer science had reached a certain level of maturity. Yet as a science it was still precociously young. New forces, some technological, some socio-economic, some cognitive impinged upon it, the outcome of which was that new kinds of computational problems arose over the next two decades. Indeed, by the beginning of the 1990's the structure of the computational paradigm looked markedly different in many important respects from how it was at the end of the 1960s. Author Subrata Dasgupta named the two decades from 1970 to 1990 as the second age of computer science to distinguish it from the preceding genesis of the science and the age of the Internet/World Wide Web that followed. This book describes the evolution of computer science in this second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades. Certain themes characteristic of this second age thread through this narrative: the desire for a genuine science of computing; the realization that computing is as much a human experience as it is a technological one; the search for a unified theory of intelligence spanning machines and mind; the desire to liberate the computational mind from the shackles of sequentiality; and, most ambitiously, a quest to subvert the very core of the computational paradigm itself. We see how the computer scientists of the second age address these desires and challenges, in what manner they succeed or fail and how, along the way, the shape of computational paradigm was altered. And to complete this history, the author asks and seeks to answer the question of how computer science shows evidence of progress over the course of its second age.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2018 |
| Pages | 360 |
| Reading level | General (US: Trade) |
| Edition | 1 |
| Publisher | Oxford University Press, USA |
| Original languages | English |
| Language | English |
| Binding type | Case Binding |
| Assembled product height | 9.4 in (23.9 cm) |
| Assembled product weight | 1.4 lb (640 grams) |
| Bisac subject heading | Computers |
À qui est-ce destiné ?
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Computer Science Students
Ideal for students seeking a historical context and thorough understanding of computer science evolution and important concepts.
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Tech Enthusiasts
Perfect for individuals passionate about technology who wish to explore the development of programming languages and AI.
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Researchers & Academics
Beneficial for researchers needing a comprehensive overview and analysis of computer science advancements and methodologies.
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Casual Readers
Not suitable for those looking for light reading, as the content is technical and academically inclined.
DESCRIPTION DU PRODUIT
Questions et réponses des clients
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question:
What topics does the book cover?
répondre: The book covers the evolution of computer science between 1970 and 1990, focusing on the computational paradigm and key themes that shaped the discipline. -
question:
Is this book suitable for beginners?
répondre: Yes, the book provides a comprehensive overview suitable for those new to computer science as well as seasoned professionals. -
question:
What is the publication date of this book?
répondre: The book was published on June 1, 2018.
Subrata Dasgupta All Books Editorial Review
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DJF 11678
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Caractéristiques et avantages
- Explore the transformative journey of computer science from 1970 to 1990.
- Gain insights into the development of the computational paradigm.
- Understand the intersection of technology, socio-economics, and cognitive shifts.
- Uncover the key themes: computing as a human experience and the quest for a unified theory of intelligence.
- Delve into how challenges were addressed and the paradigm was altered.
- Discover evidence of progress in computer science during its second age.
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