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Writing Futures: Collaborative, Algorithmic, Autonomous (Hardcover, 1st ed. 2021) Loot Price: R2,789
Discovery Miles 27 890
Writing Futures: Collaborative, Algorithmic, Autonomous (Hardcover, 1st ed. 2021): Ann Hill Duin, Isabel Pedersen

Writing Futures: Collaborative, Algorithmic, Autonomous (Hardcover, 1st ed. 2021)

Ann Hill Duin, Isabel Pedersen

Series: Studies in Computational Intelligence, 969

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Loot Price R2,789 Discovery Miles 27 890 | Repayment Terms: R261 pm x 12*

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This book is useful to understand and write alongside non-human agents, examine the impact of algorithms and AI on writing, and accommodate relationships with autonomous agents. This ground-breaking future-driven framework prepares scholars and practitioners to investigate and plan for the social, digital literacy, and civic implications arising from emerging technologies. This book prepares researchers, students, practitioners, and citizens to work with AI writers, virtual humans, and social robots. This book explores prompts to envision how fields and professions will change. The book's unique integration with Fabric of Digital Life, a database and structured content repository for conducting social and cultural analysis of emerging technologies, provides concrete examples throughout. Readers gain imperative direction for collaborative, algorithmic, and autonomous writing futures.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 969
Release date: June 2021
First published: 2021
Authors: Ann Hill Duin • Isabel Pedersen
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 162
Edition: 1st ed. 2021
ISBN-13: 978-3-03-070927-3
Categories: Books > Science & Mathematics > Science: general issues > Impact of science & technology on society
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-070927-2
Barcode: 9783030709273

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