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E-raamat: Introduction to Communication and Artificial Intelligence

(Northern Illinois University)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 07-Jan-2020
  • Kirjastus: Polity Press
  • Keel: eng
  • ISBN-13: 9781509533190
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 07-Jan-2020
  • Kirjastus: Polity Press
  • Keel: eng
  • ISBN-13: 9781509533190

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Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way.

This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans.

The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.

Arvustused

Gunkels book is an accessible but technically savvy monograph introducing students and scholars of communication and computer science to the intersections between AI and communication.  Gunkels book will also be a particularly useful resource to instructors, not only due to its accessible language and wide- reaching scope, but also thanks to the five Maker exercises included in the last section. These provide useful entry points for students that are not versed in computer programming for experimenting with simple computer programs. Communication Theory An introduction to communication and artificial intelligence aims and succeeds in making sense of AI for students and scholars in social sciences. Communications

Preface ix
Figures xiii
Abbreviations xvii
Part I: Introduction and Orientation
1 Introduction
3(28)
1.1 Artificial Intelligence
4(8)
1.2 Robot
12(2)
1.3 Why Words Matter
14(6)
1.4 Overview of the Book
20(11)
2 Communication and Al
31(30)
2.1 Communication and Machine Intelligence
32(12)
2.2 Machine Intelligence and Communication Studies
44(12)
2.3 Paradigm Shift
56(3)
2.4 Conclusion/Summary
59(2)
3 Basic Concepts and Terminology
61(36)
3.1 Algorithm
62(6)
3.2 Competing Methods
68(7)
3.3 How Things Work
75(13)
3.4 A Pair of Terminological Pairs
88(9)
Part II: Applications
4 Machine Translation
97(38)
4.1 Historical Context
98(11)
4.2 Machine Translation: Techniques and Technologies
109(22)
4.3 Return to Babel
131(4)
5 Natural Language Processing
135(30)
5.1 Chatbots
136(6)
5.2 Spoken Dialogue Systems
142(12)
5.3 NLP and Communication Studies
154(7)
5.4 Limitations and Future Opportunities
161(4)
6 Computational Creativity
165(34)
6.1 Games
166(8)
6.2 Natural Language Generation
174(10)
6.3 Recombinant Art
184(7)
6.4 Other Approaches and Innovations
191(2)
6.5 But Is It Art?
193(6)
7 Social Robots
199(32)
7.1 Social Robots
200(6)
7.2 Embodiment and Morphology
206(7)
7.3 Technology and Technique
213(6)
7.4 Outcomes, Consequences, and Repercussions
219(12)
Part III: Impact and Consequences
8 Social Issues
231(25)
8.1 Technological Unemployment
232(10)
8.2 Gainfully Unemployed
242(6)
8.3 DIY Futures
248(5)
8.4 Technological Displacement
253(3)
9 Social Responsibility and Ethics
256(29)
9.1 Responsibility
257(6)
9.2 Technology Beyond Instrumentalism
263(7)
9.3 Responses to Responsibility Gaps
270(10)
9.4 Duty Now and For the Future
280
Part IV: Maker Exercises
Introduction
285(2)
Exercise 1: Demystifying ELIZA
287(7)
Exercise 2: Algorithms
294(10)
Exercise 3: Machine Translation
304(6)
Exercise 4: Chatbot and Quasi-Loebner Prize
310(8)
Exercise 5: Template NLG
318(7)
Notes 325(5)
References 330(23)
Index 353
David Gunkel is Professor of Media Studies at Northern Illinois University.