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The essence of artificial intelligence / Luka Gray.

By: Material type: TextTextPublisher: New Delhi, India : Random Publications LLP, 2024Edition: First editionDescription: x, 264 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789357511032
Subject(s): DDC classification:
  • 006.3 G791e
LOC classification:
  • Q335
Contents:
Introduction -- Knowledge representation and inference -- Intelligent agents -- Knowledge, reasoning and planning -- Knowledge representation -- Intelligent learning.
Summary: "As artificial intelligence (AI) systems increasingly become more widespread in society, many people regularly interact with them as a normal part of their everyday lives. The increasing prevalence of and seeming familiarity with everyday applications that employ AI may, however, easily betray its complexity.AI is a complex, multifaceted concept and is therefore hard to define because AI can refer to technological artifacts, certain methods or a scientific field that is split into many subfields and that is continuously changing and evolving AI systems can therefore be seen as digital artifacts that require hardware and software components and that contain at least one learning or learned component, i.e., a component that is able to change the system's behavior based on presented data and the processing of this data. Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. This comprehensive book provides a concise and accessible introduction to the topic for students with no prior knowledge of AI." -- Back cover
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 006.3 G791e 2024 (Browse shelf(Opens below)) 1-1 Available 030675

Includes bibliographical references and index.

Introduction -- Knowledge representation and inference -- Intelligent agents -- Knowledge, reasoning and planning -- Knowledge representation -- Intelligent learning.

"As artificial intelligence (AI) systems increasingly become more widespread in society, many people regularly interact with them as a normal part of their everyday lives. The increasing prevalence of and seeming familiarity with everyday applications that employ AI may, however, easily betray its complexity.AI is a complex, multifaceted concept and is therefore hard to define because AI can refer to technological artifacts, certain methods or a scientific field that is split into many subfields and that is continuously changing and evolving AI systems can therefore be seen as digital artifacts that require hardware and software components and that contain at least one learning or learned component, i.e., a component that is able to change the system's behavior based on presented data and the processing of this data. Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. This comprehensive book provides a concise and accessible introduction to the topic for students with no prior knowledge of AI." -- Back cover

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