
Artificial Intelligence Research
First Southern African Conference for AI Research, SACAIR 2020, Muldersdrift, South Africa, February 22-26, 2021, Proceedings
Aurona Gerber(Editor)
Springer (Publisher)
Published on 21. December 2020
Book
Paperback/Softback
XVI, 311 pages
978-3-030-66150-2 (ISBN)
Description
This book constitutes the refereed proceedings of the First Southern African Conference on Artificial Intelligence Research, SACAIR 2020, held in Muldersdrift, South Africa, in February 2021. Due to the COVID-19 pandemic the SACAIR 2020 has been postponed to February 2021.
The 19 papers presented were thoroughly reviewed and selected from 53 submissions. They are organized on the topical sections on AI for ethics and society; AI in information systems, AI for development and social good; applications of AI; knowledge representation and reasoning; machine learning theory.
The 19 papers presented were thoroughly reviewed and selected from 53 submissions. They are organized on the topical sections on AI for ethics and society; AI in information systems, AI for development and social good; applications of AI; knowledge representation and reasoning; machine learning theory.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
62 farbige Abbildungen, 12 s/w Abbildungen
XVI, 311 p. 74 illus., 62 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-3-030-66150-2 (9783030661502)
DOI
10.1007/978-3-030-66151-9
Schweitzer Classification
Other editions
Additional editions

Aurona Gerber
Artificial Intelligence Research
First Southern African Conference for AI Research, SACAIR 2020, Muldersdrift, South Africa, February 22-26, 2021, Proceedings
E-Book
12/2020
Springer
€53.49
Available for download
Content
AI for Ethics and Society.- AI in Information Systems, AI for Development and Social Good.- Applications of AI.- Knowledge Representation and Reasoning.- Machine Learning Theory.