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Introduction: Need for Interval and Fuzzy Techniques in Math and Science Education Read chapter Read first chapter

2018 | OriginalPaper | Chapter

19. How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study

Authors : Olga Kosheleva, Karen Villaverde

Published in: How Interval and Fuzzy Techniques Can Improve Teaching

Publisher: Springer Berlin Heidelberg

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Abstract

In many application areas, there is a need for inter-disciplinary collaboration and education. However, such education and collaboration are not easy. On the example of our participation in a cyberinfrastructure project, we show that many obstacles on the path to successful collaboration and education can be overcome if we take into account that each person’s knowledge of a statement is often a matter of degree – and that we can therefore use appropriate degree-based ideas and techniques.

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Metadata
Title
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study
Authors
Olga Kosheleva
Karen Villaverde
Copyright Year
2018
Publisher
Springer Berlin Heidelberg
Book
How Interval and Fuzzy Techniques Can Improve Teaching

Print ISBN: 978-3-662-55991-8

Electronic ISBN: 978-3-662-55993-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-662-55993-2_19

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