How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study-Reference-Cited by-同舟云学术

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

Published:2010-09-20 Issue:6 Volume:14 Page:700-707
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Silva Paulo Pinheiro da, ,Velasco Aaron,Kosheleva Olga,Kreinovich Vladik

Abstract

In many application areas, there is a need for interdisciplinary collaboration and education. However, such collaboration and education 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 ofdegree– and that we can therefore use appropriate degree-based ideas and techniques.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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