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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Kosheleva, O., Villaverde, K. (2018). How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study. In: How Interval and Fuzzy Techniques Can Improve Teaching. Studies in Computational Intelligence, vol 750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55993-2_19
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DOI: https://doi.org/10.1007/978-3-662-55993-2_19
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