How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study
Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
University of Texas at El Paso, El Paso, TX 79968, USA
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 of degree – and that we can therefore use appropriate degree-based ideas and techniques.
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