How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study
Paulo Pinheiro da Silva, Aaron A. Velasco, Olga M. Kosheleva, Владик Крейнович · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2010
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.