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JACIII Vol.14 No.6 pp. 700-707
doi: 10.20965/jaciii.2010.p0700
(2010)

Paper:

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

Received:
February 10, 2010
Accepted:
April 10, 2010
Published:
September 20, 2010
Keywords:
inter-disciplinary collaboration, degree of expertise, cyberinfrastructure
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 of degree – and that we can therefore use appropriate degree-based ideas and techniques.

Cite this article as:
Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich, “How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study,” J. Adv. Comput. Intell. Intell. Inform., Vol.14, No.6, pp. 700-707, 2010.
Data files:
References
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