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How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study
Author(s) -
Paulo Pinheiro da Silva,
A. A. Velasco,
Olga Kosheleva,
Владик Крейнович
Publication year - 2010
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2010.p0700
Subject(s) - cyberinfrastructure , computer science , statement (logic) , discipline , path (computing) , degree (music) , data science , knowledge management , engineering ethics , sociology , epistemology , social science , engineering , philosophy , physics , acoustics , programming language
In many application areas, there is a need for inter-disciplinary 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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