Academic Journal
Learning to diagnose by doing
| Τίτλος: | Learning to diagnose by doing |
|---|---|
| Συγγραφείς: | Jayant Kalagnanam, Eswaran Subrahmanian, Carnegie Mellon University.Engineering Design Research Center. |
| Έτος έκδοσης: | 2018 |
| Συλλογή: | KiltHub Research from Carnegie Mellon University |
| Θεματικοί όροι: | Electrical engineering not elsewhere classified, Digital processor architectures, Other information and computing sciences not elsewhere classified, Diagnosis Data processing, Computer programs, Computer engineering Data processing, Computer Engineering, Electrical and Electronic Engineering not elsewhere classified |
| Περιγραφή: | "This paper is a study on the process of evolution of a novice to an expert in a diagnostic context. In this paper, we have chosen an abstract example of a diagnostic problem. The results in this article are based on a longitudinal study of a single subject. The empirical base is a protocol of the subject as he solved this problem until he mastered the most sophisticated strategy. Based on an analysis of the protocol, we have identified four different strategies that were used by the subject to solve the given set of problems. These strategies vary in their efficiency of diagnosis and in their modes of reasoniing. We also identify the different operators that were used by the subject to transform one strategy into a more efficient one. The learning process has been implemented as a computer simulation. Finally, we discuss the hypotheses that are suggested by this experiment and the implications of our observations." |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | unknown |
| Relation: | https://figshare.com/articles/journal_contribution/Learning_to_diagnose_by_doing/6468953 |
| DOI: | 10.1184/R1/6468953.v1 |
| Διαθεσιμότητα: | https://doi.org/10.1184/R1/6468953.v1 https://figshare.com/articles/journal_contribution/Learning_to_diagnose_by_doing/6468953 |
| Rights: | In Copyright |
| Αριθμός Καταχώρησης: | edsbas.251FFE5E |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1184/R1/6468953.v1 |
|---|