Name
Abstract | ||
|---|---|---|
Understanding the cognitive evolution of researchers as they progress in academia is an important but complex problem; one that belongs to a class of problems, which often require the development of models to gain further understanding of the intricacies of the domain. The research question that we address in this paper is: how to effectively model this temporal cognitive mental development of prolific researchers? Our proposed solution is based on noting that the academic progression and notability of a researcher are linked with a progressive increase in the citation count for the scholar’s refereed publications, quantified using indices such as the Hirsch index. We propose the use of an yearly increment of a scholar’s cognition quantifiable by means of a function of the scholar’s citation index, thereby considering the index as an indicator of the discrete approximation of the scholar’s cognitive development. Using validated agent-based modeling, a paradigm presented as part of our previous work aimed at the development of a cognitive agent-based computing framework, we present both formal as well as visual agent-based complex network representations for this cognitive evolution in the form of a temporal cognitive level network model. As proof of the effectiveness of this approach, we demonstrate the validation of the model using historic data of citations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s12559-013-9219-y | Cognitive Computation |
Keywords | Field | DocType |
Agent-based modeling,Cognitive development,Cognitive agent-based computing,Complex adaptive system,Hirsch index,Complex networks | Research question,Computer science,Citation,Citation index,Artificial intelligence,Complex network,Cognition,Complex adaptive system,Notability,Cognitive development,Machine learning | Journal |
Volume | Issue | ISSN |
abs/1708.06524 | 1.0 | Cognitive Computation 6.1 (2014): 113-124 |
Citations | PageRank | References |
4 | 0.42 | 27 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hussain | 1 | 705 | 29.16 |
| Muaz A. Niazi | 2 | 177 | 24.55 |