Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
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.
Hussain, A., & Niazi, M. (2014). Toward a Formal, Visual Framework of Emergent Cognitive Development of Scholars. Cognitive Computation, 6(1), 113-124. https://doi.org/10.1007/s12559-013-9219-y
Journal Article Type | Article |
---|---|
Acceptance Date | May 6, 2013 |
Online Publication Date | Jun 4, 2013 |
Publication Date | 2014-03 |
Deposit Date | Sep 26, 2019 |
Journal | Cognitive Computation |
Print ISSN | 1866-9956 |
Electronic ISSN | 1866-9964 |
Publisher | BMC |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Issue | 1 |
Pages | 113-124 |
DOI | https://doi.org/10.1007/s12559-013-9219-y |
Keywords | Agent-based modeling; Cognitive development; Cognitive agent-based computing; Complex adaptive system; Hirsch index; Complex networks |
Public URL | http://researchrepository.napier.ac.uk/Output/1793070 |
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