Toward a Formal, Visual Framework of Emergent Cognitive Development of Scholars
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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.
KeywordsAgent-based modeling Cognitive development Cognitive agent-based computing Complex adaptive system Hirsch index Complex networks
We would like to express thanks to Dr. Tamim Khan at Bahria University for taking time to verify the formal framework developed in the paper.
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