Computational intelligence (CI) has emerged as a powerful paradigm in e-Science, providing the researchers an immense volume of intelligent computing techniques and algorithms. CI provides knowledge engineers to develop a robust techniques and intelligent tools for e-government applications and tasks. This paper presents a comparative analysis of some techniques used in e-activities and e-government systems. The study includes the following paradigms; artificial neural networks, fuzzy logic, genetic algorithms, case-based reasoning, support vector machines, and swarm intelligence. Additionally, this study found that such paradigms offer many business benefits and advantages; e.g. (a) the ability to acquire, represent, manage and structure the knowledge in the domain under study, (b) the ability to optimize resources, (c) the ability to perform efficient performance, and (d) the ability to conduct planning, budgeting, and forecasting.
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