Kamran Shafi
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View article: A System Dynamics Modeling Support System Based on Computational Intelligence
A System Dynamics Modeling Support System Based on Computational Intelligence Open
System dynamics (SD) is a complex systems modeling and simulation approach with wide ranging applications in various science and engineering disciplines. While subject matter experts lead most of the model building, recent advances have at…
View article: Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis Open
Term weighting is one of the most commonly used approaches, which works by assigning weights to terms, that aims to improve the performance of information retrieval or text categorization tasks. In this paper, we present a novel term weigh…
View article: Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks
Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks Open
Conceptual or explanatory models are a key element in the process of complex system modelling. They not only provide an intuitive way for modellers to comprehend and scope the complex phenomena under investigation through an abstract repre…
View article: Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment Open
Autonomous systems are making their way to the market. The transition from tasks performed by humans to tasks performed by machines begs for an answer to one of the most challenging questions in this area of research: Will humans understan…
View article: A Survey of Learning Classifier Systems in Games [Review Article]
A Survey of Learning Classifier Systems in Games [Review Article] Open
© 2017 IEEE. Games are becoming increasingly indispensable, not only for fun but also to support tasks that are more serious, such as education, strategic planning, and understanding of complex phenomena. Computational intelligence-based m…
View article: Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression
Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression Open
Networks of coupled dynamical systems provide a powerful way to model systems with enormously complex dynamics, such as the human brain. Control of synchronization in such networked systems has far reaching applications in many domains, in…
View article: Historical operational data analysis for defence preparedness planning
Historical operational data analysis for defence preparedness planning Open
Preparedness is an important function of defence planning that involves developing defence capabilities to deal with emergent situations relating to national defence and security. Preparedness planning relies on a number of inputs, includi…
View article: A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios
A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios Open
Our increasing dependence on information technologies and autonomous systems has escalated international concern for information- and cyber-security in the face of politically, socially and religiously motivated cyber-attacks. Information …
View article: Prediction of dynamical systems by symbolic regression
Prediction of dynamical systems by symbolic regression Open
We study the modeling and prediction of dynamical systems based on conventional models derived from measurements. Such algorithms are highly desirable in situations where the underlying dynamics are hard to model from physical principles o…