Journal of Computer Science & Systems Biology

Physiological system is dynamic and has a multi-factorial influence; hence, nonlinear and complex in nature. Due to limitation in data capturing in discreet time points, the general trend is that majority of physiological researches are approached with linearity; and hence problems of complexity are solved in an empirical manner. However, in recent time there is an increasing trend to understand the physiological system in a quantitative manner across the globe. Due to unavailability of costly software, students are unexposed to this global trend. In physical system complexity was first addressed by Edward Lorenz in 1963, which is now known as Lorenz equation. Here we depict the simple computational approach to represent such complexity of the Lorenz equation through some freely available open source software’s, so that students by themselves can appreciate the importance of quantification in an understanding of the complex behaviour of a nonlinear dynamical system.

This paper sets out to explore the possibility of having an artificially intelligent program run the nuclear defence program of the United States of America. The author explores how reasonable such a program would be and the overall benefits and possible destructive outcomes. The eventual conclusion results in a feasible solution to the problem of retaliation in the event of imminent nuclear impact.

Guidelines to the Requirement engineering along with the Agile team regarding improvement of Agile practices incorporated with Case based reasoning (CBR). Context: Applying Artificial Intelligence (AI) techniques on Agile practices to software development have acknowledged slight attention until now. Objective: In this research, we present a model which has been introduced for evolution of the Agile Software Development practices by using AI technique. Method: In this research, we have used published reports, articles, and existing case studies. Expert’s review method is used to accomplish the appraisal of this model. Result: This model has been resulted in improving the agile practices by using the concept of CBR. An addition to the SCRUM process it is beneficial to cope with reusability of requirements solutions in an Agile Development environment. Conclusion: The framework provides guidelines to the requirement engineering and also to the agile team regarding improvement of agile practices incorporated with CBR.