Abstract
According to Demeter (2015) over the past fourty years, scientists, engineers, philosophers, and psychologists have been concerned with the infinite number of social, economic, and physical issues that exist and that cannot be dealt with in isolation. As agruged by Wong, Luo, and Fong (2019) it has been found through experiments and piloting techniques that the existing traditional methods and knowledge is not suited into coping and addressing the unique and sophisticated situations. In the process of searching and coming up with techniques such the use of Bernoulli’s principle for aerodynamics and aviation, perturbation techniques, and the nonlinear approximation methods, it was discovered that physics, chemistry, and mathematics brings out a limited area of interest and therefore can only offer solutions to problems in narrow perspectives. For example, the aforementioned disciplines majorly concentrated on a particular subject of interest and use limited principles towards solving the identified problem, that is to say, a significant number of assumptions are brought into play in order to help in arriving at the intended destinations. Notably, the techniques applied in solving scientific problems do not regard competing frameworks and this contributed to their limited nature in solving social and physical problems. As suggested by Leaver,Willson, and Torres (2016) it is against this backdrop that, framing of a problem through gaming techniques in subject content areas is being encouraged since it involves competing frameworks and consequently works to reduce the number of assumptions plunged in the process of solving mathematical problem. Gaming techniques entails the combination of various techniques that can deal with adversities, uncertainty, unique, and sophisticated situations in the field of science. Fundamentally, framing of a problem through gaming tricks provides an advantage of combining the social-human with economic, technological, and physical domains. The outcome associated with the gaming technique is scientific improvements and increased applications of the available knowledge and information (Wong, Luo, and Fong, 2019).
Highlights
Introduction and Background informationWith the existing world of complexities, many researchers have been concerned with the best techniques of arresting problems that the social communities are faced with in every day today lives
The Reproductive Learning Environment: The rationalists find it appropriate to use the Trivial Machine as their characteristic example to present their internal conception of reality and in this world which is full of complexities and unique situations
It can be seen that, the non-trivial machines or systems responds to changes that are introduced in the system and it can be said that the actor system is both reactive in the sense that the input X to function F may exhibit some form of changes or reactions, and proactive in that the actors brings about changes or constructs the environment to better suit their objectives and goals
Summary
Introduction and Background informationWith the existing world of complexities, many researchers have been concerned with the best techniques of arresting problems that the social communities are faced with in every day today lives. The Reproductive Learning Environment: The rationalists find it appropriate to use the Trivial Machine as their characteristic example to present their internal conception of reality and in this world which is full of complexities and unique situations.
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