the application of mathematics in different AOKs
In addition to the application of mathematics in different AOKs, it is evident that production knowledge seems to require creativity in the entire stages. For instance, imaginative young people can find creativity in pursuits that may otherwise be abundant. The central issue in this perspective is the vast dichotomy amongst relatively abundant knowledge production, although the scientific experiments, artistic innovations, and the obscurity of the generous bound to creativity. In the presence of creativity, the knowledge production process requires it consistently in every stage since the creative process does not require the implications of high barriers in producing knowledge.
Ideally, creativity is seen as inspiration, originality, and innovation, considering the natural sciences and arts. Following the brilliant mind of Oppenheimer to such legends as Van Gogh, the two fields focus on creativity, and thus fairly test the overarching question. KP is the formation of new information, creations, working in any field, as a result of scientific data to a piece of new music. Stages of knowledge production are distinguished by their hypothesis, experimentation, and conclusion following the scientific perspective, while in the Arts: conception and creation are through analyzing the nature of the stated AOKs (D’Orazi et al., 2015). The natural sciences investigate the unknown, primarily through curiosity and inquiry that pushes the scientists into a highly imaginative hence a creative hypothesis is developed ion the first stage. Exemplary, the initial conception of the nuclear fusion leading to energizing of the stars, by Eddington was a unique concept sparking out from a reason and imagination.
“Over time, knowledge has become more accurate.”
David Hume has argued that “All knowledge degenerates into probability.” According to him, all knowledge later becomes a mere guess, probably, instead of bearing truth or fact in it. The quote is suggestive of the idea that goes along with acquiring knowledge regarding accuracy. It is seemingly apparent over time, accumulating more experience in education gaining methods. However, the culture in Natural Science and Human Science is not always accurate, with the fields experiencing different challenges. The accuracy of knowledge in natural science is challenged by the misuse of technology, as most scientists do well as effects from the ethical concerns of the applied scientific methods. In contrast, human science is affected by the models applied by the researchers.
Most importantly, knowledge has been believed to become more accurate over time in both natural and human science. Yet the developed knowledge supports the scientific methods applicable while collecting more concrete evidence that reinforces the knowledge in natural science. In this context, the hypotheses are made in drawing experiments and reasoning while proving or disproving. Repeating a similar method also helps to improve the accuracy of the knowledge. The analyses provide highly accurate data; for instance, physics attempts to prove the accuracy of the standard model of physics. The model clarifies that everything on the earth’s surface is made of a few basic building blocks called fundamental particles, governed by four forces that have to be proved through experiments. However, the idea has been hypothesized for several years.
D’Orazi, V., Gratton, R. G., Angelou, G. C., Bragaglia, A., Carretta, E., Lattanzio, J. C., … & Sollima, A. (2015). On the serendipitous discovery of a Li-rich giant in the globular cluster NGC 362. The Astrophysical Journal Letters, 801(2), L32.