Area of Knowledge Uses a Network of Ways of Knowing (Essay Sample)

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Theory of Knowledge
Ways knowledge alludes to the methods through which individuals commences obtaining knowledge. Ways of knowledge have two integral purposes that involve providing the solution to the inquiries that: how do we know? And how do I know? These ways of knowledge incorporate emotions, faith, sense perception, language, memory, intuition, and imagination (Husserl and Claire 24). For instance, language as a way of knowing refers to the intricate communication schemes through which an individual acquires knowledge either via reading something that is written or listening to something being said. Each particular way of knowledge applies different concepts towards equipping an individual with knowledge. In gaining knowledge, each area of knowledge uses a network of ways of knowing. In the evaluation of this assertion, this paper will use two areas of knowledge that is mathematics and science to illustrate the each uses a network of ways of knowing.
Looking onto science, the different ways of knowing also works as a network towards gaining knowledge. For instance, science shows emotions through scientist having wishes in the anticipated results of their experimental studies. To exemplify this, a scientist testing the validity of a chemical substance yet to be declared a drug wishes the chemical substance will produce appropriate results demonstrating their emotional perspective. Regarding reason, science relies on this way of knowledge hugely. Reason in science constitutes making deduction and induction from the various evidence of their studies through experimental means and primary and secondary sources. Reasoning also involves correlation that is cause and effect to make various inferences (Husserl and Claire 122). Without wishful thinking of positive anticipation of affirmative findings from research that reflects the emotional way of knowing reason will not take its course. Minus the emotional urge to pursue knowledge, reason is not properly functional. On this note, reason and emotions as ways of knowing are in a network that is each is dependent on the other. Removing one way of knowing either emotion or reason the knowledge will not be successfully or accurately be achieved.
The next way of knowing in science is perception. Perception is in science is core the initial step in science and it involves observation. Science is based on selective observation. To acquire different results for example in a chemistry experiment, different colors signify different finding. A scientist undertaking chemistry experiment will undertake an experiment selecting the better finding until they reach the best or the ultimate results. Further, science employs very technical terms in the pursuit of knowledge. To be in a position to pursue knowledge in science, an individual is required to learn the basic language used in science. The range of technical terms in science includes element, atoms, absolute zero, acceleration and so on depending on the particular subspecialty of science (Hay 54). In science, perception and language are also linked to what can be referred to as a network. As every scientific inquiry commences with the observation that is perception, to be able to jot down the findings of the study one needs to have an understanding of the scientific language. Moreover, to be in a position to undertake any study, a scientist needs to refer to studies already done by others related to theirs. In this light, having the knowledge of the language facilitates knowing how to carry out the study. Language and perception concerning science are therefore in a network.
On the counterclaim that the ways of knowing in science are in a network, in science it is sometimes probable to gain knowledge using only one way of knowing. To illustrate this point, perception as one of an integral part of science will not require the emotional perspective to make the best observation. Emotions viewed in science through wishful anticipation of positive results are not compulsory though essential. In this case, none of the ways of knowing in science would obligatory require emotion to achieve the best knowledge. Therefore, the ways of knowing in science are not in a network. Another counterclaim is that at times in science, the ways of knowledge doesn’t interact with each other. For example, emotions do not interact with reason in science. This is because an individual will have either reason or not in the quest for knowledge in science independent of whether they emotionalize getting affirmative results.
In gaining knowledge in mathematics, a network ways of knowing are utilized going from reason, language, emotion and perception. Beginning with emotions, the emotional inclination affects the capacity to learn mathematics. An individual with emotional attitudes that are negative towards mathematics will experience difficulties learning or acquiring knowledge in the area of knowledge (Hay 78). For instance, whenever I was punished by my parents in the morning before going to school, I would never understand anything in the mathematics class as I was occupied emotionally leaving no room for concentration. To acquire knowledge in mathematics, reason also plays a vital part as mathematics is characterized theorems, axioms, and rules of inferences. Particularly, reason is utilized amid the application of theorems and axioms. Reason is essential in mathematics as every mathematical concept requires logic to be able to apply it. In obtaining knowledge in mathematics, the network of the ways of knowledge also includes perception. Having emotional attitudes hinders the functionality of perception in mathematics as a way of acquiring knowledge and in this light, the ways of knowledge are viewed as a network.
One of the central parts of mathematics is its capability to predict and describe events that are not perceivable (Sutherland 54). For example, through mathematics planets have that have not been seen yet are discovered. Looking at perception at another angle, to be able to gain knowledge mathematics in individual ought to perceive the whole concept in mathematics to be able to come with an accurate solution to the mathematical challenge. Another way of knowing in mathematics is language. Mathematics has a different language only comprehensible to mathematicians. For example, mathematics uses unique symbols and numeric and their organization in the different ways implies or gives a specific meaning. To illustrate this, the addition of one plus one to get two will be written mathematically as 1+1=2. Having the knowledge of mathematics involves knowing the different mathematical language. All these ways of knowing are a network wi...