TOK Essay代写

　　“我们怎么知道我们可以看到有或没有的模式?我们看到的是模式还是创造?“在知识的两个方面讨论这个想法提出的知识问题。

　　在一个陌生和混乱的环境中，人们往往会发现熟悉的元素，并制定有意义的模式。例如，当我们在IB数学课上第一次遇到向量的概念时，我们中的大多数人会试图用已知的方法解决问题，比如用现有的多个平面在x-y网格上绘制坐标，这让我们感到困惑。从本质上讲，人类天生就具有天生的观察自然世界的不同方式的能力。他们对这些模式的观察取决于他们的教养和经验;最终，这种能力通过保护人类并帮助他们生存和生殖过程来帮助人类理解生命。因此，正是人类的进化使得人们更倾向于做出“实际”的选择，这些选择可能将风险降至最低并防止危险，即使那些“正确”的行为不一定是“真实的”。然而，人们有时过度解释不存在的模式，而其他时候他们识别出实际存在的模式，而当他们处于不利地位或没有准备时，情况可能更糟。此外，来自特定模式的知识偏向在各种学科和文化背景中是有问题的。这种信念在科学和宗教的背景下都有所体现;事实上，寻找模式的本能是人类最大的力量，也是我们最大的弱点。

　　6. “How do we know we can see patterns that are there or not? And are we seeing patterns or creating?” Discuss knowledge questions raised by this idea in two areas of knowledge.

　　In an unfamiliar and chaotic environment, people tend to find familiar elements and formulate patterns that make sense to them. For instance, when we encountered the concept of vector for the first time in our IB math class, most of us would try to solve the problem with the known, such as plotting coordinates on x-y grids, with the existing multiple planes that confused us. Essentially, humans are born with the innate ability to observe patterns with different ways of knowing in the natural world. Their observation of these patterns depends on their upbringing and experiences; ultimately, this ability helps humans make sense of life by protecting them and aiding them in their survival and in the process of reproduction. Therefore, it is human evolution that led to people to be more inclined to make the “practical” choices that could potentially minimize risks and prevent danger, even if those “right” actions are not necessarily “truthful”. However, people sometimes over interpret patterns that do not exist, while other times they discern patterns that are actually there, which can be even worse when they are disadvantaged or unprepared. Also, knowledge bias that arises from a particular pattern is problematic among various disciplines and cultural backgrounds. Such beliefs are demonstrated in both scientific and religious context; indeed, the pattern-seeking instinct is both humans’ greatest power yet also our greatest weakness.

　　In an unfamiliar and chaotic environment, people tend to find familiar elements and formulate patterns that make sense to them. For instance, when we encountered the concept of vector for the first time in our IB math class, most of us would try to solve the problem with the known, such as plotting coordinates on x-y grids, with the existing multiple planes that confused us. Essentially, humans are born with the innate ability to observe patterns with different ways of knowing in the natural world. Their observation of these patterns depends on their upbringing and experiences; ultimately, this ability helps humans make sense of life by protecting them and aiding them in their survival and in the process of reproduction. Therefore, it is human evolution that led to people to be more inclined to make the “practical” choices that could potentially minimize risks and prevent danger, even if those “right” actions are not necessarily “truthful”. However, people sometimes over interpret patterns that do not exist, while other times they discern patterns that are actually there, which can be even worse when they are disadvantaged or unprepared. Also, knowledge bias that arises from a particular pattern is problematic among various disciplines and cultural backgrounds. Such beliefs are demonstrated in both scientific and religious context; indeed, the pattern-seeking instinct is both humans’ greatest power yet also our greatest weakness.

　　According to evolutionism, it refers to find out the scientific and systematic development of life and behavior. However, scientist and scholars have discovered countless patterns in the scientific world about nature, like the periodic table, the Fibonacci number and tidal wave movements. Indeed, humans are adept at finding patterns from irregular noise. As we can see, nature encourages human being’s creativity. For example, conventionally, economists and e-commerce practitioners use statistic modelling to analyze existing data. However, the concept of big data has now been introduced, a mass set of data that does not rely on a long range nor carefully designed analysis plan, but literally looks for patterns, albeit for a purpose. This method allows the customers to see both the raw material and the end result. Therefore, instead of previously being mere assemblers, data analysts have now become the creators.[1] Recently, with the sufficient aid of big data, Alibaba’s double 11 event in China was able to hit its new peak of gross merchandise volume (GMV) by making $17.8 billion. With the goal of maximizing profit, Alibaba focused exclusively on big data, which was the key that consolidates other technological processes including cloud computing, AI, smart logistics and digital entertainment.[2] The value of big data has been found and approved. Based on the data of business, all industries including financial industry will develop vigorously. Big data provides powerful financial resources by the data bits. Big data combined with cloud computing can provide accurate marketing target and personalized custom services, can also be fully excavated appeared customer demand behind a lot of implicit demand (Huang & Wang, 2015). For implicit demand, big data can provide high quality of service than expected. The value scope will be expanded unlimited. A lot of the value used to sink previously can re-find the docking of supply and demand, and find their real positions. All of the value optimizes resources allocation.

　　[1] http://www.theinfluencegroup.co/big-data-innovation-by-numbers/

　　[2] https://www.technologyreview.com/s/602850/big-data-game-changer-alibabas-double-11-event-raises-the-bar-for-online-sales/