Sir Isaac Newton’s discoveries are truly relevant in our world today. His contributions to Physics are nonetheless substantial, especially the Laws of Motion which he established. However, the debate on whether Isaac Newton was a nativist or an empiricist has aroused. Some question Newton’s way of thinking where it breaks down to the belief of being any of nativism or empiricism. Firstly, nativism is the belief which states that people’s skills are natural to them that at birth, everything they need to learn are already coded in their brains, just waiting to be explored and be utilized. Nativists believe that we have brains which are hard wired with the talents and skills. It is more on how we uncover these things that we learn the things around us. The process of acquiring knowledge is just actually relearning what has already been coded in our brains. On the other hand, Empiricism claims that we have been born with a blank slate – tabula rasa, needing to be filled up by learning.

Electronic Health Record - Assignment Example It is an open source of information on health care (especially HIV) in developing countries of Africa. It is based on the information of various records updated in the EMR which are then refined and analyzed in the EHR. This system is state of the art technology. It covers almost every feature that would help to maintain the record of any person or country. It is also a user-friendly system, which allows a user to freely roam about in various interfaces. The flexibility offered by this system is also another feature which makes it more desirable, medical support information could be access in the remotest of the geographical regions (Mamlin et al., 2006). The start-up, maintenance and implementation cost of this product can be troublesome. Start-up and implementation cost is quite high and it requires huge sums of money in the starting phase, but with the passage of time, it becomes cheaper as the maintenance cost is not that high, which are also some of its biggest demerits.

Contemporary Theories of Reasoning: An Analysis Computational and algorithmic challenges to contemporary theories of reasoning Kattja Madrell Reasoning is the process of using given information to draw valid conclusions and produce new information (Goel Dolan, 2003) based on a combination of beliefs and language of thought (Fodor, 2001). The language of thought hypothesis proposed by Fodor (2001) states that thought and thinking occurs in a mental language; mental representations of reasoning are like sentences and this is why language of thought is sometimes also known as Mentalese (Murat 2010). Fodor (2001) admitted, however, that language of thought alone could not be used to explain reasoning; instead a combination of language of thought and a person’s belief is now accepted as the basis of human reasoning. Evans, Barston, Pollard (1983) found that a person’s beliefs about the conclusion of an argument influenced whether or not they deemed that conclusion to be valid; the truth value of a conclusion was based upon its logical relationship to a belief (Goel Dolan, 2003).

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