There are interesting areas where computer science and philosophy meet. These areas include artificial intelligence, robotics and virtual reality among others. The fields of philosophy and computer science have shared an extensive focus on representing information and rational interference. They have commonality in embracing mutual interests in algorithms and the areas of proof and verification. It is the fundamental idea of this study to explore on the two fields and determine various reasons as to why philosophy is important for computer science.
There are insights that the computer scientists are expected to have the ability to reflect critically and philosophically about the mentioned aspects. The information theory has been seen to be a common ground where computer science and philosophy interact. There is the concept of the ability to translate universally vs. incommensurability that has often clashed. Philosophy has also been seen to develop the best questions where the possible answers to the questions can equally and significantly be used in the areas of computer science. In the case of artificial intelligence, philosophy has come up with various experiments that can significantly be applied when it comes to the computation or in the development of the algorithms in artificial intelligence ( Hromkovič, 2004 ).
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The other case is in the course logic. The Boolean logic is a field studied and applied in both disciplines. The two disciplines have also benefited from the exploration of the probabilistic reasoning. The Boolean has as well be seen to underlie the designs of all the available computer hardware although there are others. Some fuzzy logics were developed to be used as tools in the event of addressing the vague issues in philosophy. But, these tools have to date been applied to many practical computing issues especially in the fields of robotics.
In the recent past, there has been Para-consistent logistics that has been developed to address the philosophical challenges like in the liar paradox and in the paradoxes of the implication of materials have been used in the analysis of data aiming to make meaningful conclusions from the databases with inconsistencies. There have been critics that the law of the excluded middle is critically important in computer science. It is also believed that it is the foundation of the two value logic and the digital representation. The law of identity has been seen to be necessary in cases of object-oriented programming and critics have it that these are just a few of Aristotle's contributions. It has been noted that all the best computer experts and the software engineers have confessed that their fields require a lot of science and art. The art in the case is seen as the soul, and it is also the room for philosophy ( Vallverdú, 2010 ).
From the insights in the discussion, it is seen that there are various critical areas where the field of philosophy have facilitated the development of features in computer science. The field of philosophy has developed individual experiments that can significantly be applied when it comes to the computation or in the elaboration of the algorithms in artificial intelligence. Some fuzzy logics drawn up to address vague issues in philosophy have in the current day being used in experiments that can significantly be applied when it comes to the computation or in the development of the algorithms in artificial intelligence. Critics have pointed that these are just a few of the contributions of philosophy in the field of computer science.
References
Hromkovič, J. (2004). Theoretical computer science: Introduction to automata, computability, complexity, algorithmics, randomization, communication, and cryptography; with six tables . Berlin [u.a.: Springer.
Vallverdú, J. (2010). Thinking machines and the philosophy of computer science: Concepts and principles . Hershey PA: Information Science Reference.
