Proposed Hypothesis on replacing Non-Deterministic Approach to Abstraction due to the exhibition of faulty speculations
Shreya Indukuri, Anil Kumar Reddy Konda, Mellacheruvu Janakirama Sharma
DOI: http://dx.doi.org/10.15439/2020KM17
Citation: Proceedings of the 2020 International Conference on Research in Management & Technovation, Shivani Agarwal, Darrell Norman Burrell, Vijender Kumar Solanki (eds). ACSIS, Vol. 24, pages 69–72 (2020)
Abstract. Non-Determinism is the word that is used to refer to an event or a series of the same that is said to be unpredictable but is assumed to be belonging to a domain of possibilities. From the inception, non-deterministic approaches have played a huge role in statistics, machine design, the definition of Random, and a few other domains to mention. Non-Deterministic processes are defined as the paths that lead to no fixed state but a set of possible states instead. One of the crucial reasons would be delving into the human understanding of processes and the ability to justify happenings around. A behavior that has accumulated throughout the evolution of mankind is to explain boundaries based on what is being perceived. The argument of Human Understanding of processes around can be of huge prominence as they play a vital role in explaining and demystifying a lot of misconceptions. One such aspect that is a resultant of this phenomenon would be a nondeterministic approach. The key focus of this paper will be on emphasizing how humans are limited to perceiving reality, how several misconceptions have accumulated around misstated definitions by the virtue of the same, have a closer look at Randomness, a sheer epitome of the same, and also propose a few potential applications that are affected by the hitherto stated problem
References
- https://www.statisticshowto.com/deterministic/
- https://en.wikipedia.org/wiki/Nondeterministic_algorithm
- https://machinelearningmastery.com/introduction-to-random-number-generators-formachinelearning/#:~:text=Randomness%20is%20a%20big%20part,in%20order%20to%20make%20predictions.&text=The%20source%20of%20randomness%20in%20machine%20learning%20is%20a,called%20a%20pseudorandom%20number%20generator.
- https://machinelearningmastery.com/randomness-in-machine-learning/