درخت حوزه‌های تخصصی

Scientific scepticism, fundamentally, questions the veracity and epistemic value of claims not supported by scientific evidence. Motivated by the assumption that only the empirical investigation of reality leads to the truth, the scientific sceptics often maintain that only scientific method is best suited for this purpose. Claims found to be wanting in scientific evidence are considered untrue, and of little or no epistemic consequence. Using the analytical and critical methods, this paper interrogates this epistemic criterion of justification of scientific scepticism. It shows the inherent epistemic deficits in this criterion of the scientific sceptics, and how absolutizing its demands in such a manner as to undermine the veracity and epistemic significance of claims outside the mainstream discipline of science is not only to entrap themselves in many epistemic burdens, but also to sink under the unsavoury weight of criteriological egocentrism, detrimental to cognitive progress. As a credible alternative, this paper explores the epistemic fecundity of contextualistic pluralism – the pluralism of contextually underwritten cognitive positions – in truth and knowledge justification. It concludes with the relevance of this approach in epistemic justification as evident in its inclusive nature as well as its shift of the focus of philosophical thinking from identity to diversity in an interculturality society.  

Artificial intelligence (AI) has the potential to revolutionize the field of archaeology by enabling researchers to analyze large amounts of data quickly and accurately. In this article, we have tried to implement some methods and algorithms in image processing on the image of ancient artifacts. We implemented the algorithms on two historical models as examples, one of which is the image of a coin decorated with the image of Farkhan the Great and the other is the coin with the image of Khursheed Daboui to obtain the details of these works from the images on the computer. We used Edge Detection, Hough Transform, imcontour, and Filter Images Using Predefined Filters algorithms in MATLAB software, each of these algorithms is used for specific purposes in image processing. By using digital image analysis techniques, researchers can gain a deeper understanding of the objects and sites they are studying and can make new and important discoveries about the history and culture of ancient civilizations.