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Artificial Intelligence - criminal responsibility

الذكاء الاصطناعي -المسؤولية الجنائية

4654   65   47   5.0 ( 3 )
 Publication date 2020
  fields Low Sciences
and research's language is العربية
 Created by Shamra Editor




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References used
ذيب بن عايض القحطاني: أمن المعلومات، مدينة الملك عبد العزيز للعلوم والتقنية، الرياض، 2015م.
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The word "massive data" spread in 2017 and became the most common in the industry of advanced technology, it uses automated learning that allows computers to analyze past data and predict future data widely in familiar places. Non-automated learning professionals can use it too. To study the analytical method of statistical Automatic learning, it is necessary to identify the concept of artificial intelligence and its main classification and analytical techniques included and represent in automatic learning and deep learning. Automatic learning has developed thanks to some breakthroughs in artificial intelligence. It is an awareness of the efficient teaching of computers in addition to the invention of the Internet. Neural networks have an important role to play in teaching computers, such as humans, where they use data they can access to make decisions. There are many algorithms for learning about automatic learning. In our study, we demonstrate the methods and applications of automated statistical analysis, such as regression analysis, decision tree, middle method k and association analysis.
Through our research we develop an Expert System called Transformer Fault Detection and abbreviation Exformer, to help engineers and technical's in detecting and diagnosis of oiled power transformer faults before it going out of service. We also u se Fuzzy Logic in ambiguous data cases about gas ratios in transformer oil, which require use of fuzzy rules in knowledge base of expert system. We also discuss basis of using Artificial Neural Networks and choose number of layers, number of neurons and suitable neural network for power transformers faults analysis and compare.
This research raises the question of the possibility of prosecuting the members of the " ISIS" organization for this crime, and what is the response of international law to it, through studying the best possible ways. The study ended with a set o f results and proposals, the most important of which was the establishment of a special international court to try individuals of "ISIS" for the crime of intentional destruction of cultural heritage under the name of "cultural cleansing".
In Artificial Intelligence field, Knowledge Engineering phase is considered the most crucial phase of the development life cycle of the Knowledge Base Systems [1]. In fact, Formal Logic in general and Modus Ponens specifically has been the dominan t tools for structuring this knowledge [3]. This led for forming a gap between the knowledge area and the information area, which depends structurally on the Set Theory in general and on the Relational Algebra in particular [1]. Thus, trying to introduce a bridge to pass this gap in structuring and treating knowledge, we have conducted a new knowledge representation model that depends structurally on (Classical and Fuzzy) Set Theory. Then we used it as the base for conducting an inference model that attempt, using a set of algebraic operations and by going through a series of stages, to reach a solution of the problem under study, in a manner very close to the one that humans usually use in treating their knowledge, taking into consideration the speed and accuracy as much as the problem allows.
تقرير صادر عن اليونسكو عن دور الذكاء الاصطناعي في الادماج والتعليم يناقش الحاجة إلى مسارات تحويلية لتذليل العقبات المتعددة لاستثمار الذكاء الاصطناعي في قطاع التعليم

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