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Criminal responsibilities arising from artificial intelligence crimes المسؤولية الجزائية عن جرائم الذكاء الاصطناعي
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لقد كان للثورة الرقمية التي ظهرت في القرن العشرين أثر في إحداث تأثيرات جذرية تضمنت نواحي الحياة المختلفة، خصوصًا في المجال الإقتصادي، والتي تمثلت بثلاث صور ( الذكاء الإصطناعيArtificial Intelligence( AI) وإنترنت الأشياء Internet of Things والبيانات الضخمة Big Data ، وفيما يتعلق بالذكاء الإصطناعي، فقد تم إكتشافهُ في منتصف خمسينات القرن الماضي الذي تعد الولادة الحقيقية لهُ في المؤتمر الذي نُظم في الولايات المتحدة الأمريكية على يد العالمان John McCarthyو Marvin Minsky ، وعلى مرًّ السنين تطورت تقنيات الذكاء الإصطناعي بشكل متسارع الى أن وصلت بعض التطبيقات أن تكون لها القدرة على التعلم الذاتي من المواقف التي تمرًّ بها، فتتصرف بأستقلالية وفقًا للظروف والمواقف المحيطة بها، كالطأئرات المسيَّرة ذاتيًا والسيارت ذاتية القيادة والروبوتات وغيرها، وعلى الرغم من الفوائد التي لاتُعّد ولا تُحصى للذكاء الإصطناعي وتطبيقاته في المجالات الطبية والعسكرية والتعليمة وغيرها، إلا أن لهذه التطبيقات أثر سلبي على الإنسان فقد نتج عن استخدامها المساس بالمصالح المحمية قانونًا، لذا يؤدي ظهورها ، التفكير بشكل جديَّ حول التأثيرات المستجدة التي ستُحدثها هذه التقنية الثورية بما تملكه من إمكانيات متطورة ومقدرة على التصرف بشكل ذاتي ودون الحاجة لأي تدخل بشري ، لذا تحتم ﻋﻠﻰ اﻟﻤﺸﺮع إﻋﺎدة ﺗﻜﯿﯿﻒ ﻗﻮاﻋﺪه اﻟﻘﺎﻧﻮﻧﯿﺔ ذات اﻟﻤﺪﻟﻮل اﻟﻮاﻗﻌﻲ واﻟﻤﺎدي من أجل التعامل ﻣﻊ واﻗﻊ إﻓﺘﺮاﺿﻲ ﻏﯿﺮ ﻣﻠﻤﻮس ﻓﻲ حالات متعددة تحديدًا ﻣﻊ مرحلة إﻧﺘﻘﺎل ﻓﻜﺮة اﻟﺬﻛﺎء الإﺻﻄﻨﺎﻋﻲ ﻣﻦ الإطار اﻟﻤﻌﻨﻮي ﻏﯿﺮ اﻟﻤﻠﻤﻮس واﻟﺨﺎص، إﻟﻰ الإطار اﻟﻤﺎدي اﻟﻤﺤﺴﻮس واﻟﻌﺎم، وﻣﻦ إطﺎر اﻟﺒﺮﻣﺠﯿﺎت سهلة التحكم إﻟﻰ ﻧﻈﺎم اﻟﺒﺮﻣﺠﯿﺎت اﻟﺬﻛﯿﺔ، ﺳﻮاء تعلق هذا الأمر بتطور قدرات البشر أو تطوير تطبيقات الذكاء الإصطناعي من الناحية الفيزيائية أو المادية بصورة تحاكي البشر في تصرفاتهم وأفعالهم لذا الحاجة تستدعي التأطير القانوني للقواعد التي تحكم هذا الذكاء وتحديد المسؤولية المدنية والجنائية بصورتي العمد والخطأ الناجمة عن كل أخلال يصيب المصالح المحمية. Abstract The digital revolution that emerged in the twentieth century had a radical impact on various aspects of life, especially in the economic industry, which included three forms (Artificial Intelligence (AI), the Internet of Things, and Big Data. With regard to artificial intelligence, it was discovered in the mid-fifties of the last century, and its real birth was at the conference organized in the United States of America by the scientists John McCarthy and Marvin Minsky. Over the years, artificial intelligence techniques have developed rapidly until some applications have reached the ability to self-learn from the situations that they encounter and act independently according to the circumstances and situations surrounding it, such as drones, driverless cars, robots, etc., and despite the countless benefits of artificial intelligence and its applications in the medical, military, educational, and other fields, these applications have a negative impact on humans, which may result in using it to harm legally protected interests. Therefore, the emergence of artificial intelligence applications leads to serious thinking about the new effects that this revolutionary technology will have with its advanced capabilities and the ability to act independently and without the need for any intervention .Therefore, it is necessary for the legislator to readapt its legal rules with a realistic and material meaning in order to deal with a hypothetical, intangible occurrence occurs in several cases, specifically with the transition of the idea of artificial intelligence from the established framework from the intangible and private intention, to the concrete, tangible and public framework, and from the easy-to-control software framework to the intelligent software system, whether this matter relates to the development of human capabilities or the development of artificial intelligence applications from a physical or physical perspective in a way that mimics humans in their behavior and actions. Therefore, the need demands for legal framing of the rules that govern this intelligence and determining civil and criminal liability weather it is intentionality and unintentionally that resulting from every breach of the protected interest

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Publication Date
Sun Jun 02 2019
Journal Name
Journal Of The College Of Languages (jcl)
The search for Sanctity and Divine Love « The Narrow Door » Andre Gide: À la recherche de la sainteté et de l’amour céleste dans « La porte étroite » d’André Gide.
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The theme of love has been and still is the interest of authors and writers for it is closely related to people’s lives. That great passion has helped them express genuine thoughts pertinent to that theme that has given rise to many debates, some are vague and others controversial. In his (strait is the gate), (La Porte étroite), André Gide has sought to shed light on his characters perspective of love and its relationship with sacredness and divine happiness. Indeed these characters have found often themselves restrained, chained and exhausted, by tough religious commands that have imposed on them spiritual commitments and duties too hard to break.

André Gide has revealed a protestant deviation from the perfection theme tha

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Publication Date
Tue Jun 01 2021
Journal Name
Journal Of The College Of Languages (jcl)
Definition of the verb in the form of the imperative mood (imperative) - general information about the verb in Russian: Определение глагола в форме повелительного наклонения (императива) - общая сведения о глаголе на русском языке)
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      The article examines the definition of the verb in the form of the imperative mood (imperative) _ general information about the verb in Russian .

       A verb in Russian is one of the parts of speech that unify all parts of speech, expressing the meaning of action, movement, process in grammatical forms of time, type, mood, face and voice. The imperative mood is a grammatical feature of the verb expressed through several forms of the verb that urges someone to do things. In other words, imperative mood or (imperative) : -  one of the single meaning of the form . The form of the imperative expresses a supplicatio

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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of The College Of Languages (jcl)
A study of some of the of the Verbs’ Arabic Roots in the stories of Osman Ceviksoy Like a Voice in The Dark.: Osman Çeviksoy'un "Karanlıkta Ses Gibi" Başlıklı Öykü Kitabında Arapça Kökenli Türkçe Fillerin İncelenmesi
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Due to the Geographical links, language is one of the multiple affects among Arabs and Turks. As the different studies demonstrate, Turkish contains many words derived from other languages, yet Arabic remains the language that has great affects on Turkish. Unlike Turkish language, Arabic is a derivative language that requires no suffixes. Thus, Arabic verbs are tuned into Turkish verbs by adding auxiliary verbs. The present study traces some of the Turkish compound words of Arabic roots with an explanation that shows the Auxiliary added to form the Turkish verb as found in the stories of Otman Chevek Sawy’s Like A voice in the Dark. The conclusion sums up the findings of the study illustrated by numbers.

Özet<

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Publication Date
Sat May 10 2025
Journal Name
سفير برس
استشراق مؤسسات المعلومات في عام 2050
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يتناول هذا المقال تصورًا مستقبليًا لمؤسسات المعلومات في عام 2050، حيث يستعرض كيف ستتغير بنيتها لتصبح ذكية ومستدامة، ويستعرض دور أخصائي المعلومات في بيئة رقمية متقدمة. كما يناقش تطور مصادر المعلومات وخدماتها، ونُظم تنظيمها، بالإضافة إلى تنوع المستفيدين، مع إبراز دور هذه المؤسسات في دعم التنمية المستدامة

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Publication Date
Sat May 16 2026
Journal Name
Journal Of Administration And Economics
Bayesian Method in Classification Regression Tree to estimate nonparametric additive model compared with Logistic Model with Application
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The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of these classification tree. Although bayesian estimates is generally accurate, but it seems that the logistic model is still a good competitor in the field of binary responses through its flexibility and mathematical representation. So is the use of three research methods data processing is carried out, namely: logistic model, and model classification regression tree, and bayesian regression tree mode

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Publication Date
Tue Oct 23 2018
Journal Name
Journal Of Economics And Administrative Sciences
Use projection pursuit regression and neural network to overcome curse of dimensionality
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Abstract

This research aim to overcome the problem of dimensionality by using the methods of non-linear regression, which reduces the root of the average square error (RMSE), and is called the method of projection pursuit regression (PPR), which is one of the methods for reducing dimensions that work to overcome the problem of dimensionality (curse of dimensionality), The (PPR) method is a statistical technique that deals with finding the most important projections in multi-dimensional data , and With each finding projection , the data is reduced by linear compounds overall the projection. The process repeated to produce good projections until the best projections are obtained. The main idea of the PPR is to model

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Publication Date
Sun Mar 01 2026
Journal Name
مجلة السلام الجامعة للعلوم الانسانية
فاعلية هندسة الأوامر في تعزيز دقة الاسترجاع المعرفي للنصوص الشرعية باستخدام تقنيات الذكاء الاصطناعي
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This study aims to examine the effectiveness of prompt engineering in enhancing the accuracy of knowledge retrieval for Islamic texts using artificial intelligence techniques. The research employs a descriptive-analytical approach to analyze current search mechanisms and test new models based on prompt engineering. The study is divided into three main sections: the general framework of the research, the theoretical framework of the role of prompt engineering, and an analysis of the applications of artificial intelligence in Islamic Jurisprudence. The findings indicate that prompt engineering significantly improves the accuracy of search results, enhances search efficiency, and reduces biases, emphasizing the importance of collaboration betw

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Publication Date
Tue Dec 01 2009
Journal Name
Journal Of Economics And Administrative Sciences
Using Artificial Neural Network Models For Forecasting & Comparison
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The Artificial Neural Network methodology is a very important & new subjects that build's the models for Analyzing, Data Evaluation, Forecasting & Controlling without depending on an old model or classic statistic method that describe the behavior of statistic phenomenon, the methodology works by simulating the data to reach a robust optimum model that represent the statistic phenomenon & we can use the model in any time & states, we used the Box-Jenkins (ARMAX) approach for comparing, in this paper depends on the received power to build a robust model for forecasting, analyzing & controlling in the sod power, the received power come from

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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Using VGG Models with Intermediate Layer Feature Maps for Static Hand Gesture Recognition
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A hand gesture recognition system provides a robust and innovative solution to nonverbal communication through human–computer interaction. Deep learning models have excellent potential for usage in recognition applications. To overcome related issues, most previous studies have proposed new model architectures or have fine-tuned pre-trained models. Furthermore, these studies relied on one standard dataset for both training and testing. Thus, the accuracy of these studies is reasonable. Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. Both models were tested on different datasets, adjusted to suit the dataset, and then trained under different m

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Publication Date
Wed Jun 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
Compared with Genetic Algorithm Fast – MCD – Nested Extension and Neural Network Multilayer Back propagation
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The study using Nonparametric methods for roubust to estimate a location and scatter it is depending  minimum covariance determinant of multivariate regression model , due to the presence of outliear values and increase the sample size and presence of more than after the model regression multivariate therefore be difficult to find a median location .       

It has been the use of genetic algorithm Fast – MCD – Nested Extension and compared with neural Network Back Propagation of multilayer in terms of accuracy of the results and speed in finding median location ,while the best sample to be determined by relying on less distance (Mahalanobis distance)has the stu

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