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العنوان
دور المنطق في الذكاء الإصطناعي وتمثيل المعرفة /
المؤلف
الكيال، محمد عبدالفتاح احمد احمد.
هيئة الاعداد
باحث / محمد عبدالفتاح احمد احمد الكيال
مشرف / عادل عبدالسميع عوض
مناقش / عمادالدين ابراهيم عبدالعزيز
مناقش / اكرام فهمي حسين
الموضوع
الذكاء الاصطناعي. المنطق. المعرفة. الفلسفة.
تاريخ النشر
2023.
عدد الصفحات
178 ص. :
اللغة
العربية
الدرجة
ماجستير
التخصص
فلسفة
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة المنصورة - كلية الآداب - قسم الفلسفة
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

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المستخلص

In this thesis, we have tried to address the roots of the close relationship between logic and artificial intelligence, which until now can be described as somewhat stable. Throughout the history of artificial intelligence, the role of logic has not been marginalized and it has not failed to be viewed as one of the most important basic pillars of this science. It is hardly devoid of Any intelligent system has a logical fingerprint that proves the role of logic in this system in all its stages, whether in preparing the program and representing knowledge, or in implementing the program and entering inference commands, and even in its final stages, which is programming, so that the system can carry out the tasks assigned to it efficiently. Early in the last century it was more difficult to separate philosophical interests in logic from technical interests in logic. Those who were professional mathematicians occupied themselves with larger philosophical topics, and those who were professional philosophers were concerned with shaping mathematics. The logic of the logic department has become less risky. Logic became mixed with mathematics, so that we no longer know where logic begins and where mathematics ends. As Bertrand Russell said - logic became more mathematical and mathematics became more logical. This relationship was advanced by many modern logicians, including Gottfried Leibniz, as well as the establishment of the doctrine of logic algebra by George. pee . Mathematics is undoubtedly a very elegant means of reducing the complexity of phenomena in the form of comprehensive laws that simplify these phenomena, and statistics, although less elegant and certain, is also an effective means of domesticating complexity, refining its intensity, and extracting essences, by avoiding stray cases and merging details into wholes, averages, and indicators. Artificial Intelligence is a modern discipline that has not yet been in existence for 75 years. The scientific questions it addresses and the technological advances it proposes are among the most complex questions that man has ever sought to answer. Faith in its fruitful results, its intelligence and its spirit will not be limited to man alone; Man who in this sphere will also no longer be able to claim to be the center of the universe. As a scientific discipline, and as a technology dedicated to automating knowledge acquisition, thinking, and acting, AI will increasingly become a tool for other sciences, whether natural, economic, human, or social. AI programs require methods for jumping to conclusions on the basis of insufficient evidence, and attempts by AI researchers to define a framework of thought of sufficient precision for programming AI systems have already led to certain philosophical views, both for sidesteps in some ancient philosophical debates as well as for proposals We consider it new. At the top of logic’s contributions was the introduction of non-monotonic logic or non-boring logic presented by John McCarthy - then the contributions of logic to programming languages ​​were numerous at the hands of many logicians, including Lukatchewitz - the adoption of cloudy logic, flexible logic, or what is known as fuzzy logic.