SUN’IY INTELLEKT VA UNING ASOSIY TUSHUNCHALARI
Keywords:
sun’iy intellekt, mashinaviy o‘qitish, neyron tarmoqlar, ekspert tizimi, algoritm, optimallashtirish, intellektual agent, ma’lumotlar modeli.Abstract
Ushbu maqolada sun’iy intellektning (SI) nazariy poydevori, asosiy modellari, aqliy jarayonlarni kompyuterda simulyatsiya qilish mexanizmlari va algoritmik yondashuvlar tizimli ravishda yoritiladi. Sun’iy intellektning tarixiy rivoji, zamonaviy arxitekturalari, mashinaviy o‘qitish usullari, neyron tarmoqlar, ekspert tizimlari, algoritmik murakkablik hamda amaliy qo‘llanishlari chuqur tahlil qilinadi. Maqolada zamonaviy SI yondashuvlarida qo‘llaniladigan matematik modellash, optimallash jarayonlari va intellektual agentlarning qaror qabul qilish strategiyalari haqida batafsil ilmiy yondashuv beriladi.References
1. Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach. — Pearson, 2022.
2. Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. — MIT Press, 2016.
3. Mitchell, T. Machine Learning. — McGraw-Hill, 1997.
4. Bishop, C. M. Pattern Recognition and Machine Learning. — Springer, 2006.
5. Haykin, S. Neural Networks and Learning Machines. — Pearson, 2019.
6. Sutton, R. S., Barto, A. G. Reinforcement Learning: An Introduction. — MIT Press, 2018.
7. Marr, D. Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information. — MIT Press, 2010.
8. Domingos, P. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. — Basic Books, 2015.
9. Nilsson, N. The Quest for Artificial Intelligence: A History of Ideas and Achievements. — Cambridge University Press, 2010.