{"id":62376,"date":"2025-04-09T14:19:13","date_gmt":"2025-04-09T14:19:13","guid":{"rendered":""},"modified":"2025-04-09T14:19:13","modified_gmt":"2025-04-09T14:19:13","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-62376","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-62376\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u063a\u06cc\u0631\u0645\u062a\u0645\u0631\u06a9\u0632 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u062f\u0648 \u0637\u0631\u0641\u0647 \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nExplore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u063a\u06cc\u0631\u0645\u062a\u0645\u0631\u06a9\u0632 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u062f\u0648 \u0637\u0631\u0641\u0647 \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nTejas Pagare, Avishek Ghosh<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nPDF<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n19<\/td>\n<\/tr>\n
\u0644\u06cc\u0646\u06a9 \u062f\u0627\u0646\u0644\u0648\u062f \u0631\u0627\u06cc\u06af\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647<\/a><\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nMachine Learning,Computer Science and Game Theory,General Economics,Machine Learning,\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 , \u0639\u0644\u0648\u0645 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0648 \u0646\u0638\u0631\u06cc\u0647 \u0628\u0627\u0632\u06cc , \u0627\u0642\u062a\u0635\u0627\u062f \u0639\u0645\u0648\u0645\u06cc , \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 16 August, 2024; originally announced August 2024. , Comments: Accepted at International Symposium of Information Theory (ISIT) 2024<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 16 \u0627\u0648\u062a 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0627\u0648\u062a 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f. \u060c \u0646\u0638\u0631\u0627\u062a: \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0633\u0645\u067e\u0648\u0632\u06cc\u0648\u0645 \u0628\u06cc\u0646 \u0627\u0644\u0645\u0644\u0644\u06cc \u0646\u0638\u0631\u06cc\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a (ISIT) 2024<\/td>\n<\/tr>\n
\u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u0647\u0627\u06cc \u0639\u0644\u0645\u06cc <\/td>\n\n INSPIRE HEP<\/a>
\n
\n NASA ADS<\/a>
\n
\n Google Scholar<\/a>
\n
\n Semantic Scholar<\/a>
\n
\n arXiv<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

Online learning in a decentralized two-sided matching markets, where the demand-side (players) compete to match with the supply-side (arms), has received substantial interest because it abstracts out the complex interactions in matching platforms (e.g. UpWork, TaskRabbit). However, past works assume that each arm knows their preference ranking over the players (one-sided learning), and each player aim to learn the preference over arms through successive interactions. Moreover, several (impractical) assumptions on the problem are usually made for theoretical tractability such as broadcast player-arm match Liu et al. (2020; 2021); Kong & Li (2023) or serial dictatorship Sankararaman et al. (2021); Basu et al. (2021); Ghosh et al. (2022). In this paper, we study a decentralized two-sided matching market, where we do not assume that the preference ranking over players are known to the arms apriori. Furthermore, we do not have any structural assumptions on the problem. We propose a multi-phase explore-then-commit type algorithm namely epoch-based CA-ETC (collision avoidance explore then commit) (\\texttt{CA-ETC} in short) for this problem that does not require any communication across agents (players and arms) and hence decentralized. We show that for the initial epoch length of $T_{\\circ}$ and subsequent epoch-lengths of $2^{l\/\u03b3} T_{\\circ}$ (for the $l-$th epoch with $\u03b3\\in (0,1)$ as an input parameter to the algorithm), \\texttt{CA-ETC} yields a player optimal expected regret of $\\mathcal{O}\\left(T_{\\circ} (\\frac{K \\log T}{T_{\\circ} \u0394^2})^{1\/\u03b3} + T_{\\circ} (\\frac{T}{T_{\\circ}})^\u03b3\\right)$ for the $i$-th player, where $T$ is the learning horizon, $K$ is the number of arms and $\u0394$ is an appropriately defined problem gap. Furthermore, we propose a blackboard communication based baseline achieving logarithmic regret in $T$.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

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\u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u0645\u06cc \u062f\u0647\u062f (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 Upwork \u060c TaskRabbit).\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0622\u062b\u0627\u0631 \u06af\u0630\u0634\u062a\u0647 \u0641\u0631\u0636 \u0645\u06cc \u06a9\u0646\u0646\u062f \u06a9\u0647 \u0647\u0631 \u0628\u0627\u0632\u0648 \u0631\u062a\u0628\u0647 \u0627\u0648\u0644\u0648\u06cc\u062a \u062e\u0648\u062f \u0631\u0627 \u0646\u0633\u0628\u062a \u0628\u0647 \u0628\u0627\u0632\u06cc\u06a9\u0646\u0627\u0646 (\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06cc\u06a9 \u0637\u0631\u0641\u0647) \u0645\u06cc \u062f\u0627\u0646\u062f \u060c \u0648 \u0647\u0631 \u0628\u0627\u0632\u06cc\u06a9\u0646 \u0642\u0635\u062f \u062f\u0627\u0631\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u0639\u0627\u0645\u0644 \u067e\u06cc \u062f\u0631 \u067e\u06cc \u060c \u062a\u0631\u062c\u06cc\u062d \u0631\u0627 \u0628\u0631 \u0628\u0627\u0632\u0648\u0647\u0627 \u0628\u06cc\u0627\u0645\u0648\u0632\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0686\u0646\u062f\u06cc\u0646 \u0641\u0631\u0636 (\u063a\u06cc\u0631 \u0639\u0645\u0644\u06cc) \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u0642\u0627\u0628\u0644\u06cc\u062a \u062a\u063a\u06cc\u06cc\u0631 \u0646\u0638\u0631\u06cc \u0645\u0627\u0646\u0646\u062f \u0628\u0627\u0632\u06cc \u067e\u062e\u0634 \u06a9\u0646\u0646\u062f\u0647 \u0628\u0627\u0632\u0648\u06cc \u067e\u062e\u0634 \u06a9\u0646\u0646\u062f\u0647 \u0644\u06cc\u0648 \u0648 \u0647\u0645\u06a9\u0627\u0631\u0627\u0646 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.(2020 \u061b 2021) \u061b\u06a9\u0646\u06af \u0648 \u0644\u06cc (2023) \u06cc\u0627 \u062f\u06cc\u06a9\u062a\u0627\u062a\u0648\u0631\u06cc \u0633\u0631\u06cc\u0627\u0644 Sankararaman \u0648 \u0647\u0645\u06a9\u0627\u0631\u0627\u0646.(2021) \u061b\u0628\u0627\u0633\u0648 \u0648 \u0647\u0645\u06a9\u0627\u0631\u0627\u0646.(2021) \u061b\u0642\u0648\u0634 \u0648 \u0647\u0645\u06a9\u0627\u0631\u0627\u0646.(2022).\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u060c \u0645\u0627 \u06cc\u06a9 \u0628\u0627\u0632\u0627\u0631 \u062a\u0637\u0628\u06cc\u0642 \u062f\u0648 \u0637\u0631\u0641\u0647 \u063a\u06cc\u0631\u0645\u062a\u0645\u0631\u06a9\u0632 \u0631\u0627 \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0641\u0631\u0636 \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0631\u062a\u0628\u0647 \u0627\u0648\u0644\u0648\u06cc\u062a \u0646\u0633\u0628\u062a \u0628\u0647 \u0628\u0627\u0632\u06cc\u06a9\u0646\u0627\u0646 \u0628\u0647 Apriori Arms \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0645\u0627 \u0647\u06cc\u0686 \u0641\u0631\u0636\u06cc\u0647 \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0646\u062f\u0627\u0631\u06cc\u0645.\u0645\u0627 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u0648\u0639 \u0686\u0646\u062f \u0641\u0627\u0632 \u0627\u06a9\u062a\u0634\u0627\u0641-\u067e\u0633 \u0627\u0632 \u0622\u0646 \u0631\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06cc\u0639\u0646\u06cc CA-ETC \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0648\u0631\u0647 (Collision Porperance Explore \u0633\u067e\u0633 \u062a\u0639\u0647\u062f) (\\ texttt {ca-etc}) \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u06a9\u0647 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u062f\u0631 \u0628\u06cc\u0646 \u0639\u0648\u0627\u0645\u0644 \u0646\u062f\u0627\u0631\u062f (\u0628\u0627\u0632\u06cc\u06a9\u0646\u0627\u0646 \u0648 \u0628\u0627\u0632\u0648\u0647\u0627) \u0648 \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 \u063a\u06cc\u0631 \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a.\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0637\u0648\u0644 \u062f\u0648\u0631\u0647 \u0627\u0648\u0644\u06cc\u0647 $ t _ {\\ circ} $ \u0648 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc 2^{l\/\u03b3} t _ {\\ circ} $ (\u0628\u0631\u0627\u06cc \u062f\u0648\u0631\u0647 $ l- $ \u0628\u0627 $ \u03b3 \\ in (\u062f\u0631 (0\u060c1) $ \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645) \u060c \\ texttt {ca-etc} \u06cc\u06a9 \u0628\u0627\u0632\u06cc\u06a9\u0646 \u0628\u0647\u06cc\u0646\u0647 \u0627\u0632 \u067e\u0634\u06cc\u0645\u0627\u0646\u06cc \u0627\u0646\u062a\u0638\u0627\u0631 \u0645\u06cc \u0631\u0648\u062f \u0627\u0632 $ \\ mathcal {o} \\ \u0633\u0645\u062a \u0686\u067e (t _ {\\ circ} (\\ frac \\ log t \\ log t \\ log t \\ log t \\ log t \\} {t _ {\\ circ} \u0394^2})^{1\/\u03b3} + t _ {\\ circ} (\\ frac {t} {t _ {{\\ circ})^\u03b3 \\ RIGHT) $ \u0628\u0631\u0627\u06cc $ i $-\u0628\u0627\u0632\u06cc\u06a9\u0646 TH \u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 $ t $ \u0627\u0641\u0642 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a \u060c $ k $ \u062a\u0639\u062f\u0627\u062f \u0627\u0633\u0644\u062d\u0647 \u0627\u0633\u062a \u0648 $ \u03b4 $ \u06cc\u06a9 \u0634\u06a9\u0627\u0641 \u0645\u0634\u06a9\u0644 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0645\u0627 \u06cc\u06a9 \u067e\u0627\u06cc\u0647 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u062a\u062e\u062a\u0647 \u0633\u06cc\u0627\u0647 \u0631\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0647 \u067e\u0634\u06cc\u0645\u0627\u0646\u06cc \u0644\u06af\u0627\u0631\u06cc\u062a\u0645\u06cc \u062f\u0631 $ t $ \u062f\u0633\u062a \u067e\u06cc\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

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