{"id":40917,"date":"2024-09-18T16:04:19","date_gmt":"2024-09-18T16:04:19","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%88%d8%b4-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d9%88-%d8%a7%d8%b3%d8%aa%d9%86%d8%aa%d8%a7%d8%ac-%d8%b9%d9%84%db%8c\/"},"modified":"2024-09-18T12:35:08","modified_gmt":"2024-09-18T12:35:08","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%88%d8%b4-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d9%88-%d8%a7%d8%b3%d8%aa%d9%86%d8%aa%d8%a7%d8%ac-%d8%b9%d9%84%db%8c","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%88%d8%b4-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d9%88-%d8%a7%d8%b3%d8%aa%d9%86%d8%aa%d8%a7%d8%ac-%d8%b9%d9%84%db%8c\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0639\u0644\u06cc"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Artificial Intelligence and Causal Inference (Chapman &amp; Hall\/CRC Machine Learning &amp; Pattern Recognition)\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/09\/9780367859404.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Artificial Intelligence and Causal Inference (Chapman &amp; Hall\/CRC Machine Learning &amp; Pattern Recognition)\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Artificial Intelligence and Causal Inference (Chapman &amp; Hall\/CRC Machine Learning &amp; Pattern Recognition)<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2022\u00a0\u00a0|\u00a0\u00a0395 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 22 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Momiao Xiong<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Chapman and Hall \u2013 CRC<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>0367859408<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9780367859404<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">\n<p>Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major principles that give rise intelligence. One of a key component for understanding is causal inference. Causal inference includes intervention, domain shift learning, temporal structure and counterfactual thinking as major concepts to understand causation and reasoning. Unfortunately, these essential components of the causality are often overlooked by machine learning, which leads to some failure of the deep learning. AI and causal inference involve (1) using AI techniques as major tools for causal analysis and (2) applying the causal concepts and causal analysis methods to solving AI problems. The purpose of this book is to fill the gap between the AI and modern causal analysis for further facilitating the AI revolution. This book is ideal for graduate students and researchers in AI, data science, causal inference, statistics, genomics, bioinformatics and precision medicine.<\/p>\n<p>Key Features:<\/p>\n<p>Cover three types of neural networks, formulate deep learning as an optimal control problem and use Pontryagin\u2019s Maximum Principle for network training.<br \/>\nDeep learning for nonlinear mediation and instrumental variable causal analysis.<br \/>\nConstruction of causal networks is formulated as a continuous optimization problem.<br \/>\nTransformer and attention are used to encode-decode graphics. RL is used to infer large causal networks.<br \/>\nUse VAE, GAN, neural differential equations, recurrent neural network (RNN) and RL to estimate counterfactual outcomes.<br \/>\nAI-based methods for estimation of individualized treatment effect in the presence of network interference.<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u0651\u06cc \u0628\u0647 \u062a\u0648\u0633\u0639\u0647 \u0627\u062e\u06cc\u0631 \u0631\u0648\u0627\u0628\u0637 \u0628\u06cc\u0646 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (AI) \u0648 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u06cc \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u062f.\u0628\u0627 \u0648\u062c\u0648\u062f 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\u0627\u0641\u0632\u0627\u06cc\u0634 \u0647\u0648\u0634 \u0645\u06cc \u0634\u0648\u062f.\u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0624\u0644\u0641\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u060c \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u06cc \u0627\u0633\u062a.\u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u06cc \u0634\u0627\u0645\u0644 \u0645\u062f\u0627\u062e\u0644\u0647 \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u0645\u0646\u0647 \u060c \u0633\u0627\u062e\u062a\u0627\u0631 \u0632\u0645\u0627\u0646\u06cc \u0648 \u062a\u0641\u06a9\u0631 \u0636\u062f \u0639\u0645\u0644\u06cc \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0639\u0644\u06cc\u062a \u0648 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0633\u062a.\u0645\u062a\u0623\u0633\u0641\u0627\u0646\u0647 \u060c \u0627\u06cc\u0646 \u0645\u0624\u0644\u0641\u0647 \u0647\u0627\u06cc \u0627\u0633\u0627\u0633\u06cc \u0639\u0644\u06cc\u062a \u0627\u063a\u0644\u0628 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u063a\u0627\u0641\u0644 \u0645\u06cc \u0634\u0648\u0646\u062f \u060c \u06a9\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0639\u062f\u0645 \u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u06cc \u0634\u0648\u062f.\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u0651\u06cc \u0634\u0627\u0645\u0644 (1) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc AI \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0644\u06cc \u0648 (2) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0639\u0644\u06cc \u0648 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0644\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a AI \u0627\u0633\u062a.\u0647\u062f\u0641 \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u067e\u0631 \u06a9\u0631\u062f\u0646 \u0634\u06a9\u0627\u0641 \u0628\u06cc\u0646 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0644\u06cc\u062a \u0645\u062f\u0631\u0646 \u0628\u0631\u0627\u06cc \u062a\u0633\u0647\u06cc\u0644 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0646\u0642\u0644\u0627\u0628 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0648 \u0645\u062d\u0642\u0642\u0627\u0646 \u0641\u0627\u0631\u063a \u0627\u0644\u062a\u062d\u0635\u06cc\u0644 \u062f\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u060c \u0639\u0644\u0648\u0645 \u062f\u0627\u062f\u0647 \u060c \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0639\u0644\u06cc \u060c \u0622\u0645\u0627\u0631 \u060c \u0698\u0646\u0648\u0645\u06cc\u06a9 \u060c \u0628\u06cc\u0648\u0627\u0646\u0641\u0648\u0631\u0645\u0627\u062a\u06cc\u06a9 \u0648 \u067e\u0632\u0634\u06a9\u06cc \u062f\u0642\u06cc\u0642 \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0627\u0633\u062a.<\/p>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc:<\/p>\n<p>\u0633\u0647 \u0646\u0648\u0639 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0631\u0627 \u0628\u067e\u0648\u0634\u0627\u0646\u06cc\u062f \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u06a9\u0646\u062a\u0631\u0644 \u0628\u0647\u06cc\u0646\u0647 \u062a\u062f\u0648\u06cc\u0646 \u06a9\u0646\u06cc\u062f \u0648 \u0627\u0632 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0627\u0635\u0644 Pontryagin \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0645\u06cc\u0627\u0646\u062c\u06cc\u06af\u0631\u06cc \u063a\u06cc\u0631\u062e\u0637\u06cc \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0644\u06cc\u062a \u0645\u062a\u063a\u06cc\u0631 \u0627\u0628\u0632\u0627\u0631\u06cc.<br \/>\n\u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0644\u06cc \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0627\u0648\u0645 \u062a\u062f\u0648\u06cc\u0646 \u0645\u06cc \u0634\u0648\u062f.<br \/>\n\u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 \u0648 \u062a\u0648\u062c\u0647 \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0647\u0627\u06cc \u06a9\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.\u0627\u0632 RL \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0639\u0644\u06cc\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<br \/>\n\u0627\u0632 VAE \u060c GAN \u060c \u0645\u0639\u0627\u062f\u0644\u0627\u062a \u062f\u06cc\u0641\u0631\u0627\u0646\u0633\u06cc\u0644 \u0639\u0635\u0628\u06cc \u060c \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u06a9\u0631\u0631 (RNN) \u0648 RL \u0628\u0631\u0627\u06cc \u0628\u0631\u0622\u0648\u0631\u062f \u0646\u062a\u0627\u06cc\u062c \u0645\u062a\u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<br \/>\n\u0631\u0648\u0634\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0622\u0648\u0631\u062f \u0627\u062b\u0631 \u062f\u0631\u0645\u0627\u0646\u06cc \u0641\u0631\u062f\u06cc \u062f\u0631 \u062d\u0636\u0648\u0631 \u062a\u062f\u0627\u062e\u0644 \u0634\u0628\u06a9\u0647.<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. 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