عرض عادي

Artificial intelligence and economic theory: skynet in the market / by Tshilidzi Marwala, Evan Hurwitz.

بواسطة:المساهم (المساهمين):نوع المادة : نصنصاللغة: الإنجليزية السلاسل:Advanced Information and Knowledge Processingالناشر:Cham : Springer International Publishing : Imprint: Springer, 2017الطبعات:1st ed. 2017وصف:xii, 204 pages : illustrations ; 24 cmنوع المحتوى:
  • text
نوع الوسائط:
  • unmediated
نوع الناقل:
  • volume
تدمك:
  • 9783319661049
الموضوع:تصنيف مكتبة الكونجرس:
  • Q335 .M379 2017
المحتويات:
Introduction to Man and Machines -- Supply and Demand -- Rational Choice and Rational Expectations -- Bounded Rationality -- Behavioral Economics -- Information Asymmetry -- Game Theory -- Pricing -- Efficient Market Hypothesis -- Mechanism Design -- Portfolio Theory -- Counterfactuals -- Financial Engineering -- Causality -- Future Work -- Appendices -- Index.
ملخص:This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رقم النسخة حالة تاريخ الإستحقاق الباركود
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة Q335 .M379 2017 (إستعراض الرف(يفتح أدناه)) C.1 Library Use Only | داخل المكتبة فقط 30030000001645
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة Q335 .M379 2017 (إستعراض الرف(يفتح أدناه)) C.2 المتاح 30030000001646

Introduction to Man and Machines -- Supply and Demand -- Rational Choice and Rational Expectations -- Bounded Rationality -- Behavioral Economics -- Information Asymmetry -- Game Theory -- Pricing -- Efficient Market Hypothesis -- Mechanism Design -- Portfolio Theory -- Counterfactuals -- Financial Engineering -- Causality -- Future Work -- Appendices -- Index.

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

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