Titlebook: Artificial Intelligence in Economics and Finance Theories; Tankiso Moloi,Tshilidzi Marwala Book 2020 Springer Nature Switzerland AG 2020 A

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Book 2020hings. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the pur

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Introduction to Artificial Intelligence in Economics and Finance Theories,ctor Theory, the Dynamic Inconsistent Theory; the Phillips Curve, the Laffer Curve, the Adverse Selection Theory, the Moral Hazard Theory; the Creative Destruction Theory, the Agency Theory, and the Legitimacy Theory and the Legitimacy Gap. Chapter . is provides the summary and conclusion.

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https://doi.org/10.1007/978-3-322-92435-3is changing the field of finance and economics, particularly some of the key theories embedded in this field. Further, the chapter outlines the 13 chapters that are covered in this book. Following the introductory chapter, the book discusses the Solow Growth Theory, the Ricardian Theory, the Dual-Se

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Familie in der modernen Gesellschaft,steady growth path phenomenon and the cutting edge growth path phenomenon. Further, this chapter introduces artificial intelligence (AI) by presenting two scenarios that seek to explain how AI could affect the growth model as we understand it. In the era of artificial intelligence, where a considera

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Intra- und intergenerationale Beziehungen,nderlying assumptions. We do this to lay the ground for understanding the critical pillars of the model. In essence, the Ricardian Model assumed two countries, producing two goods that are homogeneous across countries and firms within an industry. In this theory, labour is the main factor of product

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