Artificial intelligence in economics and finance theories / by Tankiso Moloi ; Tshilidzi Marwala

PPN : 248395076Main Author : Moloi, TankisoCoauthor : Marwala, Tshilidzi (1971-....) Publication : Cham : Springer, 2020ISBN : 978-3-030-42962-1Note : Numérisation de l'édition : Cham : Springer, 2020Belong to the serie : Advanced information and knowledge processing (Internet)Other edition on other media : Artificial Intelligence in Economics and Finance Theories Other edition on other media : Artificial Intelligence in Economics and Finance Theories Other edition on other media : Artificial Intelligence in Economics and Finance Theories Subject - Topical Name : Artificial intelligence | Economic theory | Computers | Intelligence artificielle -- Finances | Économie politique -- Simulation par ordinateur Online access : https://search-ebscohost-com.passerelle.univ-rennes1.fr/login.aspx?direct=true&db=nlebk&AN=2468595&lang=fr&site=eds-liveDocument type : ebook List(s) this item appears in: BUB - 14 mars 2021 : journée du nombre Pi
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Numérisation de l'édition : Cham : Springer, 2020

La pagination de l'édition imprimée correspondante est de : 125 pages

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352382106:695050532 Accessible sur EBSCOhost

Index

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. 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 purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for "the planner" to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

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