Titlebook: Artificial Intelligence and Economic Theory: Skynet in the Market; Tshilidzi Marwala,Evan Hurwitz Book 2017 Springer International Publish

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Mechanism Design,with sets of rules and a pay-off reaches equilibrium. Mechanism design is the inverse of that, we know what the end-state should look like and our task is to identify the rules and pay-off function which will ensure that the desired end-state is achieved. This is done by assuming that the agents in

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Portfolio Theory,esultant application within the trading community. The application of artificial intelligence (AI) to portfolio theory and management have broad and far-reaching consequences. AI techniques allow us to model price movements with much greater accuracy than the random-walk nature of the original Marko

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Counterfactuals,laws that govern the relationships between the antecedent and the consequent, that maximizes the attainment of the desired consequent. In counterfactual thinking, factual statements like: ‘Greece was not financially prudent and consequently its finances are in tatters’, and with its counterfactual b

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Financial Engineering,igence (AI). This chapter explores how subjects such as evolution, deep learning and big data are changing the effectiveness of quantitative finance. This chapter explores the problem of estimating HIV risk, simulating the stock market using multi-agent systems, applying control systems for inflatio

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Causality,n beings, we have perceived causality through correlation. Because of this fact, causality has often been confused for correlation. This chapter studies the evolution of causality including the influential work of David Hume and its relevance to economics and finance. It studies various concepts and

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Future Work,ressed in this book such as rational expectations and choice, bounded rationality, behavioral economics, information asymmetry, game theory, pricing, efficient market hypothesis, mechanism design, portfolio theory, rational counterfactuals, financial engineering and causality. Additionally, it evalu

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