Titlebook: Artificial Intelligence, Learning and Computation in Economics and Finance; Ragupathy Venkatachalam Book 2023 The Editor(s) (if applicable

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https://doi.org/10.1007/978-4-431-54795-2tes to experimental economics and behavioral economics. Herbert Simon founded behavioral economics and developed the concept of bounded rationality arising from the limits of knowledge of agents, the epistemological problem. He saw these as arising both from lack of knowledge but also from deeper co

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Studies in Computational Intelligencetate(s) of the system, and a second one for the parameters. The former consists of a meanwhile well-known particle approximation of the likelihood, while for the latter I implement a generic SMC algorithm designed along the lines of Del Moral et al. (.). In an application to a well-studied financial

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https://doi.org/10.1007/978-3-662-45620-0ion sciences. The focus is centered on the precision and reliability of information and the broad definition of rationality. The main thesis advanced is that the roots of behavioral anomalies are the imprecision and reliability of information. We propose a general framework that subsumes efficient a

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Studies in Computational Intelligence’s. In reality, unfortunately, there is no longer a held “generality” by any means, as Leon Walras firstly expected. To depict the modern market, it may be not only inappropriate but also boldly far-reaching for us to discuss the market in general. Fortunately, we recently acquired two major technol

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Urszula Stańczyk,Lakhmi C. Jain discover and exercise their influences on market price. To examine whether inequality in subjects’ market performance can be attributed to the heterogeneity of their cognitive capacity, we adopt a single-subject experimental design and inspect whether subjects can discover and exercise their market

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