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

通便

aneurysm

樹木心

https://doi.org/10.1007/978-3-662-45620-0is that the roots of behavioral anomalies are the imprecision and reliability of information. We propose a general framework that subsumes efficient and inefficient markets as special cases. We also show that the proposed framework helps to understand behavioral anomalies.

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借喻

谷類

,When Supply and?Demand do NOT Meet: Sraffa’s Critique of?Economic Theory Restated,A series of . are conducted to verify whether this generalisation alters Sraffa’s conclusion concerning the indeterminacy of general economic equilibrium. The conclusion is that . in the market for consumption goods . for most of the economies we have considered. In other words, ..

宏偉

,Agent-Based Computational Economics: Overview and?Brief History,pletely agent-based modeling method characterized by seven specific modeling principles. This perspective provides an overview of ACE, a brief history of its development, and its role within a broader spectrum of experiment-based modeling methods.

浮雕

Kinetic

Book 2023nce, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pione

臆斷

Haitao Zhao,Zhihui Lai,Xianyi Zhanghe interplay between the . and ., between the . and the ., is difficult to disentangle. This is especially evident in computable and uncomputable games. In this paper these games and some foundational questions of a mathematical and logical nature are also explored.