Economic Modeling Using Artificial Intelligence Methods


Economic Modeling Using Artificial Intelligence Methods
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Economic Modeling Using Artificial Intelligence Methods


Economic Modeling Using Artificial Intelligence Methods
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-02

Economic Modeling Using Artificial Intelligence Methods written by Tshilidzi Marwala and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-02 with Computers categories.


Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.



Artificial Intelligence And Economic Analysis


Artificial Intelligence And Economic Analysis
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Author : Scott J. Moss
language : en
Publisher: Edward Elgar Publishing
Release Date : 1992-01-01

Artificial Intelligence And Economic Analysis written by Scott J. Moss and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01-01 with Business & Economics categories.


This important book presents new and original work at the frontiers of economics, namely the interface between artificial intelligence (AI) and neoclassical economics. Artificial Intelligence and Economic Analysis focuses on three quite distinct lines of AI orientated research in economics: applications intended to extend neoclassical theory, applications intended to undermine neoclassical theory and applications which ignore neoclassical theory in the quest for new modelling techniques and fields of analysis. The contributors - all of whom are well established in the field - do not simply report established results but seek to identify those areas where the science of artificial intelligence could enrich standard economic analysis. It includes material from mainstream economists who are willing to express their own views about the limits of mainstream economic modelling and AI based economic modelling. The book makes an important contribution to a new and exciting area of economics which holds much hope for the future.



How Artificial Intelligence Ai Can Help In The Economic Modelling


How Artificial Intelligence Ai Can Help In The Economic Modelling
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Author : Mario Arturo Ruiz Estrada
language : en
Publisher:
Release Date : 2023

How Artificial Intelligence Ai Can Help In The Economic Modelling written by Mario Arturo Ruiz Estrada and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.


This paper is interested to evaluate how artificial intelligence (AI) can help in the economic modeling. The fast development of AI, big data, data sciences, neural networks, and graphical models is opening opportunities to Economists and Academics to a new era under the uses of these alternative technologies. However, AI can replace the traditional way how we analyze and solve economic problems. In our case, this research presents an alternative economic method under the presentation of an application (theoretical framework) that is using AI, big data, data sciences, neural networks, and Econographicology simultaneously. The new electronic application is called “The Autonomous Economic Decision Maker Simulator (AEDM-Simulator). Finally, we introduce the AEDM-Simulator theoretical framework and a few examples of how to use the AEDM-Simulator to solve any economic issue(s). The AEDM-Simulator is used as a main database based on the uses of all volumes (39) and issues (250) from the Journal of Economic Modelling (JEM) published by Elsevier in the last past thirt-nine years (1984-2023).



Information And Communication Technologies Ict In Economic Modeling


Information And Communication Technologies Ict In Economic Modeling
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Author : Federico Cecconi
language : en
Publisher: Springer
Release Date : 2019-07-30

Information And Communication Technologies Ict In Economic Modeling written by Federico Cecconi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-30 with Business & Economics categories.


This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy. The text explores modeling and applications in these fields and also describes, in a clear and accessible manner, the theories that guide the integration among information technology (IT), telecommunications, and the economy, while presenting examples of their applications. Current trends such as artificial intelligence, machine learning, and big data technologies used in economics are also included. This volume is suitable for researchers, practitioners, and students working in economic theory and the computational social sciences.



Artificial Economics


Artificial Economics
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Author : Ruben Mercado
language : en
Publisher: Cambridge University Press
Release Date : 2021-11-04

Artificial Economics written by Ruben Mercado and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Business & Economics categories.


An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.



The Economics Of Artificial Intelligence


The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-05

The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Business & Economics categories.


A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.



Artificial Intelligence And Economic Theory Skynet In The Market


Artificial Intelligence And Economic Theory Skynet In The Market
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Author : Tshilidzi Marwala
language : en
Publisher: Springer
Release Date : 2017-09-18

Artificial Intelligence And Economic Theory Skynet In The Market written by Tshilidzi Marwala and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Computers categories.


This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.



Artificial Economics


Artificial Economics
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Author : Ces Reo Hern Ndez
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-28

Artificial Economics written by Ces Reo Hern Ndez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-28 with categories.


Simulation is used in economics to solve large econometric models, for large-scale micro simulations, and to obtain numerical solutions for policy design in top-down established models. But these applications fail to take advantage of the methods offered by artificial economics (AE) through artificial intelligence and distributed computing. AE is a bottom-up and generative approach of agent-based modelling developed to get a deeper insight into the complexity of economics. AE can be viewed as a very elegant and general class of modelling techniques that generalize numerical economics, mathematical programming and micro simulation approaches. The papers presented in this book address methodological questions and applications of AE to macroeconomics, industrial organization, information and learning, market dynamics, finance and financial markets.



Artificial Intelligence Learning And Computation In Economics And Finance


Artificial Intelligence Learning And Computation In Economics And Finance
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Author : Ragupathy Venkatachalam
language : en
Publisher:
Release Date : 2023

Artificial Intelligence Learning And Computation In Economics And Finance written by Ragupathy Venkatachalam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.


This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, 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 pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.



Applications Of Artificial Intelligence In Finance And Economics


Applications Of Artificial Intelligence In Finance And Economics
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Author : J.M. Binner
language : en
Publisher: Elsevier
Release Date : 2004-12-14

Applications Of Artificial Intelligence In Finance And Economics written by J.M. Binner and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-14 with Business & Economics categories.


The result of the selection of papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence'. This volume will appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems.