Artificial Intelligence Learning And Computation In Economics And Finance
DOWNLOAD
Download Artificial Intelligence Learning And Computation In Economics And Finance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Learning And Computation In Economics And Finance book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence Learning And Computation In Economics And Finance
DOWNLOAD
Author : Ragupathy Venkatachalam
language : en
Publisher: Springer Nature
Release Date : 2023-02-15
Artificial Intelligence Learning And Computation In Economics And Finance written by Ragupathy Venkatachalam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Science 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.
The Economics Of Artificial Intelligence
DOWNLOAD
Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-14
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 2024-03-14 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.
The Essentials Of Machine Learning In Finance And Accounting
DOWNLOAD
Author : Mohammad Zoynul Abedin
language : en
Publisher: Routledge
Release Date : 2021-06-20
The Essentials Of Machine Learning In Finance And Accounting written by Mohammad Zoynul Abedin and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-20 with Business & Economics categories.
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Simulation In Computational Finance And Economics
DOWNLOAD
Author : Biliana Alexandrova-Kabadjova
language : en
Publisher:
Release Date : 2013
Simulation In Computational Finance And Economics written by Biliana Alexandrova-Kabadjova and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.
Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.
Economic Modeling Using Artificial Intelligence Methods
DOWNLOAD
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 In Economics And Finance Theories
DOWNLOAD
Author : Tankiso Moloi
language : en
Publisher: Springer Nature
Release Date : 2020-05-07
Artificial Intelligence In Economics And Finance Theories written by Tankiso Moloi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-07 with Computers categories.
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.
Evolutionary Computation In Economics And Finance
DOWNLOAD
Author : Shu-Heng Chen
language : en
Publisher: Physica
Release Date : 2013-11-11
Evolutionary Computation In Economics And Finance written by Shu-Heng Chen and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.
After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.
Artificial Economics
DOWNLOAD
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.
Artificial Intelligence And Economic Theory Skynet In The Market
DOWNLOAD
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.
The Paradigm Shift From A Linear Economy To A Smart Circular Economy
DOWNLOAD
Author : Mansoor Alaali
language : en
Publisher: Springer Nature
Release Date : 2025-07-28
The Paradigm Shift From A Linear Economy To A Smart Circular Economy written by Mansoor Alaali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Technology & Engineering categories.
The concept of the circular economy has attracted the attention of scholars, researchers, professionals, and policymakers in recent years. The notion is characterised as an economy that intends to keep products, stocks, work in progress and materials at their highest utility and value continually, distinguishing between their technical and biological cycles. It is devised as a continuous positive development cycle that reserves and improves natural resources, optimizes outputs, and minimizes supply chain related risks by overseeing limited stocks and renewable flows of the stocks. Several legislations and policies are being developed to motivate and integrate SDGs and net zero-related approaches in companies, among which the circular economy (CE) is gaining momentum due to its documented impact on the elements of the SDGs and net zero. Efficient management of resources and utility via artificial intelligence is vital towards a smart circular economy by minimising waste/losses, pollution, and extraction of virgin resources. It is important to note that there is a difference between smart and traditional circular economies. This book focuses on the former and makes distinctions in terms of how technology systems and solutions can be effectively and efficiently implemented. This book “The Paradigm Shift from a Linear Economy to a Smart Circular Economy: The Role of Artificial Intelligence-Enabled Systems, Solutions and Legislations” discusses the transition from linear to smart circular economy by dissecting the role of artificial intelligence and other technologies such as big data, IoT and blockchain in such transformations. The book further aims to provide a platform for researchers, professionals, and students to closely investigate, discuss and examine the theories, philosophies, ontologies and the role of governments, policymakers, and businesses in supporting the transition to a smart economy via national initiatives, fiscal policies, and corporate governance. The book highlights the need for collaborative efforts between various actors including the private and public sectors through cross-disciplinary approaches to attain, maintain and sustain a smart circular economy.