Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance PDF Author: Paul P. Wang
Publisher: Springer Science & Business Media
ISBN: 354072821X
Category : Computers
Languages : en
Pages : 232

Get Book Here

Book Description
Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.

Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance PDF Author: Paul P. Wang
Publisher: Springer Science & Business Media
ISBN: 354072821X
Category : Computers
Languages : en
Pages : 232

Get Book Here

Book Description
Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence PDF Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

Get Book Here

Book Description
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.

Computational Economics: A Perspective from Computational Intelligence

Computational Economics: A Perspective from Computational Intelligence PDF Author: Chen, Shu-Heng
Publisher: IGI Global
ISBN: 159140651X
Category : Business & Economics
Languages : en
Pages : 318

Get Book Here

Book Description
"This book identifies the economic as well as financial problems that may be solved efficiently with computational methods and explains why those problems should best be solved with computational methods"--Provided by publisher.

Computational Intelligence for Business Analytics

Computational Intelligence for Business Analytics PDF Author: Witold Pedrycz
Publisher: Springer Nature
ISBN: 3030738191
Category : Technology & Engineering
Languages : en
Pages : 417

Get Book Here

Book Description
Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence PDF Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher: Springer Nature
ISBN: 3030730573
Category : Computers
Languages : en
Pages : 472

Get Book Here

Book Description
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

Computational Intelligence in Business and Economics

Computational Intelligence in Business and Economics PDF Author: Ana María Gil Lafuente
Publisher: World Scientific
ISBN: 9814324442
Category : Business & Economics
Languages : en
Pages : 836

Get Book Here

Book Description
Hybrid modelling of capillary distribution system in the food chain of different locations south of Bogota / Oscar Javier Herrera Ochoa. Modelling and simulation as integrated tool for research and development / Florin Ionescu -- pt. 7. Applications in other fields. Approach of evaluation of environmental impacts using backpropagation neural network / Jelena Jovanovic [und weitere]. Projecting demographic scenarios for a southern elephant seal population / Mariano A. Ferrari, Claudio Campagna, Mirtha N. Lewis. Effect of heat input and environmental temperature on the welding residual stresses using ANSYS APDL program comparison with experimental results / Nazhad A. Hussein. Sphalerite dissolution activity in the presence of sulphuric acid by using the Pitzer's model / Begar Abdelhakim [und weitere]. Fast Fourier transform ensemble Kalman filter with application to a coupled atmosphere-wildland fire model / Jan Mandel, Jonathan D. Beezley, Volodymyr Y. Kondratenko. Magnetic field effect on the near and far cylinder wakes / M. Aissa, A. Bouabdallah, H. Oualli. Stability theory methods in modelling problems / Lyudmila K. Kuzmina

Computational Intelligence in Business Analytics

Computational Intelligence in Business Analytics PDF Author: Les Sztandera
Publisher: Pearson Education
ISBN: 013355208X
Category : Business & Economics
Languages : en
Pages : 155

Get Book Here

Book Description
Using computational intelligence methods, you can drive far more value from business analytics, and account far more effectively for the real-world uncertainties and complexities you face in making key decisions. This text teaches you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. This book illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. This text demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone. To demonstrate these techniques at work, this book is packed with relevant case studies and examples.

Artificial Intelligence in Economics and Finance Theories

Artificial Intelligence in Economics and Finance Theories PDF Author: Tankiso Moloi
Publisher: Springer Nature
ISBN: 3030429628
Category : Computers
Languages : en
Pages : 131

Get Book Here

Book Description
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.

Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance PDF Author: Paul P. Wang
Publisher: Springer
ISBN: 9783540440987
Category : Business & Economics
Languages : en
Pages : 480

Get Book Here

Book Description
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.

Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance PDF Author: Paul P. Wang
Publisher: Springer
ISBN: 9783540838968
Category : Computers
Languages : en
Pages : 228

Get Book Here

Book Description
Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.