Computational Intelligence Paradigms in Economic and Financial Decision Making
Computational Intelligence Paradigms in Economic and Financial Decision Making

Author: Marina Resta

Publisher: Springer

Published: 2015-10-14

Total Pages: 183

ISBN-13: 3319214403

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The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.

Operations Research Applications in Health Care Management
Operations Research Applications in Health Care Management

Author: Cengiz Kahraman

Publisher: Springer

Published: 2017-12-08

Total Pages: 596

ISBN-13: 3319654551

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This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

Personality Traits and Drug Consumption
Personality Traits and Drug Consumption

Author: Elaine Fehrman

Publisher: Springer

Published: 2019-04-26

Total Pages: 171

ISBN-13: 3030104427

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This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs. The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.

Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security
Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security

Author: Kunjumuhammed, Siraj Kariyilaparambu

Publisher: IGI Global

Published: 2024-08-01

Total Pages: 386

ISBN-13:

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Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.

Artificial Intelligence Techniques for Rational Decision Making
Artificial Intelligence Techniques for Rational Decision Making

Author: Tshilidzi Marwala

Publisher: Springer

Published: 2014-10-20

Total Pages: 178

ISBN-13: 3319114247

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Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

Financial Decision Making Using Computational Intelligence
Financial Decision Making Using Computational Intelligence

Author: Michael Doumpos

Publisher: Springer Science & Business Media

Published: 2012-07-23

Total Pages: 336

ISBN-13: 1461437733

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The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author: El Bachir Boukherouaa

Publisher: International Monetary Fund

Published: 2021-10-22

Total Pages: 35

ISBN-13: 1589063953

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This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Computational Intelligence in Business and Economics
Computational Intelligence in Business and Economics

Author: Ana María Gil Lafuente

Publisher: World Scientific

Published: 2010

Total Pages: 836

ISBN-13: 9814324442

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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