Economic Modeling Using Artificial Intelligence Methods

Economic Modeling Using Artificial Intelligence Methods

Author: Tshilidzi Marwala

Publisher: Springer Science & Business Media

Published: 2013-04-02

Total Pages: 271

ISBN-13: 1447150104

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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.


Railroad Issues

Railroad Issues

Author: National Research Council (U.S.). Transportation Research Board

Publisher: Transportation Research Board National Research

Published: 1992

Total Pages: 104

ISBN-13:

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2016 IEEE MTT S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)

2016 IEEE MTT S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)

Author: IEEE Staff

Publisher:

Published: 2016-07-27

Total Pages:

ISBN-13: 9781467387637

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NEMO2016 brings together experts and practitioners of electromagnetic and mul tiphysics based modeling, simulation and optimization for RF, microwave and terahertz applications This conference is an ideal forum to share new ideas on techniques for electromagnetic and multiphysics modeling, propose efficient design algorithms and tools, and anticipate the modeling analysis needs of future technologies and applica tions Papers using numerical or multi physics computational methods in unique ways for microwave component or system analysis are encouraged


Quantum Structures in Cognitive and Social Science

Quantum Structures in Cognitive and Social Science

Author: Diederik Aerts

Publisher: Frontiers Media SA

Published: 2016-06-26

Total Pages: 170

ISBN-13: 2889198766

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Traditional approaches to cognitive psychology correspond with a classical view of logic and probability theory. More specifically, one typically assumes that cognitive processes of human thought are founded on the Boolean structures of classical logic, while the probabilistic aspects of these processes are based on the Kolmogorovian structures of classical probability theory. However, growing experimental evidence indicates that the models founded on classical structures systematically fail when human decisions are at stake. These experimental deviations from classical behavior have been called `paradoxes’, `fallacies’, `effects’ or `contradictions’, depending on the specific situation where they appear. But, they involve a broad spectrum of cognitive and social science domains, ranging from conceptual combination to decision making under uncertainty, behavioral economics, and linguistics. This situation has constituted a serious drawback to the development of various disciplines, like cognitive science, linguistics, artificial intelligence, economic modeling and behavioral finance. A different approach to cognitive psychology, initiated two decades ago, has meanwhile matured into a new domain of research, called ‘quantum cognition’. Its main feature is the use of the mathematical formalism of quantum theory as modeling tool for these cognitive situations where traditional classically based approaches fail. Quantum cognition has recently attracted the interest of important journals and editing houses, academic and funding institutions, popular science and media. Specifically, within a quantum cognition approach, one assumes that human decisions do not necessarily obey the rules of Boolean logic and Kolmogorovian probability, and can on the contrary be modeled by the quantum-mechanical formalism. Different concrete quantum-theoretic models have meanwhile been developed that successfully represent the cognitive situations that are classically problematical, by explaining observed deviations from classicality in terms of genuine quantum effects, such as `contextuality’, `emergence’, `interference’, `superposition’, `entanglement’ and `indistinguishability’. In addition, the validity of these quantum models is convincingly confirmed by new experimental tests. We also stress that, since the use of a quantum-theoretic framework is mainly for modeling purposes, the identification of quantum structures in cognitive processes does not presuppose (without being incompatible with it) the existence of microscopic quantum processes in the human brain. In this Research Topic, we review the major achievements that have been obtained in quantum cognition, by providing an accurate picture of the state-of-the-art of this emerging discipline. Our overview does not pretend to be either complete or exhaustive. But, we aim to introduce psychologists and social scientists to this challenging new research area, encouraging them, at the same time, to consider its promising results. It is our opinion that, if continuous progress in this domain can be realized, quantum cognition can constitute an important breakthrough in cognitive psychology, and potentially open the way towards a new scientific paradigm in social science.


The Prescribing Pharmacist

The Prescribing Pharmacist

Author: Dr Barry Strickland-Hodge

Publisher: M&K Update Ltd

Published: 2019-08-02

Total Pages: 137

ISBN-13: 1910451533

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Prescribing has traditionally been the responsibility of medical doctors but independent prescribing courses are now firmly established in the UK and increasing numbers of healthcare professionals have taken on prescribing responsibilities. The Prescribing Pharmacist reflects these changes, beginning with an overview of pharmacist prescribing and continuing with an exploration of consultation, patient clinical assessment, team working, and understanding cultural and religious issues and ethics. Internal and external influences on the new prescriber are considered, as well as medicines optimisation. The authors also look at prescribing for specific patient groups, such as the elderly, the very young, pregnant women and breast-feeding women, and finally move on to specific medicines that require special care when prescribing. Each chapter of the book refers and links to the Royal Pharmaceutical Society framework written in 2016, A Competency Framework for All Prescribers, which is reproduced, with permission. Written by a team of pharmacy experts, this book is intended for any pharmacist who is thinking of becoming an independent prescriber, those on pharmacy courses and those who are already qualified as independent or supplementary pharmacist prescribers, who may use it as a reminder of important points covered on their course. Contents include: • List of abbreviations • An introduction to pharmacist prescribing • The consultation, diagnostic process, diagnosis and influences on prescribing • Patient clinical assessment • Patient partnership and prescribing • Prescribing for specific groups of patients • Medicines requiring particular care when prescribing • Appendix 1: A Competency Framework for All Prescribers