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Progress in artificial economics : computational and agent-based models
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ISBN: 3642139469 9786612925467 3642139477 1282925466 9783642139468 Year: 2010 Publisher: Berlin ; New York : Springer,

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Abstract

Artificial economics aims to provide a generative approach to understanding problems in economics and social sciences. It is based on the consistent use of agent-based models and computational techniques. It encompasses a rich variety of techniques that generalize numerical analysis, mathematical programming, and micro-simulations. The peer-reviewed contributions in this volume address applications of artificial economics to markets and trading, auctions, networks, management, industry sectors, macroeconomics, and demographics and culture.


Book
Introduction to agent-based economics / ed. by Mauro Gallegati, Antonio Palestrini, Alberto Russo
Authors: --- ---
ISBN: 0128039035 0128038349 9780128038345 9780128039038 Year: 2017 Publisher: London: Academic press,

Computational economics
Authors: --- ---
ISBN: 9780691125497 069112549X 1400841348 Year: 2006 Publisher: Princeton: Princeton university press,

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The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. 'Computational Economics' contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students., Organized by economic topics, Progresses from simple to more complex models, Includes instructions on numerous software systems, Encourages customization and creativity

Data and metadata reporting and presentation handbook.
Authors: ---
ISBN: 1281745855 9786611745851 9264030336 9264030328 Year: 2007 Publisher: Paris : Organisation for Economic Co-operation and Development,

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This publication contains guidelines and recommended best practice for the presentation of statistical data and metadata disseminated by national agencies and international organizations in various dissemination media. The handbook brings together in one publication relevant presentation guidelines embodied in existing international statistical standards where they exist. The handbook also presents for a standard set of terminologies and guidelines for the presentation of growth rates, indices and seasonally adjusted data developed by the OECD Short-term Economic Statistics Working Party.--Publisher's description.


Book
The Nexus between Artificial Intelligence and Economics
Authors: ---
ISBN: 3642336477 3642336485 Year: 2013 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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The manuscript reviews some key ideas about artificial intelligence, and relates them to economics. These include its relation to robotics, and the concepts of synthetic emotions, consciousness, and life. The economic implications of the advent of artificial intelligence, such as its effect on prices and wages, appropriate patent policy, and the possibility of accelerating productivity, are discussed. The growing field of artificial economics and the use of artificial agents in experimental economics is considered.


Book
Digitalization in open economies : theory and policy implications
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ISBN: 3790828165 3790823910 9786612832017 3790823953 3790823929 1282832018 Year: 2010 Publisher: Heidelberg : Springer Verlag,

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Digital strings are not visible, but affect all economic segments. This book studies the phenomenon of digitalization with the instruments of economics in order to explore the interdependencies between digitalization, economic policy, and macroeconomic variables of open economies. Digitalization is separated into the three components networks, IT services, and digital goods which are then incorporated into macroeconomic models of trade theory in open economies. This approach allows to formally describe the cross-effects between digitalization and macroeconomic variables of a country. Specifically, it is used to analyze interdependencies between macroeconomic variables and networks, IT services, and digital goods, and to determine the challenges of digitalization for economic policy and regulation.

Computational intelligence in economics and finance.
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ISBN: 3642091938 3540728201 9786610951772 128095177X 354072821X Year: 2007 Publisher: Berlin : Springer,

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Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains 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. Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.

Keywords

Economics -- Data processing. --- Economics, Mathematical. --- Economics. --- Finance -- Data processing. --- Mechanical Engineering --- Engineering & Applied Sciences --- Business & Economics --- Economic Theory --- Computer Science --- Mechanical Engineering - General --- Information Technology --- Artificial Intelligence --- Economics --- Finance --- Data processing. --- Mathematical economics --- Mathematics --- Computer science. --- Finance. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Finance, general. --- Computer Appl. in Administrative Data Processing. --- Information Systems Applications (incl. Internet). --- Econometrics --- Methodology --- Information systems. --- Artificial Intelligence. --- Funding --- Funds --- Currency question --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Artificial intelligence --- Financial applications. --- Data processing


Book
Soft computing in economics and finance
Author:
ISBN: 3642423264 3642177182 9786613084132 3642177190 1283084139 Year: 2011 Publisher: Berlin : Springer,

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Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author  new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return.   In this book,  this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.

Keywords

Economics -- Data processing. --- Fuzzy systems. --- Soft computing. --- Engineering & Applied Sciences --- Computer Science --- Business enterprises --- Finance --- Mathematical models. --- Systems, Fuzzy --- Engineering. --- Operations research. --- Decision making. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Operation Research/Decision Theory. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Technology --- Decision making --- System analysis --- Fuzzy logic --- Cognitive computing --- Computational intelligence --- Artificial Intelligence. --- Operations Research/Decision Theory.


Book
Artificial intelligence in economics and management
Author:
ISBN: 0444879617 9780444879615 Year: 1986 Publisher: Amsterdam : North-Holland,

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