An Experimental Study of Decisions in Dynamic Optimization Problems PDF Download

Author: Charles Noussair
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 92

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Author: John H. Kagel
Publisher: Princeton University Press
ISBN: 1400883172
Category : Business & Economics
Languages : en
Pages : 771

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Book Description
An indispensable survey of new developments and results in experimental economics When The Handbook of Experimental Economics first came out in 1995, the notion of economists conducting lab experiments to generate data was relatively new. Since then, the field has exploded. This second volume of the Handbook covers some of the most exciting new growth areas in experimental economics, presents the latest results and experimental methods, and identifies promising new directions for future research. Featuring contributions by leading practitioners, the Handbook describes experiments in macroeconomics, charitable giving, neuroeconomics, other-regarding preferences, market design, political economy, subject population effects, gender effects, auctions, and learning and the economics of small decisions. Contributors focus on key developments and report on experiments, highlighting the dialogue between experimenters and theorists. While most of the experiments consist of laboratory studies, the book also includes several chapters that report extensively on field experiments related to the subject area studied. Covers exciting new growth areas in experimental economics Features contributions by leading experts Describes experiments in macroeconomics, charitable giving, neuroeconomics, market design, political economy, gender effects, auctions, and more Highlights the dialogue by experimenters with theorists and each other Includes several chapters covering field experiments related to the subject area studied

Author:
Publisher:
ISBN:
Category : Management
Languages : en
Pages : 546

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Author: Warren B. Powell
Publisher: John Wiley & Sons
ISBN: 0470182954
Category : Mathematics
Languages : en
Pages : 487

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Book Description
A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades of experience working in large industrial settings to develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. This groundbreaking book uniquely integrates four distinct disciplines—Markov design processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully model and solve a wide range of real-life problems using the techniques of approximate dynamic programming (ADP). The reader is introduced to the three curses of dimensionality that impact complex problems and is also shown how the post-decision state variable allows for the use of classical algorithmic strategies from operations research to treat complex stochastic optimization problems. Designed as an introduction and assuming no prior training in dynamic programming of any form, Approximate Dynamic Programming contains dozens of algorithms that are intended to serve as a starting point in the design of practical solutions for real problems. The book provides detailed coverage of implementation challenges including: modeling complex sequential decision processes under uncertainty, identifying robust policies, designing and estimating value function approximations, choosing effective stepsize rules, and resolving convergence issues. With a focus on modeling and algorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, Approximate Dynamic Programming: Models complex, high-dimensional problems in a natural and practical way, which draws on years of industrial projects Introduces and emphasizes the power of estimating a value function around the post-decision state, allowing solution algorithms to be broken down into three fundamental steps: classical simulation, classical optimization, and classical statistics Presents a thorough discussion of recursive estimation, including fundamental theory and a number of issues that arise in the development of practical algorithms Offers a variety of methods for approximating dynamic programs that have appeared in previous literature, but that have never been presented in the coherent format of a book Motivated by examples from modern-day operations research, Approximate Dynamic Programming is an accessible introduction to dynamic modeling and is also a valuable guide for the development of high-quality solutions to problems that exist in operations research and engineering. The clear and precise presentation of the material makes this an appropriate text for advanced undergraduate and beginning graduate courses, while also serving as a reference for researchers and practitioners. A companion Web site is available for readers, which includes additional exercises, solutions to exercises, and data sets to reinforce the book's main concepts.

Author:
Publisher: Springer
ISBN: 1349588024
Category : Law
Languages : en
Pages : 7493

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Book Description
The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.

Author: Steven Durlauf
Publisher: Springer
ISBN: 0230280781
Category : Business & Economics
Languages : en
Pages : 279

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Book Description
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.

Author: Simon Kemp
Publisher: Routledge
ISBN: 1317980069
Category : Business & Economics
Languages : en
Pages : 221

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Book Description
The last ten years have seen an enormous surge of interest in issues that are common to psychology and economics. How do people make decisions about economic issues? How should they make such decisions? Does public policy or regulation succeed in its aim of helping people make these decisions? What situations aid cooperation? This volume explores some of the ways in which economists and psychologists have tried to answer these questions. The authors are an international mix of economists and psychologists, and as such they demonstrate a diverse range of approaches to tackling different aspects of these issues. This is a frontier area for both psychology and economics, and consequently it is relatively free, lawless and, above all, exciting. This collection reflects the diversity and energy that characterise this rapidly growing interdisciplinary field. This book was originally published as a special issue of New Zealand Economic Papers.

Author: Riccardo Zoppoli
Publisher: Springer Nature
ISBN: 3030296938
Category : Technology & Engineering
Languages : en
Pages : 532

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Book Description
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.

Author: University of Michigan--Dearborn
Publisher:
ISBN:
Category :
Languages : en
Pages : 228

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Book Description

Author: Oscar Castillo
Publisher: Springer Nature
ISBN: 3030687767
Category : Technology & Engineering
Languages : en
Pages : 383

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Book Description
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.