An Experimental Study of Decisions in Dynamic Optimization Problems PDF Download

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

View

Book Description

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

View

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

View

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

View

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

View

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

View

Book Description

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

View

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: Eldad Yechiam
Publisher: Frontiers E-books
ISBN: 2889191508
Category :
Languages : en
Pages : 179

View

Book Description
In experience-based decisions people learn to make decisions by sampling the relevant alternatives and getting feedback. The study of experience-based decisions has recently revealed some robust regularities that differ from how people make decisions based on descriptions. For example, people were found to underweight small probability events in experience-based decisions, while overweighting them in decisions based on descriptions (i.e. where the participants have full information about the outcome distributions but no feedback). This is now commonly referred to as the description-experience gap. In parallel to the recent advancement in Decision Science, neuroscientists have for a long while used the experience-based decisions paradigm for analyzing brain-behavior interactions. For example, phenomena such as the feedback-based Error-Related Negativity (fERN) in event-related potentials and the role of non-declarative knowledge in selecting advantageously were discovered using experience-based tasks. The goal of the current Research Topic is to combine two sources of knowledge concerning experience-based decisions: State of the art models in decision science, and neuroscientific and psychophysiological approaches that shed light on the working of the brain in these decisions. Also relevant are process-based analyses of fractions of behavior in these types of decisions. We consider original empirical work and theoretical analyses of existing datasets.

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

View

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: Jaroslav Zajac
Publisher: Springer Science & Business Media
ISBN: 3540326952
Category : Business & Economics
Languages : en
Pages : 274

View

Book Description
This book analyzes the existence of equilibria in economies having a measured space of agents and a continuum of agents and commodities. Excessive homogeneity with respect to agent productivity leads to instability and non-uniqueness of a given stationary state and the indeterminacy of the corresponding stationary state equilibrium. Sufficient heterogeneity leads to global saddle-path stability, uniqueness of a given stationary state and the global uniqueness of the corresponding equilibrium.