Preferences, Uncertainty, And Optimality

Preferences, Uncertainty, And Optimality PDF Author: John S Chipman
Publisher: Westview Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 328

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Book Description

Preferences, Uncertainty, And Optimality

Preferences, Uncertainty, And Optimality PDF Author: John S Chipman
Publisher: Westview Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 328

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Book Description


Uncertain Optimal Control

Uncertain Optimal Control PDF Author: Yuanguo Zhu
Publisher: Springer
ISBN: 9811321345
Category : Technology & Engineering
Languages : en
Pages : 211

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Book Description
This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.

A Short Introduction to Preferences

A Short Introduction to Preferences PDF Author: Francesca Bellet
Publisher: Springer Nature
ISBN: 3031015568
Category : Computers
Languages : en
Pages : 90

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Book Description
Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence, multiagent systems, and computational complexity. This book provides a concise introduction to the main research lines in this field, covering aspects such as preference modelling, uncertainty reasoning, social choice, stable matching, and computational aspects of preference aggregation and manipulation. The book is centered around the notion of preference reasoning, both in the single-agent and the multi-agent setting. It presents the main approaches to modeling and reasoning with preferences, with particular attention to two popular and powerful formalisms, soft constraints and CP-nets. The authors consider preference elicitation and various forms of uncertainty in soft constraints. They review the most relevant results in voting, with special attention to computational social choice. Finally, the book considers preferences in matching problems. The book is intended for students and researchers who may be interested in an introduction to preference reasoning and multi-agent preference aggregation, and who want to know the basic notions and results in computational social choice. Table of Contents: Introduction / Preference Modeling and Reasoning / Uncertainty in Preference Reasoning / Aggregating Preferences / Stable Marriage Problems

Allocation under Uncertainty: Equilibrium and Optimality

Allocation under Uncertainty: Equilibrium and Optimality PDF Author: Jacques H Drèze
Publisher: Springer
ISBN: 1349019895
Category : Business & Economics
Languages : en
Pages : 271

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Book Description


Quantifying Consumer Preferences

Quantifying Consumer Preferences PDF Author: Daniel Slottje
Publisher: Emerald Group Publishing
ISBN: 1848553129
Category : Business & Economics
Languages : en
Pages : 410

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Book Description
Demand studies and understanding consumer behavior remain two of the most important areas of analysis by practicing applied economists and econometricians. This book presents research on the estimation of demand systems and the measurement of consumer preferences.

Revealed Preference Theory

Revealed Preference Theory PDF Author: Christopher P. Chambers
Publisher: Cambridge University Press
ISBN: 1316495434
Category : Business & Economics
Languages : en
Pages : 241

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Book Description
Pioneered by American economist Paul Samuelson, revealed preference theory is based on the idea that the preferences of consumers are revealed in their purchasing behavior. Researchers in this field have developed complex and sophisticated mathematical models to capture the preferences that are 'revealed' through consumer choice behavior. This study of consumer demand and behavior is closely tied up with econometrics (especially nonparametric econometrics), where testing the validity of different theoretical models is an important aspect of research. The theory of revealed preference has a very long and distinguished tradition in economics, but there was no systematic presentation of the theory until now. This book deals with basic questions in economic theory, such as the relation between theory and data, and studies the situations in which empirical observations are consistent or inconsistent with some of the best known theories in economics.

Preferences and Similarities

Preferences and Similarities PDF Author: Giacomo Riccia
Publisher: Springer Science & Business Media
ISBN: 3211854320
Category : Computers
Languages : en
Pages : 329

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Book Description
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Behavioral Economics of Preferences, Choices, and Happiness

Behavioral Economics of Preferences, Choices, and Happiness PDF Author: Shinsuke Ikeda
Publisher: Springer
ISBN: 4431554025
Category : Business & Economics
Languages : en
Pages : 717

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Book Description
This book is a collection of important contributions by Japanese researchers and their coauthors to present current advances in behavioral economics and finance, particularly in relation to decision making and human well-being. The topics covered in this volume include decision making under the conditions of inter-temporal choices, risk and social relations, happiness and the neuro-scientific/biological basis of behavior. The book includes works of research, both theoretical and empirical, on time discounting, time preferences, risk aversion, altruism, social status, happiness, addiction, limited attention and health and financial investments. The authors of the chapters add supplementary discussions to survey more recent advances on related topics or to provide detailed information that were abbreviated in the original publications. The addenda will enable readers to deepen their understanding of decision making and human well-being.

Efficiency in U.S. Manufacturing Industries

Efficiency in U.S. Manufacturing Industries PDF Author: Richard E. Caves
Publisher: MIT Press (MA)
ISBN: 9780262031578
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
Among studies of efficiency that have been conducted over the past three decades, Efficiency in U.S. Manufacturing Industries is unmatched in the breadth and depth of its coverage.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399

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Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.