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Realistic Decision Theory


Realistic Decision Theory
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Realistic Decision Theory


Realistic Decision Theory
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Author : Paul Weirich
language : en
Publisher:
Release Date : 2004-09-16

Realistic Decision Theory written by Paul Weirich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-16 with Business & Economics categories.


Paul Weirich generalizes classical decision principles so that they apply to fallible, cognitively limited agents facing complex decision problems. His systematic approach to removal of decision theory's idealizations yields attainable but precise standards of rationality.



Realistic Decision Theory


Realistic Decision Theory
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Author : Paul Weirich
language : en
Publisher: Oxford University Press
Release Date : 2004-09-16

Realistic Decision Theory written by Paul Weirich and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-16 with Philosophy categories.


Within traditional decision theory, common decision principles -- e.g. the principle to maximize utility -- generally invoke idealization; they govern ideal agents in ideal circumstances. In Realistic Decision Theory, Paul Weirch adds practicality to decision theory by formulating principles applying to nonideal agents in nonideal circumstances, such as real people coping with complex decisions. Bridging the gap between normative demands and psychological resources, Realistic Decision Theory is essential reading for theorists seeking precise normative decision principles that acknowledge the limits and difficulties of human decision-making.



Realistic Decision Theory


Realistic Decision Theory
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Author :
language : en
Publisher:
Release Date :

Realistic Decision Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Decision Theory


Decision Theory
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Author : D.J. White
language : en
Publisher: Routledge
Release Date : 2018-02-06

Decision Theory written by D.J. White and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-06 with Social Science categories.


All of human life may be seen as a process of decision-making, but it is only in recent years and in response to the needs of the large and complex organizations characterizing our society that this process has been subjected to scientifi c scrutiny. Out of this scrutiny-undertaken by a wide range of professionals in economics, administration, management, statistics, psychology, engineering, computer science, operations research, and systems analysis-there has begun to emerge a body of theory that has profound implications for improving practical decision-making. This book is the fi rst to bring together all the various aspects of decision theory into one cohesive treatment.



Algorithmic Decision Theory


Algorithmic Decision Theory
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Author : Francesca Rossi
language : en
Publisher: Springer
Release Date : 2009-10-13

Algorithmic Decision Theory written by Francesca Rossi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Mathematics categories.


This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference was held in San Servolo, a small island of the Venice lagoon, during October 20-23, 2009. The program of the conference included oral presentations, posters, invited talks, and tutorials. The conference received 65 submissions of which 39 papers were accepted (9 papers were posters). The topics of these papers range from computational social choice preference modeling, from uncertainty to preference learning, from multi-criteria decision making to game theory.



Smart Choices


Smart Choices
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Author : John S. Hammond
language : en
Publisher: Harvard Business School Press
Release Date : 2015-08

Smart Choices written by John S. Hammond and has been published by Harvard Business School Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08 with categories.


Where should I live? Is it time to get a new job? Which job candidate should I hire? What business strategy should I pursue? We spend the majority of our lives making decisions, both big and small. Yet, even though our success is largely determined by the choices that we make, very few of us are equipped with useful decision-making skills. Because of this, we often approach our choices tentatively, or even fearfully, and avoid giving them the time and thought required to put our best foot forward. In Smart Choices, John Hammond, Ralph Keeney, and Howard Raiffa--experts with over 100 years of experience resolving complex decision problems--offer a proven, straightforward, and flexible roadmap for making better and more impactful decisions, and offer the tools to achieve your goals in every aspect of your life. Their step-by-step, divide-and conquer approach will teach you how to: * Evaluate your plans * Break your potential decision into its key elements * Identify the key drivers that are most relevant to your goals * Apply systematic thinking * Use the right information to make the smartest choice Smart Choices doesn’t tell you what to decide; it tells you how. As you routinely use the process, you’ll become more confident in your ability to make decisions at work and at home. And, more importantly, by applying its time-tested methods, you’ll make better decisions going forward. Be proactive. Don’t wait until a decision is forced on you--or made for you. Seek out decisions that advance your long-term goals, values, and beliefs. Take charge of your life by making Smart Choices a lifetime habit.



Decision Theory With Imperfect Information


Decision Theory With Imperfect Information
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Author : Aliev Rafig Aziz
language : en
Publisher: World Scientific
Release Date : 2014-08-08

Decision Theory With Imperfect Information written by Aliev Rafig Aziz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-08 with Mathematics categories.


Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which probabilities and events are imprecise. In this book, we describe a new theory of decision making with imperfect information. The aim is to shift the foundation of decision analysis and economic behavior from the realm bivalent logic to the realm fuzzy logic and Z-restriction, from external modeling of behavioral decisions to the framework of combined states.This book will be helpful for professionals, academics, managers and graduate students in fuzzy logic, decision sciences, artificial intelligence, mathematical economics, and computational economics.



Decision Space


Decision Space
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Author : Paul Weirich
language : en
Publisher: Cambridge University Press
Release Date : 2001-08-27

Decision Space written by Paul Weirich and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-08-27 with Science categories.


In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.



Models Of Decision Making


Models Of Decision Making
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Author : Paul Weirich
language : en
Publisher: Cambridge University Press
Release Date : 2015

Models Of Decision Making written by Paul Weirich and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business & Economics categories.


This book explains and justifies efficient general methods of making decisions and will guide practical efforts to streamline rational choice.



Non Bayesian Decision Theory


Non Bayesian Decision Theory
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Author : Martin Peterson
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-06

Non Bayesian Decision Theory written by Martin Peterson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-06 with Science categories.


For quite some time, philosophers, economists, and statisticians have endorsed a view on rational choice known as Bayesianism. The work on this book has grown out of a feeling that the Bayesian view has come to dominate the academic com- nitytosuchanextentthatalternative,non-Bayesianpositionsareseldomextensively researched. Needless to say, I think this is a pity. Non-Bayesian positions deserve to be examined with much greater care, and the present work is an attempt to defend what I believe to be a coherent and reasonably detailed non-Bayesian account of decision theory. The main thesis I defend can be summarised as follows. Rational agents m- imise subjective expected utility, but contrary to what is claimed by Bayesians, ut- ity and subjective probability should not be de?ned in terms of preferences over uncertain prospects. On the contrary, rational decision makers need only consider preferences over certain outcomes. It will be shown that utility and probability fu- tions derived in a non-Bayesian manner can be used for generating preferences over uncertain prospects, that support the principle of maximising subjective expected utility. To some extent, this non-Bayesian view gives an account of what modern - cision theory could have been like, had decision theorists not entered the Bayesian path discovered by Ramsey, de Finetti, Savage, and others. I will not discuss all previous non-Bayesian positions presented in the literature.