Realistic Decision Theory

Realistic Decision Theory PDF Author: Paul Weirich
Publisher: Oxford University Press
ISBN: 9780198038238
Category : Education
Languages : en
Pages : 278

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Book Description
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 PDF Author: Paul Weirich
Publisher: Oxford University Press
ISBN: 9780198038238
Category : Education
Languages : en
Pages : 278

Get Book

Book Description
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 PDF Author: Paul Weirich
Publisher: Oxford University Press
ISBN: 0190291117
Category : Philosophy
Languages : en
Pages : 278

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Book Description
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 PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Models of Decision-Making

Models of Decision-Making PDF Author: Paul Weirich
Publisher: Cambridge University Press
ISBN: 1107077796
Category : Business & Economics
Languages : en
Pages : 277

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

Evidence, Decision and Causality

Evidence, Decision and Causality PDF Author: Arif Ahmed
Publisher: Cambridge University Press
ISBN: 1107020891
Category : Mathematics
Languages : en
Pages : 261

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Book Description
An explanation and defence of evidential decision theory, which emphasises the symptomatic value of options over their causal role.

Thinking about Acting

Thinking about Acting PDF Author: John L. Pollock
Publisher: Oxford University Press
ISBN: 0199838860
Category : Philosophy
Languages : en
Pages : 280

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Book Description
John Pollock aims to construct a theory of rational decision making for real agents--not ideal agents. Real agents have limited cognitive powers, but traditional theories of rationality have applied only to idealized agents that lack such constraints. Pollock argues that theories of ideal rationality are largely irrelevant to the decision making of real agents. Thinking about Acting aims to provide a theory of "real rationality."

Decision Making under Deep Uncertainty

Decision Making under Deep Uncertainty PDF Author: Vincent A. W. J. Marchau
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Smart Choices

Smart Choices PDF Author: John S. Hammond
Publisher: Harvard Business School Press
ISBN: 9781633691049
Category :
Languages : en
Pages : 256

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Book Description
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

Decision Theory PDF Author: D.J. White
Publisher: Routledge
ISBN: 1351523325
Category : Social Science
Languages : en
Pages : 196

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Book Description
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.

Decision Theory and Decision Behaviour

Decision Theory and Decision Behaviour PDF Author: Anatol Rapoport
Publisher: Springer Science & Business Media
ISBN: 9401578400
Category : Business & Economics
Languages : en
Pages : 439

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Book Description
This book presents the content of a year's course in decision processes for third and fourth year students given at the University of Toronto. A principal theme of the book is the relationship between normative and descriptive decision theory. The distinction between the two approaches is not clear to everyone, yet it is of great importance. Normative decision theory addresses itself to the question of how people ought to make decisions in various types of situations, if they wish to be regarded (or to regard themselves) as 'rational'. Descriptive decision theory purports to describe how people actually make decisions in a variety of situations. Normative decision theory is much more formalized than descriptive theory. Especially in its advanced branches, normative theory makes use of mathematicallanguage, mode of discourse, and concepts. For this reason, the definitions of terms encountered in normative decision theory are precise, and its deductions are rigorous. Like the terms and assertions of other branches of mathematics, those of mathematically formalized decision theory need not refer to anything in the 'real', i. e. the observable, world. The terms and assertions can be interpreted in the context of models of real li fe situations, but the verisimilitude of the models is not important. They are meant to capture only the essentials of adecision situation, which in reallife may be obscured by complex details and ambiguities. It is these details and ambiguities, however, that may be crucial in determining the outcomes of the decisions.