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Download or read book Decision-Making in the Absense of Certainty written by and published by Assoc of Cllge & Rsrch Libr. This book was released on with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Samuel David Mash
Publisher: Association of College & Research Libraries
Published: 2014-05-14
Total Pages: 169
ISBN-13: 9780838995532
DOWNLOAD EBOOKDownload or read book Decision-Making in the Absence of Certainty written by Samuel David Mash and published by Association of College & Research Libraries. This book was released on 2014-05-14 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: A. Schleifer
Publisher:
Published: 1995
Total Pages: 0
ISBN-13: 9781565272477
DOWNLOAD EBOOKDownload or read book Decision making under certainty written by A. Schleifer and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Arthur Schleifer
Publisher: Thomson South-Western
Published: 1995
Total Pages: 0
ISBN-13: 9781565272743
DOWNLOAD EBOOKThis book is designed to help readers analyze, make economic tradeoffs and choose wisely in complex decision problems where uncertainty, for all practical purposes, can be ignored. The authors focus on decisions involving relevant costs and revenues, pricing, constraints, the time value of money, and the use of scenarios, or what if analysis.
Download or read book Decision Making Under Certainty written by Arthur Schleifer and published by Thomson South-Western. This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to help readers analyze, make economic tradeoffs and choose wisely in complex decision problems where uncertainty, for all practical purposes, can be ignored. The authors focus on decisions involving relevant costs and revenues, pricing, constraints, the time value of money, and the use of scenarios, or what if analysis.
Author: Elizabeth A. Wilman
Publisher: Routledge
Published: 2015-09-16
Total Pages: 194
ISBN-13: 1317364759
DOWNLOAD EBOOKIn this title, originally published in 1984, Wilman develops and describes a methodology for imputing a monetary value to the loss in beach recreational services that would result from a hypothetical oil spill in the Georges Bank area off Massachusetts. Combining an oil-spill risk analysis model with an hedonic pricing model to generate estimates of beach pollution costs associated with offshore oil development, Wilman makes possible for the first time a rational judgement regarding whether the benefits of developing offshore oil outweigh the costs. This book is a valuable resource for students interested in environmental studies and Wilman’s methodological approach can be used to value other nonmarket resource services in any area.
Download or read book External Costs of Coastal Beach Pollution written by Elizabeth A. Wilman and published by Routledge. This book was released on 2015-09-16 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this title, originally published in 1984, Wilman develops and describes a methodology for imputing a monetary value to the loss in beach recreational services that would result from a hypothetical oil spill in the Georges Bank area off Massachusetts. Combining an oil-spill risk analysis model with an hedonic pricing model to generate estimates of beach pollution costs associated with offshore oil development, Wilman makes possible for the first time a rational judgement regarding whether the benefits of developing offshore oil outweigh the costs. This book is a valuable resource for students interested in environmental studies and Wilman’s methodological approach can be used to value other nonmarket resource services in any area.
Author: Neil McArthur
Publisher: University of Toronto Press
Published: 2007-12-15
Total Pages:
ISBN-13: 1442638648
DOWNLOAD EBOOKDavid Hume (1711-1776) is perhaps best known for his treatises on problems of epistemology, skepticism, and causation. A less familiar side of his intellectual output is his work on legal and political theory. David Hume's Political Theory brings together Hume's diverse writings on law and government, collected and examined with a view to revealing the philosopher's coherent and persuasive theory of politics. Through close textual analysis, Neil McArthur suggests that the key to Hume's political theory lies in its distinction between barbarous and civilized government. Throughout the study, the author explores Hume's argument that a society's progress from barbarism to civilization depends on the legal and political system by which it is governed. Ultimately, McArthur demonstrates that the skepticism apparent in much of Hume's work does not necessarily tie him to a strict conservative ideology; rather, Hume's political theory is seen to emphasize many liberal virtues as well. Based on a new conception of Hume's political philosophy, this is a groundbreaking work and a welcome addition to the existing literature.
Download or read book David Hume's Political Theory written by Neil McArthur and published by University of Toronto Press. This book was released on 2007-12-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: David Hume (1711-1776) is perhaps best known for his treatises on problems of epistemology, skepticism, and causation. A less familiar side of his intellectual output is his work on legal and political theory. David Hume's Political Theory brings together Hume's diverse writings on law and government, collected and examined with a view to revealing the philosopher's coherent and persuasive theory of politics. Through close textual analysis, Neil McArthur suggests that the key to Hume's political theory lies in its distinction between barbarous and civilized government. Throughout the study, the author explores Hume's argument that a society's progress from barbarism to civilization depends on the legal and political system by which it is governed. Ultimately, McArthur demonstrates that the skepticism apparent in much of Hume's work does not necessarily tie him to a strict conservative ideology; rather, Hume's political theory is seen to emphasize many liberal virtues as well. Based on a new conception of Hume's political philosophy, this is a groundbreaking work and a welcome addition to the existing literature.
Author: Moritz Hardt
Publisher: Princeton University Press
Published: 2022-08-23
Total Pages: 321
ISBN-13: 0691233721
DOWNLOAD EBOOKAn authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers
Download or read book Patterns, Predictions, and Actions: Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers
Author: Mykel J. Kochenderfer
Publisher: MIT Press
Published: 2015-07-24
Total Pages: 350
ISBN-13: 0262331713
DOWNLOAD EBOOKAn introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: National Research Council
Publisher: National Academies Press
Published: 2006-10-09
Total Pages: 124
ISBN-13: 0309180538
DOWNLOAD EBOOKUncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.
Download or read book Completing the Forecast written by National Research Council and published by National Academies Press. This book was released on 2006-10-09 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.
Author: Markku Suksi
Publisher: Springer Nature
Published: 2023-07-24
Total Pages: 222
ISBN-13: 3031301420
DOWNLOAD EBOOKThe book presents observations concerning automated decision-making from a general point of view at the same time as it analyses the manner in which praxis in some jurisdictions has evolved as concerns automated decision-making and how the requirements that are placed by the legal orders on it are formulated. The principle of the rule of law should apply in the context of automated decision-making of public authorities just as much as when the decision-makers are physical persons. In sync with increasing automatization of decision-making in public authorities, problematizing questions about the appropriate legal basis for algorithmic decision-making have started emerge. How should the principle of the rule of law apply within the area of automated decision-making, how should automated decision-making be regulated so that it satisfies the requirements created by the principle of the rule of law, and how should the principle of the rule of law be made concrete in decision-making that is based on algorithms? The proposal for an AI Act launched by the European Commission in April 2021, including an identification of high-risk uses of algorithmic techniques, raises further questions concerning practices and interpretations related to automated decision-making. The state based on the rule of law proceeds from the maxim that public powers are exercised within a legal frame that makes the exercise of public powers foreseeable in light of legal norms. Also, a state based on the rule of law requires that the contents of the exercise of public powers is regulated by legal norms, which means that the citizens must be able to know everything that is relevant about how the powers will be exercised, not only who it is that will exercise the powers. Because of rules and principles of this kind, including non-discrimination and proportionality, the exercise of powers will not become arbitrary.
Download or read book The Rule of Law and Automated Decision-Making written by Markku Suksi and published by Springer Nature. This book was released on 2023-07-24 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents observations concerning automated decision-making from a general point of view at the same time as it analyses the manner in which praxis in some jurisdictions has evolved as concerns automated decision-making and how the requirements that are placed by the legal orders on it are formulated. The principle of the rule of law should apply in the context of automated decision-making of public authorities just as much as when the decision-makers are physical persons. In sync with increasing automatization of decision-making in public authorities, problematizing questions about the appropriate legal basis for algorithmic decision-making have started emerge. How should the principle of the rule of law apply within the area of automated decision-making, how should automated decision-making be regulated so that it satisfies the requirements created by the principle of the rule of law, and how should the principle of the rule of law be made concrete in decision-making that is based on algorithms? The proposal for an AI Act launched by the European Commission in April 2021, including an identification of high-risk uses of algorithmic techniques, raises further questions concerning practices and interpretations related to automated decision-making. The state based on the rule of law proceeds from the maxim that public powers are exercised within a legal frame that makes the exercise of public powers foreseeable in light of legal norms. Also, a state based on the rule of law requires that the contents of the exercise of public powers is regulated by legal norms, which means that the citizens must be able to know everything that is relevant about how the powers will be exercised, not only who it is that will exercise the powers. Because of rules and principles of this kind, including non-discrimination and proportionality, the exercise of powers will not become arbitrary.
