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Author: Robin M. Hogarth Publisher: ISBN: Category : Languages : en Pages : 45
Book Description
In many important decisions, people are uncertain or ambiguous concerning the magnitude of the probabilities of events that can affect outcomes. The classic theory of decision making argues that people's decisions should not be affected by whether knowledge of a probability is precise or ambiguous. This chapter presents a descriptive model of how people cope with ambiguous probabilities in decision making. The model predicts that ambiguity matters. 'Decision weights' associated with ambiguous probabilities are assumed to be reached via an anchoring-and-adjustment process in which people anchor on an estimate of the probability and then adjust this as a result of mentally stimulating alternative values of the probability. The mental simulation process is affected by both the amount of ambiguity and whether outcomes are large or small gains and/or losses. One important factor that determines people's attitudes toward ambiguity is the nature of the role they assume in making decisions. Keywords: Decision making, Attitudes(psychology), Ambiguity, Subjective probability, Risk adverse, Roles. (CP).
Author: Robin M. Hogarth Publisher: ISBN: Category : Languages : en Pages : 45
Book Description
In many important decisions, people are uncertain or ambiguous concerning the magnitude of the probabilities of events that can affect outcomes. The classic theory of decision making argues that people's decisions should not be affected by whether knowledge of a probability is precise or ambiguous. This chapter presents a descriptive model of how people cope with ambiguous probabilities in decision making. The model predicts that ambiguity matters. 'Decision weights' associated with ambiguous probabilities are assumed to be reached via an anchoring-and-adjustment process in which people anchor on an estimate of the probability and then adjust this as a result of mentally stimulating alternative values of the probability. The mental simulation process is affected by both the amount of ambiguity and whether outcomes are large or small gains and/or losses. One important factor that determines people's attitudes toward ambiguity is the nature of the role they assume in making decisions. Keywords: Decision making, Attitudes(psychology), Ambiguity, Subjective probability, Risk adverse, Roles. (CP).
Author: Robin M. Hogarth Publisher: ISBN: Category : Languages : en Pages : 40
Book Description
Contrary to most formal models of decision making under risk and uncertainty that are built on the basis of prescriptive behavioral principles or axioms, this paper derives a descriptive model of decision making under ambiguity based on principles of behavior, i.e., principles that describe how people behave as opposed to how they should behave. The model assumes that people evaluate the impact of ambiguous probabilities by first anchoring on a given value of the unknown probability and then adjusting this by the net effect of imagining or trying out other values the probability could take. The mental simulation process incorporates giving differential weight to the ranges of probability values above and below the anchor where such weight reflects individual and situational variables. In particular, the assumption that people are cautious as opposed to reckless in making decisions, leads to attributing more weight to possible values of probabilities below the anchor when considering potential gains, and the reverse when faced with potential losses. (kr).
Author: National Research Council Publisher: National Academies Press ISBN: 0309160359 Category : Political Science Languages : en Pages : 400
Book Description
In a world of increasing dependence on information technology, the prevention of cyberattacks on a nation's important computer and communications systems and networks is a problem that looms large. Given the demonstrated limitations of passive cybersecurity defense measures, it is natural to consider the possibility that deterrence might play a useful role in preventing cyberattacks against the United States and its vital interests. At the request of the Office of the Director of National Intelligence, the National Research Council undertook a two-phase project aimed to foster a broad, multidisciplinary examination of strategies for deterring cyberattacks on the United States and of the possible utility of these strategies for the U.S. government. The first phase produced a letter report providing basic information needed to understand the nature of the problem and to articulate important questions that can drive research regarding ways of more effectively preventing, discouraging, and inhibiting hostile activity against important U.S. information systems and networks. The second phase of the project entailed selecting appropriate experts to write papers on questions raised in the letter report. A number of experts, identified by the committee, were commissioned to write these papers under contract with the National Academy of Sciences. Commissioned papers were discussed at a public workshop held June 10-11, 2010, in Washington, D.C., and authors revised their papers after the workshop. Although the authors were selected and the papers reviewed and discussed by the committee, the individually authored papers do not reflect consensus views of the committee, and the reader should view these papers as offering points of departure that can stimulate further work on the topics discussed. The papers presented in this volume are published essentially as received from the authors, with some proofreading corrections made as limited time allowed.
Author: Kerstin Preuschoff Publisher: Frontiers Media SA ISBN: 2889194663 Category : Biological psychiatry Languages : en Pages : 144
Book Description
Most decisions in life are based on incomplete information and have uncertain consequences. To successfully cope with real-life situations, the nervous system has to estimate, represent and eventually resolve uncertainty at various levels. A common tradeoff in such decisions involves those between the magnitude of the expected rewards and the uncertainty of obtaining the rewards. For instance, a decision maker may choose to forgo the high expected rewards of investing in the stock market and settle instead for the lower expected reward and much less uncertainty of a savings account. Little is known about how different forms of uncertainty, such as risk or ambiguity, are processed and learned about and how they are integrated with expected rewards and individual preferences throughout the decision making process. With this Research Topic we aim to provide a deeper and more detailed understanding of the processes behind decision making under uncertainty.
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262331713 Category : Computers Languages : en Pages : 350
Book Description
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: Partha Dasgupta Publisher: Oxford University Press ISBN: 9780199240692 Category : Business & Economics Languages : en Pages : 296
Book Description
This book presents a set of authoritative studies of the role of environmental resources in the development process, written by some of the most expert professionals in a wide range of associated fields. Contributors address the problems connected with the management of local common property resources, such as soil, water, forests and their products, animals and fisheries, and supply both explanations of existing situations and policies for the future. This volume will be the definitive codification of our understanding of geographically localized environmental problems.
Author: Robin M. Hogarth
Author: Robin M. Hogarth
Author: Robin M. Hogarth
Author: Robin M. Hogarth
Author: National Research Council
Author: Kerstin Preuschoff
Author: David R. Mandel
Author: 
Author: John Vincent Fulginiti
Author: Mykel J. Kochenderfer
Author: Partha Dasgupta