Three Experiments on Decision-making Under Uncertainty in Dynamic Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Three Experiments on Decision-making Under Uncertainty in Dynamic Environments write by Yaroslav Rosokha. This book was released on 2013. Three Experiments on Decision-making Under Uncertainty in Dynamic Environments available in PDF, EPUB and Kindle. This dissertation consists of three economic experiments that investigate behavioral differences in decision making process under risk (uncertainty with known probabilities) and under ambiguity (uncertainty with unknown probabilities). The first and the second chapters present two experiments with subjects choosing between lotteries involving risky and ambiguous urns. Decisions are made in conjunction with a sequence of random draws with replacement, allowing us to track the beliefs of the agents at different moments in time. In the first chapter, we develop and estimate a model of subjective belief updating allowing for base rate fallacy. We find that when updating under ambiguity subjects significantly underweight the new signal, while when updating under compound risk subjects are essentially Bayesian. In the second chapter, we estimate a popular multiple priors model for decision making under ambiguity in dynamic environments. Our estimates suggest a difference in the confidence with which subjects discard the unlikely priors depending on whether an ambiguous urn was presented first or second. Specifically, when an ambiguous urn is presented first, subjects consider more priors during the learning process as compared to when a compound urn is presented first. We also find significant evidence against the hypothesis that human subjects consider only Dirac priors. In the third chapter, we examine the behavior of security dealers in an environment where the level of asymmetric information is viewed as either risk, compound risk, or ambiguity. Using two measures of market liquidity, resiliency and price, we find that duopoly dealer markets are both more resilient to uncertainty about asymmetric information as well as having higher dealer bids compared with monopoly dealer markets for all three uncertainty scenarios. Additionally, we find differences in dealer bidding behavior in duopoly setting depending on whether the uncertainty about informed trading is presented as risk, compound risk, or ambiguity.
Decision Making Under Uncertainty
Decision Making Under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Making Under Uncertainty write by Mykel J. Kochenderfer. This book was released on 2015-07-24. Decision Making Under Uncertainty available in PDF, EPUB and Kindle. 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.
Decision Making under Deep Uncertainty
Decision Making under Deep Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Making under Deep Uncertainty write by Vincent A. W. J. Marchau. This book was released on 2019-04-04. Decision Making under Deep Uncertainty available in PDF, EPUB and Kindle. 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.
Dynamics under Uncertainty
Dynamics under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamics under Uncertainty write by Dragan Pamucar . This book was released on 2021-09-08. Dynamics under Uncertainty available in PDF, EPUB and Kindle. The dynamics of systems have proven to be very powerful tools in understanding the behavior of different natural phenomena throughout the last two centuries. However, the attributes of natural systems are observed to deviate from their classical states due to the effect of different types of uncertainties. Actually, randomness and impreciseness are the two major sources of uncertainties in natural systems. Randomness is modeled by different stochastic processes and impreciseness could be modeled by fuzzy sets, rough sets, Dempster–Shafer theory, etc.
Blackwell Handbook of Judgment and Decision Making
Blackwell Handbook of Judgment and Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Blackwell Handbook of Judgment and Decision Making write by Derek J. Koehler. This book was released on 2008-04-15. Blackwell Handbook of Judgment and Decision Making available in PDF, EPUB and Kindle. The Blackwell Handbook of Judgment and Decision Making is a state-of-the art overview of current topics and research in the study of how people make evaluations, draw inferences, and make decisions under conditions of uncertainty and conflict. Contains contributions by experts from various disciplines that reflect current trends and controversies on judgment and decision making. Provides a glimpse at the many approaches that have been taken in the study of judgment and decision making and portrays the major findings in the field. Presents examinations of the broader roles of social, emotional, and cultural influences on decision making. Explores applications of judgment and decision making research to important problems in a variety of professional contexts, including finance, accounting, medicine, public policy, and the law.
