Download or read book Decision Making in Dynamic Environments written by Carolus Marinus Hurts and published by . This book was released on 1985 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Decision Making in Dynamic Environments written by Carolus Marinus Maria Hurts and published by . This book was released on 1985 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Decision Making and Learning in Complex Dynamic Environments written by Hassan Qudrat Ullah and published by . This book was released on 2002 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Better Decision Making in Complex Dynamic Tasks written by Hassan Qudrat-Ullah and published by Springer. This book was released on 2014-06-16 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of “decision making in dynamic tasks”, its importance and its complexity. Part II provides background material, drawing upon the relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development and application of Fish Bank ILE, in laboratory experiments, to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensive analysis of the gathered data to provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people’s ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.

Download or read book Decision Making in Complex Dynamic Environments written by Alexander J. Wearing and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Complex Decision Making written by Hassan Qudrat-Ullah and published by Springer. This book was released on 2007-09-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.

Download or read book Dynamics of decision making from evidence to preference and belief written by Erica Yu and published by Frontiers E-books. This book was released on 2014-10-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the core of the many debates throughout cognitive science concerning how decisions are made are the processes governing the time course of preference formation and decision. From perceptual choices, such as whether the signal on a radar screen indicates an enemy missile or a spot on a CT scan indicates a tumor, to cognitive value-based decisions, such as selecting an agreeable flatmate or deciding the guilt of a defendant, significant and everyday decisions are dynamic over time. Phenomena such as decoy effects, preference reversals and order effects are still puzzling researchers. For example, in a legal context, jurors receive discrete pieces of evidence in sequence, and must integrate these pieces together to reach a singular verdict. From a standard Bayesian viewpoint the order in which people receive the evidence should not influence their final decision, and yet order effects seem a robust empirical phenomena in many decision contexts. Current research on how decisions unfold, especially in a dynamic environment, is advancing our theoretical understanding of decision making. This Research Topic aims to review and further explore the time course of a decision - from how prior beliefs are formed to how those beliefs are used and updated over time, towards the formation of preferences and choices and post-decision processes and effects. Research literatures encompassing varied approaches to the time-scale of decisions will be brought into scope: a) Speeded decisions (and post-decision processes) that require the accumulation of noisy and possibly non-stationary perceptual evidence (e.g., randomly moving dots stimuli), within a few seconds, with or without temporal uncertainty. b) Temporally-extended, value-based decisions that integrate feedback values (e.g., gambling machines) and internally-generated decision criteria (e.g., when one switches attention, selectively, between the various aspects of several choice alternatives). c) Temporally extended, belief-based decisions that build on the integration of evidence, which interacts with the decision maker's belief system, towards the updating of the beliefs and the formation of judgments and preferences (as in the legal context). Research that emphasizes theoretical concerns (including optimality analysis) and mechanisms underlying the decision process, both neural and cognitive, is presented, as well as research that combines experimental and computational levels of analysis.

Download or read book Application oriented Collective Decision Making Experimental Toolbox and Dynamic Environments written by Niclas Boehmer and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamic Perspectives on Managerial Decision Making written by Herbert Dawid and published by Springer. This book was released on 2016-09-15 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects research papers addressing topical issues in economics and management with a particular focus on dynamic models which allow to analyze and foster the decision making of firms in dynamic complex environments. The scope of the contributions ranges from daily operational challenges firms face to strategic choices in dynamic industry environments and the analysis of optimal growth paths. The volume also highlights recent methodological developments in the areas of dynamic optimization, dynamic games and meta-heuristics, which help to improve our understanding of (optimal) decision making in a fast evolving economy.

Download or read book Application oriented Collective Decision Making Experimental Toolbox and Dynamic Environments written by Niclas Böhmer and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Complex Decision Making written by Hassan Qudrat-Ullah and published by Springer Verlag. This book was released on 2008 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's ever more complex world creates challenges for decision makers. This volume reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, the book gives you a range of practical tools and techniques for decision making in complex environments and systems.

Download or read book Decision Making in Complex Environments written by Jan Noyes and published by CRC Press. This book was released on 2017-09-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many complex systems in civil and military operations are highly automated with the intention of supporting human performance in difficult cognitive tasks. The complex systems can involve teams or individuals working on real-time supervisory control, command or information management tasks where a number of constraints must be satisfied. Decision Making in Complex Environments addresses the role of the human, the technology and the processes in complex socio-technical and technological systems. The aim of the book is to apply a multi-disciplinary perspective to the examination of the human factors in complex decision making. It contains more than 30 contributions on key subjects such as military human factors, team decision making issues, situation awareness, and technology support. In addition to the major application area of military human factors there are chapters on business, medical, governmental and aeronautical decision making. The book provides a unique blend of expertise from psychology, human factors, industry, commercial environments, the military, computer science, organizational psychology and training that should be valuable to academics and practitioners alike.

Download or read book Modelling of Decision Making for Discrete Processes in Dynamic Environments written by Gregory E. Kersten and published by . This book was released on 1989 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Three Experiments on Decision making Under Uncertainty in Dynamic Environments written by Yaroslav Rosokha and published by . This book was released on 2013 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Human Decisionmaking in Dynamic Environments with Increasing Information Processing Demands written by D. Serfaty and published by . This book was released on 1983 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article describes the Dynamic Decision Model (DDM) which is a normative-descriptive model that has shown to provide an excellent representation of human information processing and decisionmaking in a dynamic multi-task environment. A sensitivity study was performed on the DDM in an attempt to explore the nature by which various dynamic task attributes affect human performance. In particular, changes in parameters such as the number of concurrent tasks, task velocity, task processing time and task value, were investigated in conjunction with existing notions concerning human operator workload. This global approach not only emphasizes the performance level the human operator may attain but also the tactics and strategies he uses to achieve it.

Download or read book A Study of Business Simulation Management Decision Making in a Dynamic Environment written by John Cammarata and published by . This book was released on 1961 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Integrated and Holistic Perspectives on Learning Instruction and Technology written by J.M. Spector and published by Springer Science & Business Media. This book was released on 2005-12-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: One outcome of recent progress in educational technology is strong interest in providing effective support for learning in complex and ill-structured domains. We know how to use technology to promote understanding in simpler domains (e.g., orientation information, procedures with minimal-branching, etc.), but we are less sure how to use technology to support understanding in more complex domains (e.g., managing limited resources, understanding environmental impacts, etc.). Such domains are increasingly significant for society. Technology (e.g., collaborative tele-learning, digital repositories, interactive simulations, etc.) can provide conceptually and functionally rich domains for learning. However, this introduces the problem of determining what works in which circumstances and why. Research and development on these matters is reflected in this collection of papers. This research suggests a need to rethink foundational issues in educational philosophy and learning technology. One major theme connecting these papers is the need to address learning in the large - from a more holistic perspective. A second theme concerns the need to take learners where and as they are, integrating technology into effective learning places. Significant and systematic progress in learning support for complex domains demands further attention to these important issues.