Dynamics Of Human Decision Making
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Chaotic Dynamics Produced My Human Decision Making Behaviour
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Author :
language : en
Publisher:
Release Date : 1990
Chaotic Dynamics Produced My Human Decision Making Behaviour written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Chaotic Dynamics Produced By Human Decision Making Behaviour
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Author : Erik Reimer Larsen
language : en
Publisher:
Release Date : 1990*
Chaotic Dynamics Produced By Human Decision Making Behaviour written by Erik Reimer Larsen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990* with categories.
Improving Human Performance In Dynamic Tasks
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Author : Hassan Qudrat-Ullah
language : en
Publisher:
Release Date : 2020
Improving Human Performance In Dynamic Tasks written by Hassan Qudrat-Ullah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Decision making categories.
This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects. Decision making in dynamic tasks can be improved through training with system dynamics-based interactive learning environments (ILE's) that include systematic debriefing. Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed "evaluation model" to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.
Dynamics Of Human Decision Making
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Author : Koeun Lim
language : en
Publisher:
Release Date : 2017
Dynamics Of Human Decision Making written by Koeun Lim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
When making daily decisions, people naturally ask two questions: how soon can I make a decision, and is it a good decision? In experimental setting, humans can subjectively yet quantitatively assess choice confidence (i.e. how good) based on their perceptual precision even when a decision is made without an immediate reward or feedback. Such choice confidence has been shown to have a non-monotonic relationship with decision time (i.e. how soon), such that choice confidence can be correlated either positively or negatively with decision time depending on how decision time is constrained. However, the neural mechanisms underlying the interaction between choice confidence and decision time during perceptual decision-making are still unclear. Hence, the goals of this research were to (1) develop dynamic computational models and to (2) find neural representations of choice confidence in human scalp potentials. The dynamic models of choice confidence were developed by merging two parallel conceptual frameworks of decision-making, signal detection theory and sequential analyses (i.e., drift diffusion model). Specifically, in order to capture the end-point statistics of binary choice and confidence, we built on a previous study that defined choice confidence in terms of psychophysics derived from signal detection theory. At the same time, we augmented this mathematical model to include accumulator dynamics of a drift-diffusion model to characterize the time-dependence of choice behaviors in a standard forced-choice paradigm. Twelve human subjects performed a subjective visual vertical task, simultaneously reporting binary orientation choice and probabilistic confidence. Both binary choice and confidence experimental data displayed statistics and dynamics consistent with both signal detection theory and evidence accumulation, respectively. Specifically, the computational simulations showed that the unbounded evidence accumulator model fits the confidence data better than the classical bounded model while bounded and unbounded models were indistinguishable for binary choice data. These results suggest that the brain can utilize mechanisms consistent with signal detection theory to assess confidence when observation duration is externally controlled. As a neural mechanism that binds choice action and confidence, a fronto-parietal network has been implicated. Such bi-local neural circuitry is consistent with dual-route model of metacognition, in which the prefrontal cortex supervises and evaluates objectlevel parietal cortex. However, the neural dynamics underlying the interaction between choice confidence and decision time in the fronto-parietal network during the perceptual decision-making have yet to be elucidated. Here we show in fifteen human subjects that choice confidence contributes to frontal event-related potential (ERP) during a predecisional stage when choice accuracy is emphasized over speed during a free response task. We found that the second positive peak, particularly the curvature, of the stimuluslocked frontal ERP at 400-600ms covaries with confidence while the amplitude of the centro-parietal ERP increases with faster decision response time during the same time interval. This finding provides evidence for a causal role of confidence in perceptual decision-making, complementing earlier ERP evidence supporting a retrospective role. Altogether, these results suggest that an internal representation of choice confidence evolves concurrently with choice action prior to reporting a decision. Furthermore, the non-monotonic dynamics of confidence arise from its dual roles that may be determined by the prior expectation of decision time constraint. In other words, the causal role of confidence may underlie the negative correlations between choice confidence and decision time behaviors while the retrospective role may underlie the positive correlations.
Dynamics Of Decision Making From Evidence To Preference And Belief
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Author : Erica Yu
language : en
Publisher: Frontiers E-books
Release Date : 2014-10-24
Dynamics Of Decision Making From Evidence To Preference And Belief written by Erica Yu and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-24 with Decision making categories.
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.
Better Decision Making In Complex Dynamic Tasks
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Author : Hassan Qudrat-Ullah
language : en
Publisher: Springer
Release Date : 2014-06-16
Better Decision Making In Complex Dynamic Tasks written by Hassan Qudrat-Ullah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Science categories.
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.
Applications Of Research On Human Decision Making
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Author :
language : en
Publisher:
Release Date : 1970
Applications Of Research On Human Decision Making written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Decision making categories.
Decision Science A Human Oriented Perspective
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Author : George Mengov
language : en
Publisher: Springer
Release Date : 2015-05-15
Decision Science A Human Oriented Perspective written by George Mengov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-15 with Technology & Engineering categories.
This book offers a new perspective on human decision-making by comparing the established methods in decision science with innovative modelling at the level of neurons and neural interactions. The book presents a new generation of computer models, which can predict with astonishing accuracy individual economic choices when people make them by quick intuition rather than by effort. A vision for a new kind of social science is outlined, whereby neural models of emotion and cognition capture the dynamics of socioeconomic systems and virtual social networks. The exposition is approachable by experts as well as by advanced students. The author is an Associate Professor of Decision Science with a doctorate in Computational Neuroscience, and a former software consultant to banks in the City of London.
Situation Awareness In Dynamic Human Decision Making
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Author : Mica R. Endsley
language : en
Publisher:
Release Date : 1990
Situation Awareness In Dynamic Human Decision Making written by Mica R. Endsley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Group Dynamics Key To Decision Making
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Author : Robert Rogers Blake
language : en
Publisher:
Release Date : 1979
Group Dynamics Key To Decision Making written by Robert Rogers Blake and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Decision making categories.