Learning From The Science Of Cognition And Perception For Decision Making
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National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences
Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences Publisher : National Academies Press Page : 79 pages File Size : 42,9 Mb Release : 2018-07-29 Category : Social Science ISBN : 9780309476348
Learning from the Science of Cognition and Perception for Decision Making by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences Pdf
Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The fourth workshop focused on the science of cognition and perception, and this publication summarizes the presentations and discussions from this workshop.
Learning from the Science of Cognition and Perception for Decision Making by ENGINEERING NATIONAL ACADEMIES OF SCIENCES (AND MEDICINE. DIVISION OF BEHAVIORAL AND SOCIAL.) Pdf
"Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The fourth workshop focused on the science of cognition and perception, and this publication summarizes the presentations and discussions from this workshop"--Publisher's description
Goal-Directed Decision Making by Richard W. Morris,Aaron Bornstein,Amitai Shenhav Pdf
Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making
Handbook of Cognition by Koen Lamberts,Rob Goldstone Pdf
The Handbook of Cognition provides a definitive synthesis of the most up-to-date and advanced work in cognitive psychology in a single volume. The editors have gathered together a team of world-leading researchers in specialist areas of the field, both traditional and `hot′ new areas, to present a benchmark - in terms of theoretical insight and advances in methodology - of the discipline; a thorough overview of the most significant and current research in cognitive psychology that will serve this academic community like no other volume. Core and established topics such as memory, attention, categorization, perception, and language are considered in depth, and from a fresh perspective, yet three chapters on cognitive neuroscience and two chapters on computational and mathematical modelling are a particularly innovative feature of this Handbook. The Handbook is divided into the following sections: Section I: Perception, Attention and Action Section II: Learning and Memory Section III: Language Section IV: Reasoning and Decision-Making Section V: Cognitive Neuropsychology Section VI: Modelling Cognition Coherent, authoritative, international and accessible to both advanced students as well as researchers, the Handbook of Cognition represents a guided tour of the research literature in cognitive psychology and cognitive science. Whether an established researcher in this field, or someone approaching it for the first time at a senior level, this volume will be indispensable reading and a reference for many years to come.
Decision Making, Affect, and Learning by Mauricio R. Delgado,Elizabeth A. Phelps,Trevor W. Robbins Pdf
This latest volume in the critically acclaimed and highly influential Attention and Performance series focuses on two of the fastest moving research areas in cognitive and affective neuroscience - decision making and emotional processing. Decision Making, Affect, and Learning investigates the psychological and neural systems underlying decision making, and the relationship with reward, affect, and learning. In addition, it considers neurodevelopmental and clinical aspects of these issues - for example the role of decision making and reward in drug addiction. It also looks at the applied aspects of this knowledge to other disciplines, including the growing field of Neuroeconomics. After an introductory chapter from the Volume editors, the book is then arranged according to the following themes: Psychological Processes underlying decision-making. Neural systems of decision-making Neural systems of emotion, reward and learning Neurodevelopmental and clinical aspects Superbly written and edited, the book highlights the complex interplay between emotional and decision-making processes and their relationship with learning.
Decision Making from a Cognitive Perspective by Anonim Pdf
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. This guest-edited special issue is devoted to research and discussion on decision making from a cognitive perspective. Topics include judgment and decision making with respect to memory processes and techniques, domain-specificity, and confirmation bias. Key Features * Synthesis of decision and cognitive research * New theoretical treatments of critical phenomena * New findings and systematic reviews of past work * Coverage of preference, inference, prediction, and hypothesis-testing * Written by the new leading generation of researchers
Dynamics of decision making: from evidence to preference and belief by Erica Yu,David A. Lagnado Pdf
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.
Neuroscience of Decision Making by Oshin Vartanian,David R. Mandel Pdf
The intersection between the fields of behavioral decision research and neuroscience has proved to be fertile ground for interdisciplinary research. Whereas the former is rich in formalized models of choice, the latter is rife with techniques for testing behavioral models at the brain level. As a result, there has been the rapid emergence of progressively more sophisticated biological models of choice, geared toward the development of ever more complete mechanistic models of behavior. This volume provides a coherent framework for distilling some of the key themes that have emerged as a function of this research program, and highlights what we have learned about judgment and decision making as a result. Although topics that are theoretically relevant to judgment and decision making researchers are addressed, the book also ventures somewhat beyond the traditional boundaries of this area to tackle themes that would of interest to a greater community of scholars. Neuroscience of Decision Making provides contemporary and essential reading for researchers and students of cognitive psychology, neuroscience, philosophy, and economics.
An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment. Many organisms (including humans) make decisions by relying on mental representations. Not simply a reaction triggered by perception, representational decision making employs high-level, non-perceptual mental states with content to manage interactions with the environment. A person making a decision based on mental representations, for example, takes a step back from her perceptions at the time to assess the nature of the world she lives in. But why would organisms rely on representational decision making, and what evolutionary benefits does this reliance provide to the decision maker? In Efficient Cognition, Armin Schulz argues that representational decision making can be more cognitively efficient than non-representational decision making. Specifically, he shows that a key driver in the evolution of representational decision making is that mental representations can enable an organism to save cognitive resources and adjust more efficiently to changed environments. After laying out the foundations of his argument—clarifying the central questions, the characterization of representational decision making, and the relevance of an evidential form of evolutionary psychology—Schulz presents his account of the evolution of representational decision making and critically considers some of the existing accounts of the subject. He then applies his account to three open questions concerning the nature of representational decision making: the extendedness of decision making, and when we should expect cognition to extend into the environment; the specialization of decision making and the use of simple heuristics; and the psychological sources of altruistic behaviors.
Decision Making: Neural and Behavioural Approaches by Anonim Pdf
This well-established international series examines major areas of basic and clinical research within neuroscience, as well as emerging and promising subfields.This volume explores interdisciplinary research on decision making taking a neural and behavioural approach Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research Chapters are extensively referenced to provide readers with a comprehensive list of resources on the topics covered All chapters include comprehensive background information and are written in a clear form that is also accessible to the non-specialist
Judgment, Decision-Making, and Embodied Choices by Markus Raab Pdf
Judgment, Decision-Making, and Embodied Choices introduces a new concept of embodied choices which take sensorimotor experiences into account when limited time and resources forces a person to make a quick decision. This book combines areas of cognitive psychology and movement science, presenting an integrative approach to understanding human functioning in everyday scenarios. This is the first book focusing on the role of the gut as a second brain, introducing the link to risky behavior. The book's author engages readers by providing real-life experiences and scenarios connecting theory to practice. Discusses the role of gut feelings and the brain-gut behavior connection Demonstrates that behavior influences decision and other people’s perceptions about mood or character Includes research on medical decisions and shopping decisions Illustrates how to train embodied choices
Trends in Cognitive Psychology by Serge P. Shohov Pdf
Cognitive psychology is concerned with several mental processes, including those involved in perception, attention, learning, memory, problem solving, decision making and the use of language. It is often said that cognitive psychology tries to understand how people represent their experience and then use these representations to operate effectively. Cognitive psychology holds that people are not passive organisms whose mental representations are simple or direct reflections of the outside world. Rater, they are active processors of environmental events, and as such they bring their past knowledge and their biases to bear on how they perceive and understand all current events. Thus perceiving, imagining, thinking, remembering, forming concepts, and solving problems, indeed all aspects of people's mental lives, define the domain of cognitive exploration. This book presents important research which was carefully selected and screened for both current relevance and long-term advancement of the field.
Perception-Action Cycle by Vassilis Cutsuridis,Amir Hussain,John G. Taylor Pdf
The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.
