Download or read book Neuroeconomics written by Paul W. Glimcher and published by Academic Press. This book was released on 2013-08-13 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two decades in this rapidly expanding academic discipline. The first of these sections provides useful introductions to the disciplines of microeconomics, the psychology of judgment and decision, computational neuroscience, and anthropology for scholars and students seeking interdisciplinary breadth. The second section provides an overview of how human and animal preferences are represented in the mammalian nervous systems. Chapters on risk, time preferences, social preferences, emotion, pharmacology, and common neural currencies—each written by leading experts—lay out the foundations of neuroeconomic thought. The third section contains both overview and in-depth chapters on the fundamentals of reinforcement learning, value learning, and value representation. The fourth section, "The Neural Mechanisms for Choice, integrates what is known about the decision-making architecture into state-of-the-art models of how we make choices. The final section embeds these mechanisms in a larger social context, showing how these mechanisms function during social decision-making in both humans and animals. The book provides a historically rich exposition in each of its chapters and emphasizes both the accomplishments and the controversies in the field. A clear explanatory style and a single expository voice characterize all chapters, making core issues in economics, psychology, and neuroscience accessible to scholars from all disciplines. The volume is essential reading for anyone interested in neuroeconomics in particular or decision making in general. - Editors and contributing authors are among the acknowledged experts and founders in the field, making this the authoritative reference for neuroeconomics - Suitable as an advanced undergraduate or graduate textbook as well as a thorough reference for active researchers - Introductory chapters on economics, psychology, neuroscience, and anthropology provide students and scholars from any discipline with the keys to understanding this interdisciplinary field - Detailed chapters on subjects that include reinforcement learning, risk, inter-temporal choice, drift-diffusion models, game theory, and prospect theory make this an invaluable reference - Published in association with the Society for Neuroeconomics—www.neuroeconomics.org - Full-color presentation throughout with numerous carefully selected illustrations to highlight key concepts

Download or read book Neuroeconomics written by Paul E. Phillips and published by Frontiers E-books. This book was released on with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain is the organ of decision making, and evolved to maximize the outcomes desirable for the survival and reproduction of the species. Compared to the sensory and motor functions of the brain, however, the process of decision making is less accessible to direct experimental manipulations and hence requires more careful theoretical analyses. Indeed, the principle of optimality and frequent departures of human behaviors from those predicted for optimal rational decision makers have long been studied experimentally as well as theoretically. However, it is only recently that neurobiological studies of decision making started exploiting the framework previously developed in economics and psychology systematically. This cross-disciplinary research program, known as neuroeconomics, has already been enormously successful. Increasingly, neuroscientists benefit from the studies of utility theory, game theory, prospect theory, and reinforcement learning theory, and contribute to the refinement of such theories by providing more relevant empirical data. This Research Topic will showcase the recent advances in neuroeconomics that combine economic and behavioral analyses in neurobiological studies of value-based decision making.

Download or read book Neuroeconomics written by Daeyeol Lee and published by Elsevier Inc. Chapters. This book was released on 2013-08-13 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: We can often improve the outcomes of decisions in various social contexts as we become more familiar with the motives and strategies of other decision makers. However, the underlying neural mechanisms responsible for such learning remain poorly understood. The neural substrates of learning during social decision making have been studied at the level of single neurons in non-human primates trained in computer-simulated competitive games. The results from these studies have revealed that similar to humans, monkeys adjust their decision-making strategies using both model-free and model-based reinforcement learning algorithms. Neurophysiological recordings also indicate that these computational algorithms are supported by the broad network of cortical and subcortical areas, including the prefrontal cortex, posterior parietal cortex, basal ganglia, and superior colliculus.

Download or read book The Dynamic Brain written by Mingzhou Ding, PhD and published by Oxford University Press. This book was released on 2011-01-18 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This variability has in the past often been regarded as "noise." At the single neuron level, interspike interval (ISI) histograms constructed during either spontaneous or stimulus evoked activity reveal a Poisson type distribution. These observations have been taken as evidence that neurons are intrinsically "noisy" in their firing properties. In fact, the use of averaging techniques, like post-stimulus time histograms (PSTH) or event-related potentials (ERPs) have largely been justified based on the presence of what was believed to be noise in the neuronal responses. More recent attempts to measure the information content of single neuron spike trains have revealed that a surprising amount of information can be coded in spike trains even in the presence of trial-to-trial variability. Multiple single unit recording experiments have suggested that variability formerly attributed to noise in single cell recordings may instead simply reflect system-wide changes in cellular response properties. These observations raise the possibility that, at least at the level of neuronal coding, the variability seen in single neuron responses may not simply reflect an underlying noisy process. They further raise the very distinct possibility that noise may in fact contain real, meaningful information which is available for the nervous system in information processing. To understand how neurons work in concert to bring about coherent behavior and its breakdown in disease, neuroscientists now routinely record simultaneously from hundreds of different neurons and from different brain areas, and then attempt to evaluate the network activities by computing various interdependence measures, including cross correlation, phase synchronization and spectral coherence. This book examines neuronal variability from theoretical, experimental and clinical perspectives.

Download or read book Decision Neuroscience written by Jean-Claude Dreher and published by Academic Press. This book was released on 2016-09-27 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Neuroscience addresses fundamental questions about how the brain makes perceptual, value-based, and more complex decisions in non-social and social contexts. This book presents compelling neuroimaging, electrophysiological, lesional, and neurocomputational models in combination with hormonal and genetic approaches, which have led to a clearer understanding of the neural mechanisms behind how the brain makes decisions. The five parts of the book address distinct but inter-related topics and are designed to serve both as classroom introductions to major subareas in decision neuroscience and as advanced syntheses of all that has been accomplished in the last decade. Part I is devoted to anatomical, neurophysiological, pharmacological, and optogenetics animal studies on reinforcement-guided decision making, such as the representation of instructions, expectations, and outcomes; the updating of action values; and the evaluation process guiding choices between prospective rewards. Part II covers the topic of the neural representations of motivation, perceptual decision making, and value-based decision making in humans, combining neurcomputational models and brain imaging studies. Part III focuses on the rapidly developing field of social decision neuroscience, integrating recent mechanistic understanding of social decisions in both non-human primates and humans. Part IV covers clinical aspects involving disorders of decision making that link together basic research areas including systems, cognitive, and clinical neuroscience; this part examines dysfunctions of decision making in neurological and psychiatric disorders, such as Parkinson's disease, schizophrenia, behavioral addictions, and focal brain lesions. Part V focuses on the roles of various hormones (cortisol, oxytocin, ghrelin/leptine) and genes that underlie inter-individual differences observed with stress, food choices, and social decision-making processes. The volume is essential reading for anyone interested in decision making neuroscience. With contributions that are forward-looking assessments of the current and future issues faced by researchers, Decision Neuroscience is essential reading for anyone interested in decision-making neuroscience. - Provides comprehensive coverage of approaches to studying individual and social decision neuroscience, including primate neurophysiology, brain imaging in healthy humans and in various disorders, and genetic and hormonal influences on decision making - Covers multiple levels of analysis, from molecular mechanisms to neural-systems dynamics and computational models of how we make choices - Discusses clinical implications of process dysfunctions, including schizophrenia, Parkinson's disease, eating disorders, drug addiction, and pathological gambling - Features chapters from top international researchers in the field and full-color presentation throughout with numerous illustrations to highlight key concepts

Download or read book Neuroeconomics written by Xiao-Jing Wang and published by Elsevier Inc. Chapters. This book was released on 2013-08-13 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: All of the models developed in preceding chapters present analyses at the level of action potential firing rates in major output neurons. This is, however, only one kind of neurbiological modeling. A large and dynamic community of theorists also develop more biophysically detailed models that often make detailed and testable predictions about the dynamics of both neuronal firing rates and behavior. This chapter presents an example of that approach in the study of decision making. The chapter begins by developing biophysically plausible accumulator models of the type described in Chapter 19. It then goes on to show how such a circuit can be endowed with realistic reward-dependent learning to guide value-based decision making. A detailed explanation of how models of this kind account for dopamine-dependent reward learning is provided. The chapter concludes with a discussion of the behavior of models of this class in strategic games, during probabilistic inference and during “irrational” decision making.

Download or read book Foundations of Neuroeconomic Analysis written by Paul W. Glimcher and published by OUP USA. This book was released on 2011 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroeconomics has emerged at the border of the social and natural sciences. This book argues that a meaningful interdisciplinary synthesis of the study of human and animal choice is not only desirable, but also well underway, and so it is time to develop formally a foundational approach for the field.

Download or read book Proceedings of the Twenty first Annual Conference of the Cognitive Science Society written by Martin Hahn and published by Psychology Press. This book was released on 2020-12-22 with total page 847 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the complete collection of peer-reviewed presentations at the 1999 Cognitive Science Society meeting, including papers, poster abstracts, and descriptions of conference symposia. For students and researchers in all areas of cognitive science.

Download or read book The Complete Idiot s Guide to Game Theory written by Edward C. Rosenthal Ph.D. and published by Penguin. This book was released on 2011-03-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain some insight into the game of life... Game Theory means rigorous strategic thinking. It is based on the idea that everyone acts competitively and in his own best interest. With the help of mathematical models, it is possible to anticipate the actions of others in nearly all life's enterprises. This book includes down-to-earth examples and solutions, as well as charts and illustrations designed to help teach the concept. In The Complete Idiot's Guide® to Game Theory, Dr. Edward C. Rosenthal makes it easy to understand game theory with insights into: • The history of the discipline made popular by John Nash, the mathematician dramatized in the film A Beautiful Mind • The role of social behavior and psychology in this amazing discipline • How important game theory has become in our society and why

Download or read book Simulating Social Complexity written by Bruce Edmonds and published by Springer. This book was released on 2017-11-24 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

Download or read book Twenty Lectures on Algorithmic Game Theory written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2016-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

Download or read book Primate Neuroethology written by Asif A. Ghazanfar and published by Oxford University Press, USA. This book was released on 2012-08-16 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is the first of its kind to bridge the epistemological gap between primate ethologists and primate neurobiologists. Leading experts in several fields review work ranging from primate foraging behavior to the neurophysiology of motor control, from vocal communication to the functions of the auditory cortex.

Download or read book The Wiley Blackwell Handbook of Judgment and Decision Making written by Gideon Keren and published by John Wiley & Sons. This book was released on 2015-12-14 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes

Download or read book SIAM Journal on Control and Optimization written by Society for Industrial and Applied Mathematics and published by . This book was released on 2006 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mathematical Programming and Game Theory for Decision Making written by S. K. Neogy and published by World Scientific. This book was released on 2008 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents recent developments and state-of-the-art review in various areas of mathematical programming and game theory. It is a peer-reviewed research monograph under the ISI Platinum Jubilee Series on Statistical Science and Interdisciplinary Research. This volume provides a panoramic view of theory and the applications of the methods of mathematical programming to problems in statistics, finance, games and electrical networks. It also provides an important as well as timely overview of research trends and focuses on the exciting areas like support vector machines, bilevel programming, interior point method for convex quadratic programming, cooperative games, non-cooperative games and stochastic games. Researchers, professionals and advanced graduates will find the book an essential resource for current work in mathematical programming, game theory and their applications. Sample Chapter(s). Foreword (45 KB). Chapter 1: Mathematical Programming and its Applications in Finance (177 KB). Contents: Mathematical Programming and Its Applications in Finance (L C Thomas); Anti-Stalling Pivot Rule for Linear Programs with Totally Unimodular Coefficient Matrix (S N Kabadi & A P Punnen); A New Practically Efficient Interior Point Method for Convex Quadratic Programming (K G Murty); A General Framework for the Analysis of Sets of Constraints (R Caron & T Traynor), Tolerance-Based Algorithms for the Traveling Salesman Problem (D Ghosh et al.); On the Membership Problem of the Pedigree Polytope (T S Arthanari); Exact Algorithms for a One-Defective Vertex Colouring Problem (N Achuthan et al.); Complementarity Problem Involving a Vertical Block Matrix and Its Solution Using Neural Network Model (S K Neogy et al.); Fuzzy Twin Support Vector Machines for Pattern Classification (R Khemchandani et al.); An Overview of the Minimum Sum of Absolute Errors Regression (S C Narula & J F Wellington); Hedging Against the Market with No Short Selling (S A Clark & C Srinivasan); Mathematical Programming and Electrical Network Analysis II: Computational Linear Algebra Through Network Analysis (H Narayanan); Dynamic Optimal Control Policy in Price and Quality for High Technology Product (A K Bardhan & U Chanda); Forecasting for Supply Chain and Portfolio Management (K G Murty); Variational Analysis in Bilevel Programming (S Dempe et al.); Game Engineering (R J Aumann); Games of Connectivity (P Dubey & R Garg); A Robust Feedback Nash Equilibrium in a Climate Change Policy Game (M Hennlock); De Facto Delegation and Proposer Rules (H Imai & K Yonezaki); The Bargaining Set in Effectivity Function (D Razafimahatolotra); Dynamic Oligopoly as a Mixed Large Game OCo Toy Market (A Wiszniewska-Matyszkiel); On Some Classes of Balanced Games (R B Bapat); Market Equilibrium for Combinatorial Auctions and the Matching Core of Nonnegative TU Games (S Lahiri); Continuity, Manifolds, and Arrow''s Social Choice Problem (K Saukkonen); On a Mixture Class of Stochastic Games with Ordered Field Property (S K Neogy). Readership: Researchers, professionals and advanced students in mathematical programming, game theory, management sciences and computational mathematics.

Download or read book The Journal of Neuroscience written by and published by . This book was released on 2009 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Neuroscience and Psychophysiology of Experience Based Decisions written by Eldad Yechiam and published by Frontiers E-books. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: In experience-based decisions people learn to make decisions by sampling the relevant alternatives and getting feedback. The study of experience-based decisions has recently revealed some robust regularities that differ from how people make decisions based on descriptions. For example, people were found to underweight small probability events in experience-based decisions, while overweighting them in decisions based on descriptions (i.e. where the participants have full information about the outcome distributions but no feedback). This is now commonly referred to as the description-experience gap. In parallel to the recent advancement in Decision Science, neuroscientists have for a long while used the experience-based decisions paradigm for analyzing brain-behavior interactions. For example, phenomena such as the feedback-based Error-Related Negativity (fERN) in event-related potentials and the role of non-declarative knowledge in selecting advantageously were discovered using experience-based tasks. The goal of the current Research Topic is to combine two sources of knowledge concerning experience-based decisions: State of the art models in decision science, and neuroscientific and psychophysiological approaches that shed light on the working of the brain in these decisions. Also relevant are process-based analyses of fractions of behavior in these types of decisions. We consider original empirical work and theoretical analyses of existing datasets.