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"This book addresses the reticence of researchers to use computational modeling, advocating the wider use of this tool. Contributing authors describe their work in using computational modeling to study a wide range of problems, such as employee withdrawal; faking on personality tests; the formation, continuation, and dissolution of groups; and organizational change."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Book Synopsis Computational Modeling of Behavior in Organizations by : Daniel R. Ilgen
Download or read book Computational Modeling of Behavior in Organizations written by Daniel R. Ilgen and published by Amer Psychological Assn. This book was released on 2000-01-01 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses the reticence of researchers to use computational modeling, advocating the wider use of this tool. Contributing authors describe their work in using computational modeling to study a wide range of problems, such as employee withdrawal; faking on personality tests; the formation, continuation, and dissolution of groups; and organizational change."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
An introduction to the use of computer simulation in studying organizational behavior.
Book Synopsis Dynamics of Organizations by : Alessandro Lomi
Download or read book Dynamics of Organizations written by Alessandro Lomi and published by AAAI Press. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the use of computer simulation in studying organizational behavior.
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Book Synopsis Computational Modeling for Industrial-Organizational Psychologists by : Jeffrey B. Vancouver
Download or read book Computational Modeling for Industrial-Organizational Psychologists written by Jeffrey B. Vancouver and published by Taylor & Francis. This book was released on 2023-11-02 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Computer modelling is increasingly being used as a tool in the social and organizational sciences. Researchers use it to gain insights into organizational phenomena and to explore dynamic processes and configurations. This volume brings together work from researchers in this field.
Book Synopsis Simulating Organizations by : Michael J. Prietula
Download or read book Simulating Organizations written by Michael J. Prietula and published by AAAI Press. This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer modelling is increasingly being used as a tool in the social and organizational sciences. Researchers use it to gain insights into organizational phenomena and to explore dynamic processes and configurations. This volume brings together work from researchers in this field.
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa
Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.
Book Synopsis Modeling Human and Organizational Behavior by : Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations
Download or read book Modeling Human and Organizational Behavior written by Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations and published by National Academies Press. This book was released on 1998-08-14 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.
Book Synopsis Computational Modeling for Industrial-Organizational Psychologists by : Jeffrey B. Vancouver
Download or read book Computational Modeling for Industrial-Organizational Psychologists written by Jeffrey B. Vancouver and published by Taylor & Francis. This book was released on 2023-11-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.
Computational Organizational Cognition presents simulations to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice, demonstrating how AOC is an essential instrument to explore, understand and analyze the inner complexities of organizational cognition.
Book Synopsis Computational Organizational Cognition by : Davide Secchi
Download or read book Computational Organizational Cognition written by Davide Secchi and published by Emerald Group Publishing. This book was released on 2021-08-13 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Organizational Cognition presents simulations to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice, demonstrating how AOC is an essential instrument to explore, understand and analyze the inner complexities of organizational cognition.
Book Synopsis Modeling Behavior in Complex Public Health Systems by : Christopher R. Keane
Download or read book Modeling Behavior in Complex Public Health Systems written by Christopher R. Keane and published by Springer Publishing Company. This book was released on 2013-09-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Print+CourseSmart
An organization's operational structure can either enable or hinder its capability to plan and implement projects. This article examines--via computational models--a study that shows how organizations can improve project performance by changing their organization's structure. In doing so, it defines the study's approach (computational organization theory, or COT) and its methodology (virtual design team, or VDT), describing how the authors modeled and simulated the behavior of organizations under stress, such as those associated with the United States Department of Defense's (DoD) weapons system programs. It reviews the field's literature on three areas that are most relevant to this study; it describes the study's research design, summarizing the foundation and limitations of the three concepts--agent-based (VDT) modeling environment, computational organizational model, and experimental design--that that the authors used to inform their study on the dynamics shaping organizational behavior, concepts which organizations can use to identify those personnel concerns and behaviors that are considered common and those that are considered rare. It then explains the results of the study's computational experiment, detailing how the structural forms used by three hypothetical organizations--varying in degrees of hierarchy, centralization, formalization, autonomy, and empowerment--affects the way each organization performs while implementing projects.
Book Synopsis Computational Modeling of Project Organizations Under Stress by : John Dillard
Download or read book Computational Modeling of Project Organizations Under Stress written by John Dillard and published by . This book was released on 2007 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: An organization's operational structure can either enable or hinder its capability to plan and implement projects. This article examines--via computational models--a study that shows how organizations can improve project performance by changing their organization's structure. In doing so, it defines the study's approach (computational organization theory, or COT) and its methodology (virtual design team, or VDT), describing how the authors modeled and simulated the behavior of organizations under stress, such as those associated with the United States Department of Defense's (DoD) weapons system programs. It reviews the field's literature on three areas that are most relevant to this study; it describes the study's research design, summarizing the foundation and limitations of the three concepts--agent-based (VDT) modeling environment, computational organizational model, and experimental design--that that the authors used to inform their study on the dynamics shaping organizational behavior, concepts which organizations can use to identify those personnel concerns and behaviors that are considered common and those that are considered rare. It then explains the results of the study's computational experiment, detailing how the structural forms used by three hypothetical organizations--varying in degrees of hierarchy, centralization, formalization, autonomy, and empowerment--affects the way each organization performs while implementing projects.
