Computational Social Psychology

Computational Social Psychology
Author: Robin R. Vallacher
Publisher: Routledge
Total Pages: 694
Release: 2017-05-25
Genre: Psychology
ISBN: 1351701673

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology
Author: Ron Sun
Publisher: Cambridge University Press
Total Pages: 767
Release: 2008-04-28
Genre: Computers
ISBN: 0521674107

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

Handbook of Computational Social Science, Volume 1

Handbook of Computational Social Science, Volume 1
Author: Uwe Engel
Publisher: Taylor & Francis
Total Pages: 417
Release: 2021-11-10
Genre: Computers
ISBN: 1000448584

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Introduction to Computational Cultural Psychology

Introduction to Computational Cultural Psychology
Author: Yair Neuman
Publisher: Cambridge University Press
Total Pages: 229
Release: 2014-02-06
Genre: Psychology
ISBN: 1107729238

Human psychology is deeply rooted in the culture in which people live. Introduction to Computational Cultural Psychology introduces a revolutionary approach for studying cultural psychology. Drawing on novel computational tools and in-depth case studies, Professor Yair Neuman offers thought-provoking answers to questions such as: how are thought and language deeply related? How can computers help us to understand different cultures? How can computers assist military intelligence in identifying vengeful intentions? And how is our concept of 'love' rooted in our basic embodied experience? Written by a leading interdisciplinary researcher this book is a 'tour-de-force' which will be of interest to a variety of researchers, students and practitioners in psychology as well as an interdisciplinary audience with an interest in the intricate web weaved between the human psyche and its cultural context.

Computational Social Psychology

Computational Social Psychology
Author: Robin R. Vallacher
Publisher: Routledge
Total Pages: 694
Release: 2017-05-25
Genre: Psychology
ISBN: 1351701673

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.

Computational Modeling

Computational Modeling
Author: Charles S. Taber
Publisher: SAGE
Total Pages: 108
Release: 1996-03-21
Genre: Computers
ISBN: 9780803972704

In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.

Handbook of Computational Social Science, Volume 2

Handbook of Computational Social Science, Volume 2
Author: Uwe Engel
Publisher: Routledge
Total Pages: 477
Release: 2021-11-10
Genre: Computers
ISBN: 1000448622

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Introduction to Computational Social Science

Introduction to Computational Social Science
Author: Claudio Cioffi-Revilla
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2013-12-31
Genre: Computers
ISBN: 1447156617

This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.

Computational Models of Brain and Behavior

Computational Models of Brain and Behavior
Author: Ahmed A. Moustafa
Publisher: John Wiley & Sons
Total Pages: 588
Release: 2017-09-11
Genre: Psychology
ISBN: 1119159075

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.