Overview

This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.  

Full Product Details

Author:   Flaminio Squazzoni
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   1.099kg
ISBN:  

9783031349195

ISBN 10:   3031349199
Pages:   601
Publication Date:   02 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Applications of agent-based modelling in social sciences Agent-based computational economics & finance Conflict resolution & cooperation Coupled human-natural systems Diffusion of innovations Dynamics of trust, social norm, structures, reputation & opinion Epidemiology & pharma-economics Group decisions & collective behaviours Market design, mechanism design & auctions Privacy, safety & security Public policy & regulatory issues Resource management, environmental practices & policy Social emergence & evolution of institutions Social media and volunteered information Social networks and their dynamics Tools and methods for development of simulation models Advanced distributed computing Agent ontologies Agent-embodied Artificial Intelligence Model replication, verification & validation Participatory & Human-in-the-Loop simulations Simulation software & programming computational frameworks Techniques for visualizing, interpreting and analysing simulation outputs Coupling simulations and optimization methods Data analysis software for simulations Experiment design and data farming for simulations Simulation metamodels Statistical & data mining techniques for simulated data

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