Yang, Zining. editor. edt http://id.loc.gov/vocabulary/relators/edt Krejci, Caroline. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access X, 316 p. 149 illus., 130 illus. in color. online resource. This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2023 annual conference of the Computational Social Science Society of the Americas (CSSSA). This conference is held in Santa Fe, New Mexico, November 2–5, 2023. CSS is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. Understanding Emergence Through Agent-Based Computation -- Agent-based foraging or When imperfect unbiased knowledge yields systematic deviation from ideally rational outcomes -- The differential ‘wisdom of crowds’: Using ChatGPT and the Twitter API to interrogate entire cultures -- Statistical Discrimination with Affirmative Action using Agent-based Modeling. edited by Zining Yang, Caroline Krejci. System theory Social sciences Data processing Schools of economics Mathematics Data processing Sociology Methodology Complex Systems Computer Application in Social and Behavioral Sciences Agent-based Economics Computational Mathematics and Numerical Analysis Sociological Methods Q295 9783031641930 https://doi.org/10.1007/978-3-031-64193-0 https://doi.org/10.1007/978-3-031-64193-0 241109 20251030113304.0 978-3-031-64193-0