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| Autore: |
Yang Zining
|
| Titolo: |
Proceedings of the 2024 International Conference of The Computational Social Science Society of the Americas : CSSSA 2024, October 24–27, Santa Fe, USA / / edited by Zining Yang, Elizabeth von Briesen
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (349 pages) |
| Disciplina: | 530.1 |
| Soggetto topico: | System theory |
| Mathematical physics | |
| Mathematics - Data processing | |
| Application software | |
| Artificial intelligence | |
| Complex Systems | |
| Theoretical, Mathematical and Computational Physics | |
| Computational Mathematics and Numerical Analysis | |
| Computer and Information Systems Applications | |
| Artificial Intelligence | |
| Altri autori: |
von BriesenElizabeth
|
| Nota di contenuto: | Belief Evolution in Society Over Time: Dynamics Based on Random and Homophily-Based Networks, and Applications -- Retention in Higher Education: An Agent-Based Model of Social Interactions and Motivated Agent Behavior -- Micro, Meso, Macro: Generic Structures of Social Complexity for Defense Systems Engineering & National Security Wargames -- Classifying Noisy Human Signals Using Topological Data Analysis -- MADmax: Multi-Agent Trust Dynamics and Influence Maximization -- Gardening Contagion: Using Agent-Based Modeling to Examine Growth and Persistence of Food-Secure Communities -- Recommending Defenses Against Cyber Threats: An Approach Inspired by Machine Translation -- On Representing Knightian Uncertainty in Agent-Based Models -- Engaging Communities in Developing Technologies to Support Community Flourishing: A Workshop Report -- Generational Taste Formation and Cultural Markets: A Develecological Approach to Cultural Change -- Analysis of FPDS-NG Data for Economic Influence -- Intelligent Agent Interactions for Southwest Border Interdictions -- Scaling Agent-Based Model Outputs Using Network Analysis -- Modeling the Evacuation from a Regional Disaster Using the Poisson distribution -- Graph Neural Differential Equations for Coarse-Grained Socioeconomic Dynamics. |
| Sommario/riassunto: | This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 24th International Conference on Computational Science and Its Applications organized by the Computational Social Science Society of the Americas (CSSSA). 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. |
| Titolo autorizzato: | Proceedings of the 2024 International Conference of the Computational Social Science Society of the Americas ![]() |
| ISBN: | 3-031-89692-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911034956303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |