Proceedings of the 2024 International Conference of The Computational Social Science Society of the Americas

CSSSA 2024, October 24-27, Santa Fe, USA
Angebot€223,63
inkl. MwSt. • Kein physischer Versand
Sofort per Download lieferbar
Nach dem Kauf direkt als Download verfügbar.

E-Book
eBook-Format:PDF

Benachrichtigung aktivieren

Wir informieren Sie per E-Mail, sobald dieses Produkt wieder verfügbar ist.

Inhaltsangabe

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.

Produktdetails
  • Erscheinungsdatum: 11.10.2025
  • Autor/Autorin: Zining Yang
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 20.8 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 258 Seiten
  • ISBN: 9783031896927
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
Springer Nature Customer Service Center GmbH

Email: ProductSafety@springernature.com