Details zur Publikation

Referenztyp Buchkapitel
DOI / URL Link
Titel (primär) Code reusability and transparency of agent-based modeling: A review from a cyberinfrastructure perspective
Titel (sekundär) High performance computing for geospatial applications
Autor Tang, W.; Grimm, V.; Tesfatsion, L.; Shook, E.; Bennett, D.; An, L.; Gong, Z.; Ye, X.;
Herausgeber Tang, W.; Wang, S.;
Journal / Serie Geotechnologies and the Environment
Erscheinungsjahr 2020
Department OESA;
Band/Volume Vol. 23
Sprache englisch;
POF III (gesamt) T53;
Keywords Agent-based models; Code reusability; Code transparency; Model sharing; Cyberinfrastructure
UFZ Bestand Leipzig, Bibliothek, Hauptlesesaal, 00534154, 20-0224 DK: 681.3.06 Hig
Abstract Agent-based models have been increasingly applied to the study of space-time dynamics in real-world systems driven by biophysical and social processes. For the sharing and communication of these models, code reusability and transparency play a pivotal role. In this chapter, we focus on code reusability and transparency of agent-based models from a cyberinfrastructure perspective. We identify challenges of code reusability and transparency in agent-based modeling and suggest how to overcome these challenges. As our findings reveal, while the understanding of and demands for code reuse and transparency are different in various domains, they are inherently related, and they contribute to each step of the agent-based modeling process. While the challenges to code development are daunting, continually evolving cyberinfrastructure-enabled computing technologies such as cloud computing, high-performance computing, and parallel computing tend to lower the computing-level learning curve and, more importantly, facilitate code reuse and transparency of agent-based models.
ID 23634
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23634
Tang, W., Grimm, V., Tesfatsion, L., Shook, E., Bennett, D., An, L., Gong, Z., Ye, X. (2020):
Code reusability and transparency of agent-based modeling: A review from a cyberinfrastructure perspective
In: Tang, W., Wang, S. (eds.)
High performance computing for geospatial applications
Geotechnologies and the Environment Vol. 23
Springer Nature, Cham, p. 115 - 134