In-Silico Models With Greater Fidelity to Social Processes: Towards ABM Platforms With Realistic Concurrency

Santiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy, Jeffrey Graham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, motivated by conceptual and computational considerations, we argue in favor of improved fidelity of ABMs in relation to the social processes they attempt to model. With ordering and concurrency characteristics of social interactions as our focus, we identify potential for innovations in ABM platforms using two elements: the SPEC framework of social primitives; and ongoing development of SPEC-ABM software platform, highlight relevant aspects of the intersection among conceptual, formal and technical perspectives, using Elixir as the programming language of choice for our implementation efforts.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 Conference of The Computational Social Science Society of the Americas
EditorsZining Yang, Elizabeth von Briesen
PublisherSpringer
Pages155-169
Number of pages15
ISBN (Print)9783030834173
DOIs
StatePublished - 2021

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

ASJC Scopus subject areas

  • Applied Mathematics
  • Modeling and Simulation
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'In-Silico Models With Greater Fidelity to Social Processes: Towards ABM Platforms With Realistic Concurrency'. Together they form a unique fingerprint.

Cite this