Panel discussion: Moving social-behavioral modeling forward

Angela O'Mahony, Paul K. Davis, Scott Appling, Matthew E. Brashears, Erica Briscoe, Kathleen M. Carley, Joshua M. Epstein, Luke J. Matthews, Theodore P. Pavlic, William Rand, Scott Neal Reilly, William B. Rouse, Samarth Swarup, Andreas Tolk, Raffaele Vardavas, Levent Yilmaz

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Contributors offered suggestions to improve multi-scale modeling that focused mainly on getting model substance right. This chapter is an edited but not iterated recounting of responses to questions that deal with simulation and emergence, how to relate models at different levels of resolution, and how to assure more humanness in agents. Contributors differed on whether simulations can generate true emergence but differed also on what true means. In simulating human behavior, multi-scale investigations are often necessary because, e.g. not enough empirical data is available to establish the true causal relationships at a single level. In many cases social-behavioral problems are complex and volatile and the environmental volatility is such that by the time the training sets are developed they are no longer useful and that it is unlikely that all information can be known and processed - at least in the time available.

Original languageEnglish (US)
Title of host publicationSocial-Behavioral Modeling for Complex Systems
PublisherWiley
Pages753-787
Number of pages35
ISBN (Electronic)9781119485001
ISBN (Print)9781119484967
DOIs
StatePublished - Mar 29 2019

Keywords

  • Computational simulations
  • Environmental volatility
  • Multi-scale modeling
  • Ontological emergence
  • Social-behavioral problems

ASJC Scopus subject areas

  • Engineering(all)

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