6533b870fe1ef96bd12cfd06

RESEARCH PRODUCT

The Artificial Society Analytics Platform

Ivan Puga-gonzalezWesley J. WildmanSaikou Y. DialloF. Leron ShultsDavid Voas

subject

Agent-based modelAgent-based ModellingComputer scienceProcess (engineering)business.industryArtificial societyBest practiceData scienceSocial dynamicsAnalyticsCredibilityVDP::Samfunnsvitenskap: 200businessVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230Social simulation

description

Author's accepted manuscript Social simulation routinely involves the construction of artificial societies and agents within such societies. Currently there is insufficient discussion of best practices regarding the construction process. This chapter introduces the artificial society analytics platform (ASAP) as a way to spark discussion of best practices. ASAP is designed to be an extensible architecture capable of functioning as the core of many different types of inquiries into social dynamics. Here we describe ASAP, focusing on design decisions in several key areas, thereby exposing our assumptions and reasoning to critical scrutiny, hoping for discussion that can advance debate over best practices in artificial society construction. The five design decisions are related to agent characteristics, neighborhood interactions, evaluating agent credibility, agent marriage, and heritability of personality.

yearjournalcountryeditionlanguage
2020-01-01
https://hdl.handle.net/11250/3058198