Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo.
Agent-based modeling of artificial societies allows for the validation and analysis of human-interpretable, causal explanations of human behavior that generate society-scale phenomena. However, parameter calibration is insufficient to conduct data-driven explorations that are adequate in evaluating...
Main Authors: | Chathika Gunaratne, Ivan Garibay |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0239922 |
Similar Items
-
NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces
by: Chathika Gunaratne, et al.
Published: (2021-12-01) -
Ancestral Landscapes of the Pueblo World
Published: (2022) -
Inferring mechanisms of response prioritization on social media under information overload
by: Chathika Gunaratne, et al.
Published: (2021-01-01) -
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media
by: Chathurani Senevirathna, et al.
Published: (2021-01-01) -
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media
by: Senevirathna, Chathurani, et al.
Published: (2022)