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Article
Human Development Dynamics: An Agent Based Simulation of Macro Social Systems and Individual Heterogeneous Evolutionary Games
Complex Adaptive Systems Modeling
  • Mark Abdollahian, Claremont Graduate University
  • Zining Yang, Claremont Graduate University
  • Travis Coan, Harvard University
  • Birol Yesilada, Portland State University
Document Type
Article
Publication Date
11-1-2013
Subjects
  • Adaptive computing systems,
  • Game theory -- Application to political science,
  • Multiagent systems,
  • Democratization
Abstract

Purpose: In the context of modernization and development, a complex adaptive systems framework can help address the coupling of macro social constraint and opportunity with individual agency. Combining system dynamics and agent based modeling, we formalize a simulation approach of the Human Development (HD) perspective to explore the interactive effects of economics, culture, society and politics across multiple human scales.

Methods: Based on a system of asymmetric, coupled nonlinear equations, we first capture the core qualitative logic of HD theory, empirically validated from World Values Survey (WVS) data. Using a simple evolutionary game approach, second we fuse endogenously derived individual socio-economic attribute changes with Prisoner’s Dilemma in an agent based model of the interactive political-cultural effects of heterogeneous, spatial intra-societal economic transactions. We then explore a new human development dynamics (HDD) model behavior via quasiglobal simulation methods to identify paths and pitfalls towards economic development, cultural plasticity, social and political change behavior.

Results: Our preliminary results suggest strong nonlinear path dependence and complexity in three areas: adaptive development processes, co-evolutionary societal transactions and near equilibrium development trajectories, with significant implications for anticipating and managing positive development outcomes. Strong local epistatic interactions characterized by adaptive co-evolution, shape higher order global conditions and ultimately societal outcomes.

Conclusions: Techno-social simulations such as this can provide scholars and policymakers alike insights into the nonlinear, complex adaptive effects of societal co-evolution. We believe complex adaptive or evolutionary systems approaches are necessary to understand both near and potentially catastrophic, far-from-equilibrium behavior and societal outcomes across all human scales of modernization.

Description

© Abdollahian et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DOI
10.1186/2194-3206-1-18
Persistent Identifier
http://archives.pdx.edu/ds/psu/10954
Citation Information
Abdollahian et al.: Human development dynamics: an agent based simulation of macro social systems and individual heterogeneous evolutionary games. Complex Adaptive Systems Modeling, 2013, 1:18