@inproceedings{49c9276369c3446e9d8d3e044884b944,
title = "A Complex Adaptive System Approach for Anticipating Technology Diffusion, Income Inequality and Economic Recovery",
abstract = "Technology progress challenges equilibrium structures of human, social, cultural and behavioral systems. These are seen in {\textquoteleft}new normals{\textquoteright} of discontinuous market changes and nonlinear trend dynamics underpinning new individual behavior and human connectivity. Here we instantiate an agent based model integrated in a CAS framework of micro individual socio-economic transactions games empowered by technology and played on different economic network structures and market sophistication for anticipating macroeconomic and social equality outcomes. We explore scenario comparisons across GDP shocks and their impact on inequality, market behavior and recovery patterns. Several different V, U, L and W-shaped macro recovery patterns are categorized specifically dependent on such CAS structures. More sophisticated markets with preferential connectivity tend to offer lower levels of inequality and are more economically robust than less developed, randomly connected, transactional markets. High resolution computational approaches such as this can offer policymakers deeper insights and more actionable policy levers to achieve desired socio-economic outcomes in times of crisis.",
keywords = "Agent-based Modeling (ABM), Co-evolution, Complex adaptive system, Economic growth, Economic recovery, Technology adoption",
author = "Mark Abdollahian and Chang, \{Yi Ling\} and Lee, \{Yuan Yuan\}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 21st International Conference on Computational Science and Its Applications, ICCSA 2021 ; Conference date: 13-09-2021 Through 16-09-2021",
year = "2021",
doi = "10.1007/978-3-030-86960-1\_18",
language = "English",
isbn = "9783030869595",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "251--262",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Apduhan, \{Bernady O.\} and Rocha, \{Ana Maria\} and Eufemia Tarantino and Torre, \{Carmelo Maria\}",
booktitle = "Computational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings",
}