Nomadic Theory in the AI-driven Economy and Its Evolutionary Analysis

DOI

10.2991/978-94-6239-774-3_9How to use a DOI?

Keywords

Nomadic Game; Digital Nomadism; Remote Work

Abstract

The rapid integration of artificial intelligence and information technology has transformed the feasibility of cross-regional remote work. Yet, as these mobile professionals migrate, they inevitably precipitate competition over local social resources that are strictly bound by capacity limits. To capture the friction and behavioral shifts inherent in these remote-work ecosystems, we formulate a continuous-time nomadic game model. We find that the trajectory of this system is jointly dictated by resource limits, the efficacy of institutional rules, and the agents’ own experiential learning. This model elucidates the underlying mechanisms required to sustain cooperation and navigate structural transitions within the contemporary AI-driven economy.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xianwei Zhou
AU  - Yidong Jia
PY  - 2026
DA  - 2026/09/11
TI  - Nomadic Theory in the AI-driven Economy and Its Evolutionary Analysis
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 93
EP  - 101
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_9
DO  - 10.2991/978-94-6239-774-3_9
ID  - Zhou2026
ER  -