Evolutionary dynamics of gig economy labor strategies under technology, policy and market influence

DOI10.3390/g12020049zbMath1479.91172arXiv2103.13234OpenAlexW3171986792WikidataQ122312976 ScholiaQ122312976MaRDI QIDQ2052553

Kevin Hu, Feng Fu

Publication date: 26 November 2021

Published in: Games (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.13234

zbMATH Keywords

social learningevolutionary game theoryevolutionary economicsoscillatory dynamicsgig worker

Mathematics Subject Classification ID

Applications of game theory (91A80) Evolutionary games (91A22) Labor markets (91B39) Social learning (91D15)

Cites Work

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• Evolutionarily stable strategies and game dynamics
• Asymmetric evolutionary games with environmental feedback
• Fixation probabilities for the Moran process in evolutionary games with two strategies: graph shapes and large population asymptotics
• Statistical physics of human cooperation
• A differential game model of labor-management negotiation during a strike
• The replicator equation and other game dynamics
• The Bargaining Problem
• John von Neumann’s work in the theory of games and mathematical economics
• Evolutionary Games and Population Dynamics
• Ergodic theory of chaos and strange attractors
• A Co-evolutionary Model for Human Capital and Innovative Firms
• Steering eco-evolutionary game dynamics with manifold control
• The Logic of Animal Conflict

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