TY - JOUR
T1 - Dynamic Influence on Replicator Evolution for the Propagation of Competing Technologies
AU - Bolluyt, Elijah D.
AU - Comaniciu, Cristina
N1 - Publisher Copyright:
© 1997-2012 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - This letter introduces a novel modified replicator dynamics model, which includes external influences on the population. This framework models a realistic market into which companies, the external dynamic influences, invest resources in order to bolster their product's standing and increase their market share. The dynamic influences change in each time step of the game, and directly modify the payoff matrix of the population's interactions. The model can learn from real data how each influence affects the market, and can be used to simulate and predict the outcome of a real system. We specifically analyze how a new technology can compete and attempt to unseat an entrenched technology as the market leader. We establish a relationship between the external influences and the population payoff matrix and show how the system can be implemented to predict outcomes in a real market by simulating the rise of the Android mobile operating system over its primary competition, the iPhone, from 2009 to 2017.
AB - This letter introduces a novel modified replicator dynamics model, which includes external influences on the population. This framework models a realistic market into which companies, the external dynamic influences, invest resources in order to bolster their product's standing and increase their market share. The dynamic influences change in each time step of the game, and directly modify the payoff matrix of the population's interactions. The model can learn from real data how each influence affects the market, and can be used to simulate and predict the outcome of a real system. We specifically analyze how a new technology can compete and attempt to unseat an entrenched technology as the market leader. We establish a relationship between the external influences and the population payoff matrix and show how the system can be implemented to predict outcomes in a real market by simulating the rise of the Android mobile operating system over its primary competition, the iPhone, from 2009 to 2017.
KW - Evolutionary game theory
KW - product markets
KW - replicator dynamics
UR - http://www.scopus.com/inward/record.url?scp=85056713954&partnerID=8YFLogxK
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U2 - 10.1109/TEVC.2018.2881973
DO - 10.1109/TEVC.2018.2881973
M3 - Article
AN - SCOPUS:85056713954
SN - 1089-778X
VL - 23
SP - 899
EP - 903
JO - IEEE Transactions on Evolutionary Computation
JF - IEEE Transactions on Evolutionary Computation
IS - 5
M1 - 8540013
ER -