A Unified Perspective of Evolutionary Game Dynamics Using Generalized Growth Transforms

11/05/2018
by   Oindrila Chatterjee, et al.
0

In this paper, we show that different types of evolutionary game dynamics are, in principle, special cases of a dynamical system model based on our previously reported framework of generalized growth transforms. The framework shows that different dynamics arise as a result of minimizing a population energy such that the population as a whole evolves to reach the most stable state. By introducing a population dependent time-constant in the generalized growth transform model, the proposed framework can be used to explain a vast repertoire of evolutionary dynamics, including some novel forms of game dynamics with non-linear payoffs.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/02/2022

Periodic orbits in evolutionary game dynamics: An information-theoretic perspective

Even though existence of non-convergent evolution of the states of popul...
research
04/11/2018

Coevolutionary Neural Population Models

We present a method for using neural networks to model evolutionary popu...
research
03/01/2022

Population games on dynamic community networks

In this letter, we deal with evolutionary game theoretic learning proces...
research
06/13/2021

The Impact of Irrational Behaviours in the Optional Prisoner's Dilemma with Game-Environment Feedback

In the optional prisoner's dilemma (OPD), players can choose to cooperat...
research
06/29/2020

The Evolutionary Dynamics of Independent Learning Agents in Population Games

Understanding the evolutionary dynamics of reinforcement learning under ...
research
02/26/2018

Environmental Policy Regulation and Corporate Compliance in a Spatial Evolutionary Game Model

We use an evolutionary game model to study the interplay between corpora...
research
08/30/2019

The economics of minority language use: theory and empirical evidence for a language game model

Language and cultural diversity is a fundamental aspect of the present w...

Please sign up or login with your details

Forgot password? Click here to reset