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Dynamic Games and Applications OnlineFirst articles


Jump Equilibria in Public-Good Differential Games with a Single State Variable

A simple sufficient condition is proved for symmetric Markov subgame perfect Nash equilibria in public-good differential games with a single state variable. The condition admits equilibria in feedback strategies that have discontinuous dependence …


Science, Technology and Institutional Change in Knowledge Production: An Evolutionary Game Theoretic Framework

We model the interaction between science and technology using an evolutionary game theoretic framework. Conflictual rather than synergistic relation between science and technology is assumed, in which they rely on openness and secrecy as …


Noise-Induced Quasi-Heteroclinic Cycle in a Rock–Paper–Scissors Game with Random Payoffs

The rock–paper–scissors game is one of the main theoretical models in evolutionary game theory and has been used successfully to explain some observed phenomena in biology, economics and social science. In order to explore the influence of …


Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games

This paper addresses the problem of learning an equilibrium efficiently in general-sum Markov games through decentralized multi-agent reinforcement learning. Given the fundamental difficulty of calculating a Nash equilibrium (NE), we instead aim …


Epidemic Spreading and Equilibrium Social Distancing in Heterogeneous Networks

We study a multi-type SIR epidemic process within a heterogeneous population that interacts through a network. We base social contact on a random graph with given vertex degrees, and we give limit theorems on the fraction of infected individuals.

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Dynamic Games and Applications is devoted to the development of all classes of dynamic games, namely, differential games, discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in all fields, including:

* biology;

* computer science;

* ecology;

* economics;

* engineering;

* management science;

* operations research;

* political science;

* psychology.

DGAA seeks original research that makes significant methodological, conceptual, algorithmic, or empirical contributions to various disciplines. DGAA also considers work in static game theory and dynamic optimization provided that authors establish a clear, potential link to dynamic games. DGAA publishes regular papers, technical notes, survey articles, and case studies.

All submissions should be original in nature. During the peer review process, to promote scientific honesty and high standards, submitted manuscripts go through one or more revision stages leading up to acceptance or rejection. Each paper is reviewed by at least two experts in the field.

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