Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets

Author:

Gao Hao1ORCID,Lin Alex2ORCID,Banez Reginald A.1ORCID,Li Wuchen3,Han Zhu4ORCID,Osher Stanley2ORCID,Poor H. Vincent5ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

2. Department of Mathematics, University of California, Los Angeles, CA, USA

3. Department of Mathematics, University of South Carolina, Columbia, USA

4. Department of Electrical and Computer Engineering, University of Houston, Houston, USA

5. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

National Science Foundation

Multidisciplinary University Research Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Reference38 articles.

1. Continuity equation,0

2. Beyond the Triangle

3. Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games

4. The variational structure and time-periodic solutions for mean-field games systems;cirant;Minimax Theory and Applications,2018

5. Algorithm for Hamilton–Jacobi Equations in Density Space Via a Generalized Hopf Formula

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