This paper deals with the derivation of the mean-field limit for multi-agent systems on a large class of sparse graphs. More specifically, the case of non-exchangeable multi-agent systems consisting of non-identical agents is addressed. The analysis does not only involve PDEs and stochastic analysis but also graph theory through a new concept of limits of sparse graphs (extended graphons) that reflect the structure of the connectivities in the network and has critical effects on the collective dynamics. In this article some of the main restrictive hypothesis in the previous literature on the connectivities between the agents (dense graphs) and the cooperation between them (symmetric interactions) are removed
This paper studies interactions among homogeneous social groups within the framework of large popula...
We formulate the MFG limit for N interacting agents with a common noise as a single quasi-linear det...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
This paper deals with the derivation of the mean-field limit for multi-agent systems on a large clas...
This paper deals with the derivation of the mean-field limit for multi-agent systems on a large clas...
We consider heterogeneously interacting diffusive particle systems and their large population limit....
The study of large interacting particle systems has broad applications in many scientific fields suc...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
Mean Field Games (MFG) are the infinite-population analogue of symmetric stochastic differential gam...
In this paper we study the cooperative behavior of agents playing the Prisoner’s Dilemma game in ran...
We propose an approach to modeling large-scale multi-agent dynamical systems allowing interactions a...
We propose an approach to modeling large-scale multi-agent dynamical systems allowing interactions a...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
We propose an approach to modelling large-scale multi-agent dynamical systems allowing interactions ...
This paper studies interactions among homogeneous social groups within the framework of large popula...
We formulate the MFG limit for N interacting agents with a common noise as a single quasi-linear det...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
This paper deals with the derivation of the mean-field limit for multi-agent systems on a large clas...
This paper deals with the derivation of the mean-field limit for multi-agent systems on a large clas...
We consider heterogeneously interacting diffusive particle systems and their large population limit....
The study of large interacting particle systems has broad applications in many scientific fields suc...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
We consider a class of weakly interacting particle systems of mean-field type. The interactions betw...
Mean Field Games (MFG) are the infinite-population analogue of symmetric stochastic differential gam...
In this paper we study the cooperative behavior of agents playing the Prisoner’s Dilemma game in ran...
We propose an approach to modeling large-scale multi-agent dynamical systems allowing interactions a...
We propose an approach to modeling large-scale multi-agent dynamical systems allowing interactions a...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
We propose an approach to modelling large-scale multi-agent dynamical systems allowing interactions ...
This paper studies interactions among homogeneous social groups within the framework of large popula...
We formulate the MFG limit for N interacting agents with a common noise as a single quasi-linear det...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...