77 citations · 120 across the 16 of their papers we have counts for
5 papers · 1 filter
Automatic Differentiation of Agent-Based Models
Arnau Quera-Bofarull, Nicholas Bishop, Joel Dyer +4
Agent-based models (ABMs) simulate complex systems by capturing the bottom-up interactions of individual agents comprising the system. Many complex systems of interest, such as epi…
Interventionally Consistent Surrogates for Agent-based Simulators
Joel Dyer, Nicholas Bishop, Yorgos Felekis +4
Agent-based simulators provide granular representations of complex intelligent systems by directly modelling the interactions of the system's constituent agents. Their high-fidelit…
Some challenges of calibrating differentiable agent-based models
Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu +1
Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete natu…
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu +2
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiab…
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Joel Dyer, Patrick Cannon, J. Doyne Farmer +1
Calibrating agent-based models (ABMs) to data is among the most fundamental requirements to ensure the model fulfils its desired purpose. In recent years, simulation-based inferenc…