2 citations · 5 across the 5 of their papers we have counts for
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cs.MA2022
Data assimilation with agent-based models using Markov chain sampling
Daniel Tang, Nick Malleson
Every day, weather forecasting centres around the world make use of noisy, incomplete observations of the atmosphere to update their weather forecasts. This process is known as dat…
cs.MA2020
Finding the maximum-a-posteriori behaviour of agents in an agent-based model
Daniel Tang
In this paper we consider the problem of finding the most probable set of events that could have led to a set of partial, noisy observations of some dynamical system. In particular…
cs.MA2019★ 1 cited
Data assimilation in Agent-based models using creation and annihilation operators
Daniel Tang
Agent-based models are a powerful tool for studying the behaviour of complex systems that can be described in terms of multiple, interacting ``agents''. However, because of their i…