Agent-Based Models (Part 5) | Azimuth
Agent-based models are crucial in modern epidemiology. But currently, many of these models are large monolithic computer programs—opaque to everyone but their creators. That’s no way to…| Azimuth
Agent-based models are crucial in modern epidemiology. But currently, many of these models are large monolithic computer programs—opaque to everyone but their creators. That’s no way to…| Azimuth
I learned a lot from the comments on Part 3 and also this related thread on the Category Theory Community Server: • Coalgebras, operational semantics and the Giry monad. I’d like to than…| Azimuth
By next summer I need to understand agent-based models well enough to help people design better software for such models using category theory. And recently this project has been folded into an eve…| Azimuth
I’m working with Nate Osgood and other folks to develop better modeling tools for epidemiologists. Right now we’re trying to develop a category-based framework for agent-based models. I…| Azimuth
Our 6-week Edinburgh meeting for creating category-based software for agent-based models is done, yet my collaborators are still busy improving and expanding this software. I want to say more about…| Azimuth
Today I’d like to wrap up my discussion of how to implement the Game of Life in our agent-based model software called AlgebraicABMs. Kris Brown’s software for the Game of Life is here: …| Azimuth
Last time I began explaining how to run the Game of Life on our software for stochastic C-set rewriting systems. Remember that a stochastic stochastic C-set rewriting system consists of three parts…| Azimuth
We’ve been hard at work here in Edinburgh. Kris Brown has created Julia code to implement the ‘stochastic C-set rewriting systems’ I described last time. I want to start explainin…| Azimuth
Since May 1st, Kris Brown, Nathaniel Osgood, Xiaoyan Li, William Waites and I have been meeting daily in James Clerk Maxwell’s childhood home in Edinburgh. We’re hard at work on our pro…| Azimuth
Last time I presented a class of agent-based models where agents hop around a graph in a stochastic way. Each vertex of the graph is some ‘state’ agents can be in, and each edge is call…| Azimuth
Last time I presented a simple, limited class of agent-based models where each agent independently hops around a graph. I wrote: Today the probability for an agent to hop from one vertex of the gra…| Azimuth
Today I’d like to start explaining an approach to stochastic time evolution for ‘state charts’, a common approach to agent based models. This is ultimately supposed to interact we…| Azimuth
Some news! Nathaniel Osgood, Evan Patterson, Kris Brown, Xiaoyan Li, Sean Wu, William Waites and I are going to work together at the International Centre for Mathematical Sciences for six weeks sta…| Azimuth
