abm contains a number of Mata classes intended to help manage various aspects of an Agent Based model. An Agent Based Model is a simulation in which agents, that each follow simple rules, interact with one another and thus produce a often surprising outcome at the macro level. The purpose of an ABM is to explore mechanisms through which actions of the individual agents add up to a macro outcome, by varying the rules that agents have to follow or varying with whom the agent can interact (i.e. varying the network).
Implementing a new ABM will always require that person developing the ABM does some programming, but many tasks will be similar across ABMs. For example, in many ABMs the agents live on a square grid (like a chessboard), and can only interact with their neighbours. The abm_grid class, which is part of the ABM package contains a set of Mata functions that will do those task. Alternatively, the agents could live in a network, and the abm_nw is there to handle that case.
The abm package supercedes the separate abm_grid, abm_nw, and abm_pop classes.
The easiest way to install this is using E. F. Haghish's github command (https://haghish.github.io/github/). After you have installed that, you can install abm by typing in Stata: github install maartenteaches/abm. Alternatively, abm can be installed without the github command by typing in Stata net install abm, from("https://raw.githubusercontent.com/maartenteaches/abm/release"). Both will install the Mata library with the help-files, but not the source code. The source code is available on the github repository (https://github.com/maartenteaches/abm_pop).
Implementing a new ABM will always require that person developing the ABM does some programming, but many tasks will be similar across ABMs. For example, in many ABMs the agents live on a square grid (like a chessboard), and can only interact with their neighbours. The abm_grid class, which is part of the ABM package contains a set of Mata functions that will do those task. Alternatively, the agents could live in a network, and the abm_nw is there to handle that case.
The abm package supercedes the separate abm_grid, abm_nw, and abm_pop classes.
The easiest way to install this is using E. F. Haghish's github command (https://haghish.github.io/github/). After you have installed that, you can install abm by typing in Stata: github install maartenteaches/abm. Alternatively, abm can be installed without the github command by typing in Stata net install abm, from("https://raw.githubusercontent.com/maartenteaches/abm/release"). Both will install the Mata library with the help-files, but not the source code. The source code is available on the github repository (https://github.com/maartenteaches/abm_pop).
