Network for
Agent-based modelling of
Socio-ecological
Systems in
Archaeology

First algorithm added to library

Not all those who wander are lost. But these agents definitely are.

NASSA contributors have been hard at work producing a generic random walk algorithm in three different programming languages: Python, R and NetLogo.

These entries serve as a proof of concept of how the NASSA collaboration means to develop its content in the future: directly accessible code, supported by extensive documentation and examples.

You can find them here:

2021-Angourakis-001: Random walk in 2D space based on agent angle orientation

2021-Galan-001: Random walk in data frames

2021-Romanowska-001: Pedestrian random walk in NetLogo (ch2.1)


by   Andreas Angourakis   @Andros-Spica