Search Results for "agent based modelling"

...Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time.

...The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent.

ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX expressions. ...

The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS.

ParMa provides several ways to define and read parameter settings for ABM ant therefore facilitates the organisation of model parameter settings.