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Recent Releases of abm

abm - v1.4.0 - Evolutionary Optimization Framework

In this version we can use evolutionary optimization to evolve arbitrary "genes" given as env variable names.

- Python
Published by mezdahun over 3 years ago

abm - v1.3.0 - Dockerized Headless Simulation

What's Changed

  • Feature/docker by @mezdahun in https://github.com/scioip34/ABM/pull/32
  • Feature/dockerhub connect by @mezdahun in https://github.com/scioip34/ABM/pull/33

Full Changelog: https://github.com/scioip34/ABM/compare/v1.2.0...v1.3.0

- Python
Published by mezdahun over 4 years ago

abm - v1.2.0 - Playground Tool

In this version we created a new interactive playground tool to experiment with mdoel parameters and to show the resulting swarm behavior with the help of recorded videos. Furthermore, we prepared the creation of a fully headless simulation version for high prformance cluster computing.

What's Changed

  • Feature/headless by @mezdahun in https://github.com/scioip34/ABM/pull/30
  • Feature/interactive tool by @mezdahun in https://github.com/scioip34/ABM/pull/31

Full Changelog: https://github.com/scioip34/ABM/compare/v1.1.0...v1.2.0

- Python
Published by mezdahun over 4 years ago

abm - v1.1.0 - Replay Tool

This version includes fixes, improved data storage and summarization as well as a replay tool that allows the user to interactively visualize large batches of experimental datasets

What's Changed

  • Feature/create experiments by @mezdahun in https://github.com/scioip34/ABM/pull/27
  • Feature/parallel run by @mezdahun in https://github.com/scioip34/ABM/pull/28
  • Feature/replay by @mezdahun in https://github.com/scioip34/ABM/pull/29

Full Changelog: https://github.com/scioip34/ABM/compare/v1.0.0...v1.1.0

- Python
Published by mezdahun over 4 years ago

abm - v1.0.0 - Decision based weighing model

This version is the first fully functional ABM framework of our mathematical model to balance private and public informations during collective foraging.

- Python
Published by mezdahun over 4 years ago

abm - Base Behavior

We sketched up how the agents and the environment should work, although with very ad-hoc methods of relocation. The underlying mechanisms do not reflect our planned mechanistic implementation with decision variables.

- Python
Published by mezdahun over 4 years ago