Dooders

Latest version: v1.3.0

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0.3.0

Completed the first complete and working version of the SDK.

There is still more work to be done but this was an important milestone

0.2.0

New Features

Movement Policies

RandomMove

This policy will take a list of all adjacent locations and will choose a random location

RuleBased

This policy will identify all neighboring objects and creates a list of locations with energy. Then a random location is chosen, if there are no neighboring energy objects, the Dooder will not move.

Simple Artificial Neural Network

This policy will use a simple ANN to determine the best location to move to. The model, for the time being, will have 9 inputs (one for each location) and 9 outputs (one for each location). The neural network will need to select the best option, and will learn over its lifetime.

More details on the results of the Movement Policy design can be found [here](https://github.com/csmangum/Dooders/blob/main/docs/plans/MovementPolicy.md)

Location Class

Class that provided methods and attributes for every location in the environment. A location is any cell within the grid.

Code can be found [here](https://github.com/csmangum/Dooders/blob/main/sdk/modules/location.py)

Neighborhood Class

Returns Location objects for the locations adjacent to the Dooder, with additional methods and attributes

Code can be found [here](https://github.com/csmangum/Dooders/blob/main/sdk/modules/neighborhood.py)

0.1.0

Breakpoint for first experiments

Links

Releases

Has known vulnerabilities

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