Olaaaf is a general adaptation prototype based on belief revision whose long-term aim is to cover a broad range of adaptation processes. It is based on a formalism that covers both attribute-value pairs (often used for representing cases) and taxonomies (often used for representing domain knowledge).

• Dependencies
• Usage
• Examples
• Video Demonstration
• Documentation
• License

Please note that each dependency might work with an earlier version. However, they haven't been tested and aren't officialy supported.

• Python v3.10.13 or higher.
• tqdm v4.65.0 or higher.
• Pyparsing v3.0.9 or higher.
• SciPy v1.11.4 or higher.

• LPSolve v5.5.2.0 or higher.
  • Since LPSolve isn't officially available for Python 3, Chandrasekhar Atina's wrapper is used.
• matplotlib v3.8.0 or higher.

To install Olaaaf, first download the latest release here (although a .tar.gz is available if necessary, The .whl file is recommended)

Once downloaded, install the package using pip:

pip install ./olaaaf-1.0.whl

Once installed, you can import olaaaf from anywhere like a standard Python package

from olaaaf import *

For in-depth examples, feel free to look at the Examples and Video Demonstration sections.

As of right now, four examples are availabe for you to go through. Namely:

• Example 1 is the adaptation of a banana milkshake recipe to obtain a kiwi milkshake recipe.
• Example 2 is the adaptation of a banana milkshake recipe to obtain a kiwi milkshake recipe, with no banana.
• Example 3 is the adaptation of a banana milkshake recipe to obtain a kiwi milkshake recipe, while conserving the same number of fruit types between the two recipes.
• Example 4 is the adaptation of a carrot and cabbage salad to remove the vinegar, using an adaptation rule.

The execution of Example 3 can be watched in this video:

Olaaaf's documentation is available here.

Olaaaf is published under the MIT License.