Artificial Immune Systems Package.

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Package documentation / Documentação do pacote:

• Docs.

• Wiki Github.

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Summary:

1. Introduction.
2. Installation.
   1. Dependencies
   2. User installation
3. Examples.

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Introduction

The AISP is a python package that implements artificial immune systems techniques, distributed under the GNU Lesser General Public License v3.0 (LGPLv3).

The package started in 2022 as a research package at the Federal Institute of Northern Minas Gerais - Salinas campus (IFNMG - Salinas).

Artificial Immune Systems (AIS) are inspired by the vertebrate immune system, creating metaphors that apply the ability to detect and catalog pathogens, among other features of this system.

Algorithms implemented:

• Negative Selection.
• Clonal Selection Algorithms.
• Dendritic Cells.
• Immune Network Theory.

Installation

The module requires installation of python 3.8.10 or higher.

Dependencies:

Packages	Version
numpy	≥ 1.22.4
scipy	≥ 1.8.1
tqdm	≥ 4.64.1

User installation

The simplest way to install AISP is using pip:

pip install aisp

Examples:

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Example using the negative selection technique (nsa):

In the example present in this notebook, 500 random samples were generated, arranged in two groups, one for each class.

Below are some examples that use a database for classification with the Jupyter notebook tool.

Negative Selection:

• RNSA Application of negative selection techniques for classification using the Iris family flower database and Old Faithful Geyser:
  • iris_dataBase_example
  • geyser_dataBase_example
• BNSA
  • mushrooms_dataBase_example

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