# Grafting trees

> Interactive Python-based installation exploring tree grafting as a metaphor for literature, using quotes, biographies, and dynamic growth simulations.

**Wikidata**: [Q131293444](https://www.wikidata.org/wiki/Q131293444)  
**Source**: https://4ort.xyz/entity/grafting-trees

## Summary
"Grafting trees" (also known as "Greffage d'arbres") is an interactive software installation and work of electronic literature created by Algolit and Anaïs Berck. Developed using the Python programming language, the project uses tree grafting as a metaphor to explore literature through dynamic growth simulations, quotes, and biographies.

## Key Facts
- **Entity Type:** Interactive installation, software, and electronic literature.
- **Authors:** Created by Algolit and Anaïs Berck; contributions by Alice Neron.
- **Aliases:** "Grafting trees" (English), "Greffage d'arbres" (French).
- **Technical Foundation:** Built using the Python programming language and machine learning fabrication methods.
- **Publication Date:** Associated dates include 2019 and September 21, 2020.
- **Genre:** Classified under combinatory literature and generative art.
- **Languages:** The work operates in both French and English.
- **Media Modality:** Text-based.
- **Source URLs:** accessible via GitLab (Constant VZW) and anaisberck.be.

## FAQs
### Q: What is "Grafting trees"?
A: "Grafting trees" is an interactive installation that functions as electronic literature. It uses software to simulate tree growth as a metaphor for how literature is formed, utilizing quotes and biographies to drive the simulation.

### Q: Who created "Grafting trees"?
A: The work was authored by the collective Algolit and artist Anaïs Berck. Alice Neron is also listed as a contributor to the creative work.

### Q: What technology powers the installation?
A: The installation is built on the Python programming language and utilizes machine learning techniques to generate its text-based dynamic simulations.

## Why It Matters
"Grafting trees" represents a significant intersection between computer science and the humanities, specifically within the realms of electronic literature and generative art. By applying the biological concept of "grafting"—joining tissues from different plants—to literature, the project offers a novel way to understand how texts can combine, evolve, and grow. It moves beyond static text to create a dynamic system where biographies and quotes feed into simulations, demonstrating how algorithms can act as creative agents.

The project is notable for its use of Python and machine learning not merely as tools for analysis, but as mediums for artistic expression. It exemplifies the principles of combinatory literature, where new narratives emerge from the algorithmic recombination of existing data. This work highlights the shifting landscape of authorship in the digital age, where collaboration between humans (Anaïs Berck, Algolit) and computational processes creates living, evolving texts. Its existence as both software and an installation makes it an accessible exploration of complex data manipulation techniques presented through a natural, arboreal metaphor.

## Notable For
- **Unique Metaphor:** Uses the agricultural practice of tree grafting as a conceptual framework for assembling literature.
- **Hybrid Classification:** Functions simultaneously as executable software, an art installation, and a work of electronic literature.
- **Algorithmic Creation:** Employs machine learning as a fabrication method to generate text.
- **Bilingual Output:** Designed to operate in both French and English contexts.
- **Open Source Accessibility:** The project is hosted on GitLab, indicating an open approach to its code and distribution.

## Body

### Concept and Theme
"Grafting trees" is an electronic literature project that explores the intersection of nature and data. The core concept relies on the metaphor of "grafting," a horticultural technique where tissues of plants are joined so that they continue their growth together. In this installation, this biological process is applied to literature. The software simulates the dynamic growth of trees, but instead of biological nutrients, the growth is fueled by quotes and biographies. This approach places the work within the genres of combinatory literature and generative art.

### Development and Authorship
The project was authored by **Algolit** (a collective focused on algorithmic literature) and **Anaïs Berck**. The creative process also involved **Alice Neron** as a contributor.
- **Timeline:** The work has publication references dating to **2019** and specifically **September 21, 2020**.
- **Language:** The work is available in French and English, reflected in its aliases "Greffage d'arbres" and "Grafting trees."

### Technical Specifications
The installation is classified as a non-tangible executable component (software) and an installation artwork.
- **Programming Language:** The system is built entirely using **Python**, a general-purpose programming language.
- **Fabrication:** The text generation and simulation are powered by **machine learning** algorithms.
- **Modality:** The primary output media is **text**.
- **Platform:** The software is accessible via web platforms at `https://gitlab.constantvzw.org/algolit/greffage-des-arbres` and `https://www.anaisberck.be/grafting-trees/`.

### Classification
According to structured data sources, "Grafting trees" is defined by multiple classifications:
1.  **Electronic Literature:** A literary genre utilizing digital capabilities.
2.  **Installation Artwork:** A work intended for spatial deployment.
3.  **Software:** A functional computer program.

## References

1. LabEL