# Organic Computing in the Spotlight

arXiv: https://arxiv.org/abs/1701.08125 · HTML: https://mlsanity.com/paper/1701.08125/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jan 2017.

## Built on by (most cited first, 4 of 4)

- [Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts](https://mlsanity.com/paper/2108.10781/) (2021)
- [Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation](https://mlsanity.com/paper/2201.03947/) (2022)
- [Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation](https://mlsanity.com/paper/2603.25415/) (2026)
- [Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Directions](https://mlsanity.com/paper/2606.09568/) (2026)

## Abstract (arXiv)

Organic Computing is an initiative in the field of systems engineering that proposed to make use of concepts such as self-adaptation and self-organisation to increase the robustness of technical systems. Based on the observation that traditional design and operation concepts reach their limits, transferring more autonomy to the systems themselves should result in a reduction of complexity for users, administrators, and developers. However, there seems to be a need for an updated definition of the term "Organic Computing", of desired properties of technical, organic systems, and the objectives of the Organic Computing initiative. With this article, we will address these points.