# autonomic computing

> a machine, a device, or software that can operate with minimal or no human control

**Wikidata**: [Q788172](https://www.wikidata.org/wiki/Q788172)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Autonomic_computing)  
**Source**: https://4ort.xyz/entity/autonomic-computing

## Summary
Autonomic computing refers to systems, including machines, devices, or software, that are designed to operate with minimal or no human control. Its primary goal is to create self-managing computational systems capable of autonomous operation.

## Key Facts
*   Operates with minimal human control.
*   Operates with no human control.
*   Can manifest as a machine.
*   Can manifest as a device.
*   Can manifest as software.
*   Is a subclass of artificial intelligence.
*   Is a subclass of computing.
*   Is a subclass of control loop.

## FAQs
### Q: What is the primary characteristic of autonomic computing?
A: The primary characteristic of autonomic computing is its ability to operate with minimal or no human control. This design principle allows systems to manage themselves autonomously.

### Q: What types of entities can exhibit autonomic computing capabilities?
A: Autonomic computing capabilities can be found in various entities, including machines, devices, or software. This broad applicability allows for self-management across different technological forms.

### Q: How does autonomic computing relate to other technological fields?
A: Autonomic computing is categorized as a subclass of artificial intelligence, computing, and control loop systems. This classification highlights its foundation in intelligent, computational, and self-regulating technologies.

## Why It Matters
The ability of autonomic computing to operate with minimal or no human control addresses the increasing complexity of modern IT systems. This characteristic reduces the need for constant human oversight, which can lead to increased operational efficiency and system reliability. By enabling machines, devices, or software to manage themselves, autonomic computing aims to create more resilient and adaptive computational environments. Its classification as a subclass of artificial intelligence, general computing, and control loop systems underscores its foundational role in advancing self-regulating technologies. This approach is crucial for managing large-scale, dynamic infrastructures where manual intervention becomes impractical and prone to errors, thereby enhancing overall system stability and performance.

## Notable For
*   Distinguished by its core principle of self-governance.
*   Unique in its explicit goal of eliminating or drastically reducing human oversight in system operation.
*   Encompasses a broad range of entities, from physical machines to abstract software.

## Body
### Core Definition
Autonomic computing represents a paradigm where computational systems are engineered for self-management. This involves the integration of capabilities from artificial intelligence, general computing principles, and control loop mechanisms to achieve autonomous operation.

```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "autonomic computing",
  "description": "A machine, a device, or software that can operate with minimal or no human control."
}

## References

1. Integrated Authority File
2. Freebase Data Dumps. 2013
3. Quora
4. National Library of Israel
5. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)