# computational intelligence

> ability of a computer to learn a specific task from data or experimental observation

**Wikidata**: [Q1122090](https://www.wikidata.org/wiki/Q1122090)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Computational_intelligence)  
**Source**: https://4ort.xyz/entity/computational-intelligence

## Summary
Computational intelligence refers to the ability of a computer to learn a specific task from data or experimental observation. It is a subfield of artificial intelligence, focusing on developing algorithms and systems that can adapt and improve through experience. This field encompasses various approaches, including evolutionary computation, and is studied by researchers like Tomasz G. Smolinski and George Ovchinikov.

## Key Facts
- Computational intelligence is a subfield of artificial intelligence.
- It involves the development of algorithms that enable computers to learn from data.
- Evolutionary computation is a related subfield within computational intelligence.
- Researchers such as Tomasz G. Smolinski, George Ovchinikov, and Latafat Gardashova contribute to this field.
- Philippe Desjardins-Proulx is a notable Canadian computational scientist.
- The field is documented in multiple languages, including Arabic, German, and Japanese.
- Computational intelligence is classified under the Library of Congress classification Quimper.
- The term has aliases such as "Inteligencia Computacional" and "コンピュータ知能."

## FAQs
### Q: What is the difference between computational intelligence and artificial intelligence?
A: Computational intelligence is a subfield of artificial intelligence that focuses on developing algorithms and systems capable of learning from data. While artificial intelligence broadly encompasses intelligent behavior in machines, computational intelligence specifically deals with computational methods for learning and adaptation.

### Q: Who are some key researchers in computational intelligence?
A: Key researchers include Tomasz G. Smolinski, George Ovchinikov, Latafat Gardashova, and Philippe Desjardins-Proulx. These individuals contribute to the development and study of computational intelligence methods.

### Q: How does computational intelligence differ from evolutionary computation?
A: Computational intelligence is a broader field that includes various approaches to learning and adaptation in machines. Evolutionary computation is a specific subfield within computational intelligence that focuses on algorithms inspired by biological evolution.

## Why It Matters
Computational intelligence plays a crucial role in advancing the capabilities of artificial intelligence systems. By enabling computers to learn from data, it allows for the development of more adaptive and intelligent systems. This field is significant in various applications, including bioinformatics, where researchers like Tomasz G. Smolinski contribute to its development. The ability of computational intelligence to improve through experience makes it a key area in the broader field of artificial intelligence, impacting how machines can solve complex problems and make decisions.

## Notable For
- Being a specialized subfield of artificial intelligence focused on learning from data.
- Including evolutionary computation as a key subfield.
- Having researchers like Latafat Gardashova and Philippe Desjardins-Proulx contributing to its development.
- Being documented in multiple languages, indicating its global relevance.
- Being classified under the Library of Congress classification Quimper, highlighting its academic significance.

## Body
### Definition and Scope
Computational intelligence is defined as the ability of a computer to learn a specific task from data or experimental observation. It is a subfield of artificial intelligence, which itself is a field of computer science that develops and studies software enabling machines to exhibit intelligent behavior.

### Subfields and Related Areas
Evolutionary computation is a subfield of computational intelligence that focuses on algorithms inspired by biological evolution. This includes methods such as genetic algorithms and evolutionary strategies, which are used to solve complex optimization problems.

### Key Researchers
Notable researchers in computational intelligence include:
- Tomasz G. Smolinski, a bioinformatics researcher at Delaware State University.
- George Ovchinikov, a senior research scientist.
- Latafat Gardashova, an Azerbaijani computer scientist born in 1966.
- Philippe Desjardins-Proulx, a Canadian computational scientist.

### Documentation and Classification
Computational intelligence is documented in multiple languages, including Arabic, German, and Japanese. It is classified under the Library of Congress classification Quimper, specifically under the category of cybernetics and self-organizing systems.

### Aliases and Terminology
The term computational intelligence is also known by aliases such as "Inteligencia Computacional" and "コンピュータ知能."

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  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "Computational Intelligence",
  "description": "The ability of a computer to learn a specific task from data or experimental observation.",
  "sameAs": ["https://www.wikidata.org/wiki/Q123456789", "https://en.wikipedia.org/wiki/Computational_intelligence"],
  "additionalType": "Subfield of Artificial Intelligence"
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## References

1. Freebase Data Dumps. 2013
2. Quora
3. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)