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Computational intelligence: History, Applications, Science & Products

In computer science, computational intelligence (CI) refers to concepts, paradigms, algorithms and implementations of systems that are designed to show "intelligent" behavior in complex and changing environments. These systems are aimed at mastering complex tasks in a wide variety of technical or commercial areas and offer solutions that recognize and…

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Computational intelligence topic overview

The analysis highlights History, Applications, Science and Products as prominent areas in the source structure around Computational intelligence.

Related topics
99
Source areas
5
Connected nodes
104
Extracted relationships
47
Related term clusters
57
Bridge connections
104

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

The main algorithmic approaches of CI and their applications · 46 topics
Overview · 39 topics
History · 6 topics
Publications · 4 topics
Relationship between hard and soft computing and artificial and computational intelligence · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Relationship between hard and soft computing and artificial and computational intelligence

History

The main algorithmic approaches of CI and their applications

Publications

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Computational intelligence connects Entity context

The extracted context around Computational intelligence shows recurring relationship patterns in the source. For example, Computational intelligence → AI, Applied Computational Intelligence, Autonomous Mental DevelopmentIEEE Transactions, BioinformaticsIEEE Transactions, CI, Computational Biology, Computational Intelligence Systems, Computational IntelligenceIEEE Transactions, Emerging Topics, Evolutionary ComputationIEEE Transactions, Fuzzy SystemsIEEE Transactions, Games, IEEE, IEEE Computational Intelligence Magazine, IEEE Transactions, International Journal, Learning SystemsIEEE Transactions, Neural Networks, Recognized, Soft Computing Another extracted example is Computational intelligence → Alan Turing, IEEE Computational Intelligence Society, IEEE Neural Networks Council, IEEE Neural Networks Society, NNC, On November, Turing. Use these groups to spot repeated connection types before inspecting the individual relationships.

Computational intelligence

Top relations

related to Publications · 20
Computational intelligence → AI, Applied Computational Intelligence, Autonomous Mental DevelopmentIEEE Transactions, BioinformaticsIEEE Transactions, CI, Computational Biology, Computational Intelligence Systems, Computational IntelligenceIEEE Transactions, Emerging Topics, Evolutionary ComputationIEEE Transactions, Fuzzy SystemsIEEE Transactions, Games, IEEE, IEEE Computational Intelligence Magazine, IEEE Transactions, International Journal, Learning SystemsIEEE Transactions, Neural Networks, Recognized, Soft Computing
related to history · 7
Computational intelligence → Alan Turing, IEEE Computational Intelligence Society, IEEE Neural Networks Council, IEEE Neural Networks Society, NNC, On November, Turing

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

ci systems intelligence learning based fuzzy networks methods artificial paradigms computational neural used complex data ai processes computing evolutionary optimization

Computational intelligence relationships Subject–Predicate–Object triples

TTTA extracted 47 structured relationships around Computational intelligence. Examples in this analysis include fuzzy systems → instance of → to become the IEEE Computational Intelligence Society two years later by including new areas of interest and control engineering → instance of → fuzzy logic is well suited for engineering decisions without clear certainties and uncertainties or with imprecise data - as with natural language-processing technologies but it…. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
fuzzy systemsinstance ofto become the IEEE Computational Intelligence Society two years later by including new areas of interest0.80text
evolutionary computation.The NNC helped organize the first IEEE World Congress on Computational Intelligence in Orlandoinstance ofto become the IEEE Computational Intelligence Society two years later by including new areas of interest0.80text
Florida in 1994instance ofto become the IEEE Computational Intelligence Society two years later by including new areas of interest0.80text
control engineeringinstance offuzzy logic is well suited for engineering decisions without clear certainties and uncertainties or with imprecise data - as with natural language-processing technologies but it…0.80text
image processinginstance offuzzy logic is well suited for engineering decisions without clear certainties and uncertainties or with imprecise data - as with natural language-processing technologies but it…0.80text
fuzzy data clusteringinstance offuzzy logic is well suited for engineering decisions without clear certainties and uncertainties or with imprecise data - as with natural language-processing technologies but it…0.80text
decision makinginstance offuzzy logic is well suited for engineering decisions without clear certainties and uncertainties or with imprecise data - as with natural language-processing technologies but it…0.80text
medical diagnosticsinstance ofOther areas0.80text
satellite controllersinstance ofOther areas0.80text
business strategy selection are just a few more examples of today's application of fuzzy logic.Neural networksAn important field of CI is the development of artificial neural networksinstance ofOther areas0.80text
adaptabilityinstance ofArtificial immune systems offer interesting capabilities0.80text
self-learninginstance ofArtificial immune systems offer interesting capabilities0.80text

Related concept clusters Related term clusters

The concept neighborhoods around Computational intelligence bring nearby vocabulary together. In this analysis, examples include Intelligence, Ieee and Computing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Computational intelligence
    • Intelligence
    • Ieee
    • Computing
    • Neural
    • Theory
    • Ai
    • Artificial
    • Systems
    • Computation
    • Paradigms
    • Networks
    • Development
  • computational intelligence
    • Intelligence
    • Ieee
    • Artificial
    • Computing
    • Neural
    • Theory
    • Ai
    • Systems
    • Computation
    • Paradigms
    • Networks
    • Development
  • computational intelligence societey
    • Intelligence
    • Ieee
    • Artificial
    • Computing
    • Neural
    • Theory
    • Ai
    • Systems
    • Computation
    • Paradigms
    • Networks
    • Development
  • fuzzy systems
    • Logic
    • Computation
    • Evolutionary
    • Neural
    • Systems
    • Data
    • Networks
    • Probabilistic
    • Main
    • Computing
    • Intelligence
    • Ai
  • evolutionary computation
    • Computation
    • Evolutionary
    • Neural
    • Fuzzy
    • Methods
    • Networks
    • Main
    • Computational
    • Systems
    • Ieee
    • Probabilistic
    • Artificial
  • ambient intelligence
    • Ieee
    • Artificial
    • Computing
    • Ai
    • Systems
    • Networks
    • Paradigms
    • Neural
    • Theory
    • Computation
    • Fuzzy
    • Development
  • artificial life
    • Intelligence
    • Networks
    • Used
    • Computing
    • Neural
    • Computational
    • Learning
    • Development
    • Evolutionary
    • Main
    • Ci
    • Systems
  • artificial intelligence
    • Ieee
    • Artificial
    • Intelligence
    • Networks
    • Used
    • Computing
    • Neural
    • Computational
    • Learning
    • Ai
    • Systems
    • Development

Connections between topic areas Semantic bridges

For Computational intelligence, one of the stronger structural bridges in this analysis connects Computational intelligence with The main algorithmic approaches of CI and their applications. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Computational intelligence — The main algorithmic approaches of CI and their applications · splits 58 ⟂ 47
Computational intelligence — Overview · splits 65 ⟂ 40
Computational intelligence — History · splits 98 ⟂ 7
Computational intelligence — Relationship between hard and soft computing and artificial and computational intelligence · splits 100 ⟂ 5
Computational intelligence — Publications · splits 100 ⟂ 5

Map overview Semantic statistics

Computational intelligence

Nodes105
Edges104
Triples47
Avg. degree1.98
Density0.019048
Components1

Source & methodology

TTTA analyzes the structure around Computational intelligence to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Computational intelligence · EN edition · Analysis: TopicsToTalkAbout

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