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Computational creativity: Events, Music, Art & Cultures

Computational creativity (also known as artificial creativity, mechanical creativity, creative computing or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts (e.g., computational art as part of computational culture).

Language: English [EN]
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Computational creativity topic overview

The analysis highlights Events, Music, Art and Cultures as prominent areas in the source structure around Computational creativity.

Related topics
145
Source areas
11
Connected nodes
156
Extracted relationships
124
Related term clusters
22
Bridge connections
156

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.

Linguistic creativity · 46 topics
Visual and artistic creativity · 23 topics
Key concepts from literature · 22 topics
Overview · 14 topics
Machine learning for computational creativity · 11 topics
Musical creativity · 10 topics
Creativity in problem solving · 8 topics
Criticism of computational creativity · 6 topics
Defining creativity in computational terms · 2 topics
Theoretical issues · 2 topics
Events · 1 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

Theoretical issues

Defining creativity in computational terms

Machine learning for computational creativity

Key concepts from literature

Linguistic creativity

Musical creativity

Visual and artistic creativity

Creativity in problem solving

Criticism of computational creativity

Events

For the semantics nerds

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

Advanced semantic analysis

How Computational creativity connects Entity context

The extracted context around Computational creativity shows recurring relationship patterns in the source. For example, Computational creativity → Arne DietrichICCC, Atlanta, Australia, Bolzano, Bozen-Bolzano, CanadaICCC, Charlotte, Coimbra, COVID-19, Dublin, Emily ShortICCC, Events, FranceICCC, Free University, George, Georgia, ICCC, Ireland, ItalyICCC, Keynote Another extracted example is Computational creativity → Bach, CD, Computational, David Cope, EMI, EMI's, Experiments, Iamus, Melomics, Mozart, Musical Intelligence, New Scientist, The London Symphony Orchestra. Use these groups to spot repeated connection types before inspecting the individual relationships.

Computational creativity

Top relations

related to Events · 48
Computational creativity → Arne DietrichICCC, Atlanta, Australia, Bolzano, Bozen-Bolzano, CanadaICCC, Charlotte, Coimbra, COVID-19, Dublin, Emily ShortICCC, Events, FranceICCC, Free University, George, Georgia, ICCC, Ireland, ItalyICCC, Keynote
related to Musical creativity · 13
Computational creativity → Bach, CD, Computational, David Cope, EMI, EMI's, Experiments, Iamus, Melomics, Mozart, Musical Intelligence, New Scientist, The London Symphony Orchestra
related to Historical evolution of computational creativity · 9
Computational creativity → Bach, Beyond, Dartmouth Conference, Dehn's AUTHOR, Haydn, Kiernberger, Meehan's TALE-SPIN, Mozart, Professional
related to Innovation · 8
Computational creativity → AI, As AI, Computational, Giora, Philip Hutchinson, Pérez, SAI, Veale
related to Visual and artistic creativity · 8
Computational creativity → Aaron, Computational, Harold Cohen's AARON, Neuro-Evolutionary Art, NEvAr, NEvAr's, Penousal Machado, Though
related to Criticism of computational creativity · 6
Computational creativity → Chaitin, Mathematically, Model Theory, Related, Similar, Traditional
related to Exploratory and transformational creativity · 6
Computational creativity → Boden, Boden's, Following, Geraint Wiggins, Newell, Simon
related to Theoretical issues · 5
Computational creativity → Ada Lovelace's, Especially, Indeed, Teresa Amabile, Theoretical
related to Creativity in problem solving · 4
Computational creativity → CLARION-based, Creativity, EII, The Explicit-Implicit Interaction
related to Co-creation · 1
Computational creativity → Recently

Important terminology

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

Important terminology

creativity computational creative generation system human ai novel new model used using work systems like one generate also developed process

Computational creativity relationships Subject–Predicate–Object triples

TTTA extracted 124 structured relationships around Computational creativity. Examples in this analysis include Teresa Amabile → instance of → as recapitulated by modern theorists and Mihalcea → instance of → Researchers. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Teresa Amabileinstance ofas recapitulated by modern theorists0.80text
Mihalceainstance ofResearchers0.80text
Strapparava trained classifiers to distinguish humorous from non-humorous textinstance ofResearchers0.80text
using stylisticinstance ofResearchers0.80text
semantic featuresinstance ofResearchers0.80text
the IJWCC emerged in the 1990sinstance ofDedicated workshops0.80text
growing out of interdisciplinary conferences focused on AIinstance ofDedicated workshops0.80text
creativityinstance ofDedicated workshops0.80text
The Beverly Hillbilliesinstance ofa fish-out-of-water story0.80text
Yorick Wilksinstance ofComputationalists0.80text
James Martininstance ofComputationalists0.80text
Dan Fassinstance ofComputationalists0.80text

Related concept clusters Related term clusters

The concept neighborhoods around Computational creativity bring nearby vocabulary together. In this analysis, examples include Creativity, Generation and Computer. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Computational creativity
    • Creativity
    • Generation
    • Computer
    • Artificial
    • Creative
    • Ai
    • Like
    • Innovation
    • Development
    • Machine
    • Intelligence
    • Systems
  • natural language generation
    • Systems
    • Language
    • Novel
    • Music
    • Musical
    • Models
    • Generated
    • System
    • Process
    • Human
    • Innovation
    • Machine
  • computational creativity
    • Creativity
    • Generation
    • Human
    • Computer
    • Artificial
    • Creative
    • Ai
    • Like
    • Model
    • Development
    • Innovation
    • Machine
  • artificial intelligence
    • Intelligence
    • Neural
    • Music
    • Musical
    • Human
    • Novel
    • Machine
    • Computational
    • Research
    • Creative
    • Creativity
    • Generate
  • computer
    • Using
    • Machine
    • Input
    • Music
    • Musical
    • Creative
    • Systems
    • Work
    • Used
    • Creativity
    • New
    • Generation
  • creativity
    • Human
    • Generation
    • Ai
    • Model
    • Development
    • Using
    • Computer
    • Systems
    • Work
    • Novel
    • Innovation
    • Field
  • artificial neural networks
    • Intelligence
    • Neural
    • Used
    • Computational
    • Research
    • Creative
    • Creativity
    • Generate
    • New
    • Human
    • Generation
    • Innovation
  • creative problem solving
    • Generation
    • Machine
    • Creativity
    • Human
    • Computer
    • Models
    • Process
    • Systems
    • Novel
    • Language
    • Useful
    • Input

Connections between topic areas Semantic bridges

For Computational creativity, one of the stronger structural bridges in this analysis connects Computational creativity with Linguistic creativity. 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 creativity — Linguistic creativity · splits 110 ⟂ 47
Computational creativity — Visual and artistic creativity · splits 133 ⟂ 24
Computational creativity — Key concepts from literature · splits 134 ⟂ 23
Computational creativity — Overview · splits 142 ⟂ 15
Computational creativity — Machine learning for computational creativity · splits 145 ⟂ 12
Computational creativity — Musical creativity · splits 146 ⟂ 11
Computational creativity — Creativity in problem solving · splits 148 ⟂ 9
Computational creativity — Criticism of computational creativity · splits 150 ⟂ 7
Computational creativity — Theoretical issues · splits 154 ⟂ 3
Computational creativity — Defining creativity in computational terms · splits 154 ⟂ 3

Map overview Semantic statistics

Computational creativity

Nodes157
Edges156
Triples124
Avg. degree1.99
Density0.012739
Components1

Source & methodology

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

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

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