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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| Computational creativity | 8/8 | https://en.wikipedia.org/wiki/Computational_creativity | reference | science, encyclopedia | 2026-05-05T16:31:23.728483+00:00 | kb-cron |
Traditional computers, as mainly used in the computational creativity application, do not support creativity, as they fundamentally transform a set of discrete, limited domain of input parameters into a set of discrete, limited domain of output parameters using a limited set of computational functions. As such, a computer cannot be creative, as everything in the output must have been already present in the input data or the algorithms. Related discussions and references to related work are captured in work on philosophical foundations of simulation. Mathematically, the same set of arguments against creativity has been made by Chaitin. Similar observations come from a Model Theory perspective. All this criticism emphasizes that computational creativity is useful and may look like creativity, but it is not real creativity, as nothing new is created, just transformed in well-defined algorithms. According to researchers like Mark Riedl, human creativity and computational creativity at their current state differ in several dimensions. While creativity can be viewed in the context of morality, Riedl considers the "educational, moralizing" aspect of stories as one of the challenges to developing narrative-generating AI models, which may contribute to the underlying reasoning coherence of the text. The lack of intention in AI models hinders them from making morally responsible choices, which often appear in human creativity. Michele Loi and Eleonora Vigano identified some potential threats to human creativity caused by AI development. For example, they considered the openness to "experiments of life", introduced by John Stuart Mill, an important factor in creativity. Society's overreliance on algorithms for making decisions would constrain utility functions, which may discourage people from exploring riskier solutions and decrease the diversity of exploration and thus the creativity.
== Events == The International Conference on Computational Creativity (ICCC) occurs annually, organized by The Association for Computational Creativity. Events in the series include:
ICCC 2023: University of Waterloo in Ontario, Canada ICCC 2022: Free University of Bozen-Bolzano, Bolzano, Italy ICCC 2021: Mexico City, Mexico (Virtual due to COVID-19 pandemic) ICCC 2020, Coimbra, Portugal (Virtual due to COVID-19 pandemic) ICCC 2019, Charlotte, North Carolina, US ICCC 2018, Salamanca, Spain ICCC 2017, Atlanta, Georgia, US ICCC 2016, Paris, France ICCC 2015, Park City, Utah, US. Keynote: Emily Short ICCC 2014, Ljubljana, Slovenia. Keynote: Oliver Deussen ICCC 2013, Sydney, Australia. Keynote: Arne Dietrich ICCC 2012, Dublin, Ireland. Keynote: Steven Smith ICCC 2011, Mexico City, Mexico. Keynote: George E Lewis ICCC 2010, Lisbon, Portugal. Keynote/Invited Talks: Nancy J Nersessian and Mary Lou Maher Previously, the community of computational creativity has held a dedicated workshop, the International Joint Workshop on Computational Creativity, every year since 1999. Previous events in this series include:
IJWCC 2003, Acapulco, Mexico, as part of IJCAI'2003 IJWCC 2004, Madrid, Spain, as part of ECCBR'2004 IJWCC 2005, Edinburgh, UK, as part of IJCAI'2005 IJWCC 2006, Riva del Garda, Italy, as part of ECAI'2006 IJWCC 2007, London, UK, a stand-alone event IJWCC 2008, Madrid, Spain, a stand-alone event The 1st Conference on Computer Simulation of Musical Creativity will be held
CCSMC 2016, 17–19 June, University of Huddersfield, UK. Keynotes: Geraint Wiggins and Graeme Bailey.
== See also == 1 the Road – Novel written by an artificial intelligence (1st novel) Artificial imagination – Artificial simulation of human imagination Algorithmic art – Art genre Algorithmic composition – Technique of using algorithms to create music Applications of artificial intelligence Computer art – Art genre Collective creativity – Ability to generate new ideas and solutions together in a creative process Creative computing – Computer science applied to the arts Digital morphogenesis – Type of generative art Digital poetry – Form of electronic literature Generative art – Art created by a set of rules, often using computers Generative systems – Technologies that can produce change driven by audiences Intrinsic motivation (artificial intelligence) – Mechanism for enabling artificial agents to exhibit curiosity Musikalisches Würfelspiel – Musical dice games used to randomly generate music (Musical dice game) Procedural generation – Method in which data is created algorithmically as opposed to manually Lists List of emerging technologies Outline of artificial intelligence
== References ==
== Further reading == An Overview of Artificial Creativity Archived 2008-03-25 at the Wayback Machine on Think Artificial Cohen, H., "the further exploits of AARON, Painter" Archived 2008-04-19 at the Wayback Machine, SEHR, volume 4, issue 2: Constructions of the Mind, 1995
== External links ==
Documentaries Noorderlicht: Margaret Boden and Stephen Thaler on Creative Computers on Archive.org In Its Image on Archive.org