Call for papers: Full Papers

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Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on systems that act as creative partners for humans, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on.

*** Important Dates (full papers) ***
Abstracts due: February 17, 2023
Submissions due: February 24, 2023
Acceptance notification: April 21, 2023
Camera-ready copies due: May 12, 2023
Conference: June 19-23, 2023
All deadlines are 23:59 anywhere on Earth time.

A call for short papers will be announced shortly.

*** Special Topics ***
In addition to the topics listed in the subsequent section, this year we encourage submissions in the following areas. The aim is to explore overlaps between Computational Creativity and the following critical issues.

Climate Change: Climate change is an urgent issue that impacts all of us. What role can CC play in tackling this challenge? This year we would like to explore the overlap between Computational Creativity and the global climate crisis. We welcome submission on systems that create, or engage in the creation of, creative artifacts (visual art, music, poetry, etc) that bring awareness to the climate change crisis. Other related research may include systems that propose creative solutions to the climate crisis, or any other valuable ideas that combine CC and the topic of climate change and environmental sustainability.

Diversity, Equity and Inclusion (DEI): We welcome submissions that combine CC with issues of diversity, equity and inclusion. These are some of the questions behind this special topic:
– How can Computational Creativity support DEI (e.g. increasing cultural diversity, reducing bias, etc.)?
– How well do existing creative systems represent diversity?
– What can we do to improve representation in creative machines and the artifacts that they are used to create?

*** Topics ***
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:
- Application of Computational Creativity: Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming.
- Human-Machine Creativity: Applications and frameworks that allow for co-creativity between humans and machines, in which the machine acts as a meaningful creative partner.
- Evaluation: Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society.
- Computational Models and Paradigms: Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation.
- Interdisciplinary perspectives: Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts; Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems.
- Focus on data: Big data approaches to computational creativity; Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials.
- Societal Impact: Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems.
- Novel experiences & factors:Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artifacts within a CC context. Computational accounts of factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures.
- CC Provocations: Raising new issues that bring the foundations of the discipline into question or throw new light on seemingly settled ones.

*** Paper Types ***
We welcome the submission of five different types of long papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers.

*** More Information ***
More information on the paper types and submission process can be found at
https://computationalcreativity.net/iccc23/full-papers/

*** Organising Committee ***
– General Chair: Dan Brown
– Program Chairs: Alison Pease, João Miguel Cunha and Maya Ackerman
– Doctoral Consortium Chair: Pablo Gervás
– Demo Chair: Rob Saunders
– Publicity Chair: Christian Guckelsberger
– Webmaster: Paul Bodily

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http://computationalcreativity.net/home/resources/bibliography/

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