Dear colleague,

Below you will find the official call. Please feel free to distribute it to
mailing lists you manage and to everybody who may be interested.

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*14th International Conference on Computational Creativity (ICCC’23)*

June 19 – 23, 2023, Waterloo in Ontario, Canada

Call for papers: Short Papers
https://computationalcreativity.net/iccc23/short-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 ****
Submissions due: May 2nd, 2023
Acceptance notification: May 19th, 2023
Camera-ready copies due: May 31st, 2023
Conference: June 19-23, 2023
All deadlines given are 23:59 anywhere on Earth time.

**** 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
– Diversity, Equity and Inclusion

**** 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.