Call for papers: Full Papers
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Computational Creativity (CC) is a discipline with its roots in scientific disciplines such as Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that each explores the potential for computers to be creative – either in partnership with humans or as 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 human creators, 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.


*** Themes and Topics ***
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:

— Domain-Specific Applications of Computational Creativity: applications of creativity in areas such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, or programming.

— Generative AI Models of Creativity: extensions or modifications of generative AI algorithms that provide new capabilities, new metrics, or improved utility in creative contexts.
Human-Machine Co-Creativity: Systems, studies, frameworks, or methodologies related to co-creativity between humans and AI, with emphasis on systems in which the machine acts as a creative partner.

— Computational Creativity Evaluation: Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, or for the evaluation of how such systems are perceived in society.

— Social Models: Computational models of social aspects of creativity, including: social creativity, the diffusion of ideas, collaboration, team dynamics, and creativity in social settings.

— Computational Paradigms: computational approaches for modelling cognitive aspects of creativity, such as heuristic search, analogical and meta-level reasoning, cognitive architectures, and re-representation.

— Interdisciplinary Perspectives: Perspectives on computational creativity which draw from philosophical and/or sociological studies in the context of creative AI systems.

— Data and Creativity: Data science approaches to computational creativity: Resource development and data gathering/knowledge curation for creative AI. There is a need for datasets and resources that are scalable, extensible and freely available/open-source.

— Societal Impact: Ethical considerations in the design, deployment or testing of creative AI systems, as well as studies that explore the societal impact of computational creativity and generative AI.

— Psychological Factors: Computational models of psychological factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures. Additionally, social or experiential factors related to novelty and originality, such as innovation, improvisation, and virtuosity.

— Provocations: Raising new issues not on this list that bring the foundations of the discipline into question or throw new light on seemingly settled debates.


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


*** Important Dates ***
Abstracts due: February 21, 2024
Submissions due: February 28, 2024
Acceptance notification: April 21, 2024
Camera-ready copies due: May 12, 2024
Conference: June 17-21, 2024
All deadlines given are 23:59 anywhere on Earth time.


*** More Information ***
More information on the paper types and submission process can be found at:
http://computationalcreativity.net/iccc24/full-papers/


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