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Quality and diversity have been proposed as reasonable heuristics for assessing content generated by co-creative systems, but to date there has been little agreement around what constitutes the latter or how to measure it.
Designing as reflective conversation with the materials of a design situation
Donald A Schön · 1992
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A mathematical theory of communication
Claude Elwood Shannon · 2001
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The creative mind: Myths and mechanisms
Margaret A Boden · 2004
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Entropy and diversity
Lou Jost · 2006
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A general framework for analysing diversity in science, technology and society
Andy Stirling · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Analyzing the expressive range of a level generator
Gillian Smith and Jim Whitehead · 2010
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Diversity in recommender systems
Laurent Candillier, Max Chevalier, Damien Dudognon, and Josiane Mothe · 2011
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Text-based measures of document diversity
Kevin Bache, David Newman, and Padhraic Smyth · 2013
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Searching for good and diverse game levels
Mike Preuss, Antonios Liapis, and Julian Togelius · 2014
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Frame innovation: Create new thinking by design
Kees Dorst · 2015
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Surprise-triggered reformulation of design goals
Kazjon Grace and Mary Lou Maher · 2016
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Quality diversity: A new frontier for evolutionary computation
Justin K Pugh, Lisa B Soros, and Kenneth O Stanley · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Diversity in recommender systems–a survey
Matevž Kunaver and Tomaž Požrl · 2017
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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The creativity of text-to-image generation
Jonas Oppenlaender · 2022
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Marvin Zammit, Antonios Liapis, and Georgios N Yannakakis · 2022
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Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, U Raghavendra, Anjan Gudigar, Wai Yee Chan, K Meenakshi, K Swaraja, Pawel Plawiak, and U Rajendra Acharya · 2022
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A collaborative, interactive and context-aware drawing agent for co-creative design
Francisco Ibarrola, Tomas Lawton, and Kazjon Grace · 2022
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Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, and Jaejun Yoo · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Creative discovery using quality-diversity search
Jon Mccormack, Camilo Cruz Gambardella, and Stephen Krol · 2023
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Transformational creativity through the lens of quality-diversity
Jonathan Demke, Kazjon Grace, Francisco Ibarrola, and Dan Ventura · 2023
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