Automated Collage Generation - With More Intent 2011
Inhaltsverzeichnis
Reference
Michael Cook and Simon Colton: Automated Collage Generation - With More Intent. In: Computational Creativity 2011 ICCC 2011, pp. 1-3.
DOI
Abstract
The majority of software has no meta-level perception of what it is doing, or what it intends to achieve. With- out such higher cognitive functions, we might be dis- inclined to bestow creativity onto such software. We generalise previous work on collage generation, which attempted to blur the line between the intentionality of the programmer and that of the software in the visual arts. Firstly, we embed the collage generation process into a computational creativity collective, which con- tains processes and mashups of processes, designed so that the output of one generative system becomes the input of another. Secondly, we analyse the previous approach to collage generation to determine where in- tentionality arose, leading to experimentation where we test whether augmented keyword searches can enable the software to exert more intentional control.
Extended Abstract
Bibtex
Used References
Abiteboul, S.; Greenshpan, O.; and Milo, T. 2008. Modeling the mashup space. In Proceedings of tht 10th ACM International Work- shop on Web Information and Data Management.
Brin, S., and Page, L. 1998. The anatomy of a large-scale hyper- textual web search engine. Comp. Networks & ISDN Syst. 30.
Charnley, J. 2009. A Global Workspace Framework for Combined Reasoning. Ph.D. Dissertation, Department of Computing, Impe- rial College, London.
Krzeczkowska, A.; El-Hage, J.; Colton, S.; and Clark, S. 2010. Automated collage generation - with intent. In Proceedings of the 1st International Conference on Computational Creativity.
Pang, B.; Lee, L.; and Vaithyanathan, S. 2002. Thumbs up? Senti- ment classification using machine learning techniques. In Proc. of the Conf. on Empirical Methods in Natural Language Processing.
Links
Full Text
http://iccc11.cua.uam.mx/proceedings/the_applied/cook_iccc11.pdf
