The Good, the Bad, and the AHA! Blends
Inhaltsverzeichnis
Reference
Pedro Martins, Tanja Urbancic, Senja Pollak, Nada Lavrac and Amílcar Cardoso: The Good, the Bad, and the AHA! Blends. In: Computational Creativity 2015 ICCC 2015, 166-173.
DOI
Abstract
We present and discuss quality assessment of visual blends based on how humans perceive them. This work represents part of a wider study aimed at determining the fundamental characteristics of a good blend. Based on the obtained insights, we hope to make a more comprehensible explanation of some less clear and not fully described aspects of the conceptual blending mechanism that play a fundamental role in creative thinking. Additionally, we intend to bring these insights into the design of artificial creative systems.
Extended Abstract
Bibtex
@inproceedings{ author = {Martins, Pedro and Urban{\v c}i{\v c}, Tanja and Pollak, Senja and Lavrac, Nada and Cardoso, Am{\'\i}lcar}, title = {The Good, the Bad, and the AHA! Blends}, booktitle = {Proceedings of the Sixth International Conference on Computational Creativity}, series = {ICCC2015}, year = {2015}, month = {Jun}, location = {Park City, Utah, USA}, pages = {166-173}, url = {http://computationalcreativity.net/iccc2015/proceedings/7_3Martins.pdf}, url = {http://de.evo-art.org/index.php?title=The_Good,_the_Bad,_and_the_AHA!_Blends}, publisher = {International Association for Computational Creativity}, keywords = {computational, creativity}, }
Used References
Boden, M. A. 1991. The Creative Mind: Myths and Mechanisms. Basic Books, Inc.
Colton, S.; Pease, A.; and Ritchie, G. 2001. The effect of input knowledge on creativity. In Proceedings of the First Workshop on Creative Systems, International Conference of Case-Based Reasoning (ICCBR’01).
Colton, S. 2008. Creativity versus the perception of creativity in computational systems. In Proceedings of the AAAI Spring Symp. on Creative Intelligent Systems.
Fauconnier, G., and Turner, M. 1998. Conceptual integration networks. Cognitive Science 22(2):133–187.
Fauconnier, G., and Turner, M. 2002. The Way We Think. New York: Basic Books.
Fauconnier, G. 1994. Mental Spaces: Aspects of Meaning Construction in Natural Language. New York: Cambridge University Press.
Haveliwala, T. H. 2003. Topic-sensitive pagerank: A contextsensitive ranking algorithm for web search. Technical Report 2003- 29, Stanford InfoLab.
Jordanous, A. 2012. Evaluating computational creativity: a standardised procedure for evaluating creative systems and its application. Ph.D. Dissertation, University of Sussex.
Joy, A.; F. Sherry Jr., J.; and Deschenes, J. 2009. Conceptual blending in advertising. Journal of Business Research 62(1):39 – 49.
Neahus, F.; Kutz, O.; Codescu, M.; and Mossakowski, T. 2014. Fabricating monsters is hard - towards the automation of conceptual blending. In Proceedings of the Workshop “Computational Creativity, Concept Invention, and General Intelligence”.
Page, L.; Brin, S.; Motwani, R.; and Winograd, T. 1999. The pagerank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab.
Pereira, F., and Cardoso, A. 2003. The horse-bird creature generation experiment. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour(AISBJ ) 1(3):257–280.
Pereira, F. 2005. Creativity and AI: A Conceptual Blending approach. Ph.D. Dissertation, University of Coimbra.
Ritchie, G. 2001. Assessing creativity. In Proceedings of the AISB’01 Symposium on Artificial Intelligence and Creativity in Arts and Science, 3–11.
Turner, M. 2014. The Origin of Ideas. Oxford University Press. Wiggins, G. 2001. Categorising creative systems. In Proceedings of the Third Workshop on Creative Systems (IJCAI’03).
Links
Full Text
http://computationalcreativity.net/iccc2015/proceedings/7_3Martins.pdf