Stimulating and Simulating Creativity with Dr Inventor

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Reference

Diarmuid O’Donoghue, Yalemisew Abgaz, Donny Hurley, Francesco Ronzano and Horacio Saggion: Stimulating and Simulating Creativity with Dr Inventor. In: Computational Creativity 2015 ICCC 2015, 220-227.

DOI

Abstract

Dr Inventor is a system that is at once, a computational model of creative thinking and also a tool to ignite the creativity process among its users. Dr Inventor uncovers creative bisociations between semi-structured documents like academic papers, patent applications and psychology materials, by adopting a “big data” perspective to discover creative comparisons. The Dr Inventor system is described focusing on the transformation of this textual information into the graph-structure required by the creative cognitive model. Results are described using data from both psychological test materials and published research papers. The operation of Dr Inventor for both focused creativity and open ended creativity is also outlined.

Extended Abstract

Bibtex

@inproceedings{
 author = {O{\textquoteright}Donoghue, Diarmuid and Abgaz, Yalemisew and Hurley, Donny and Ronzano, Francesco and Saggion, Horacio},
 title = {Stimulating and Simulating Creativity with Dr Inventor},
 booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
 series = {ICCC2015},
 year = {2015},
 month = {Jun},
 location = {Park City, Utah, USA},
 pages = {220-227},
 url = {http://computationalcreativity.net/iccc2015/proceedings/10_1ODonoghue.pdf http://de.evo-art.org/index.php?title=Stimulating_and_Simulating_Creativity_with_Dr_Inventor },
 publisher = {International Association for Computational Creativity},
 keywords = {computational, creativity},
}

Used References

Belhajjame, K., Corcho, O., Garijo, D., Zhao, J., Missier, P., Newman, D., Bechhofer, S., García, E., Gómez-Pérez, J.M., Palma, R., Soiland-Reyes, S., Verdes-Montenegro, L., Roure, D.D. and Goble, C. (2012) 'Workflow-centric research objects: First class citizens in scholarly discourse', 9th Extended Semantic Web Conference, Hersonissos, Greece.

Bhattacharya, P., Iliofotou, M., Neamtiu, I. and Faloutsos, M. (2012) 'Graph-based Analysis and Prediction for Software Evolution', in Proceedings of the 34th International Conference on Software Engineering, Piscataway, NJ, USA: IEEE Press.

Blanchette, I. and Dunbar, K. (2001) 'Analogy use in naturalistic settings: The influence of audience, emotion, and goals', Memory & Cognition, vol. 29, no. 5, pp. 730- 735.

Boden, M. (1990) The Creative Mind, Weidenfeld and Nicolson.

Boden, M. (1998) 'Computer Models of Creativity', in Sternberg, R.J. Handbook of Creativity, Cambridge University Press.

Bohnet, B. (2010) 'Very high accuracy and fast dependency parsing is not a contradiction.', Proc. 23rd International Conference on Computational Linguistics, 89–97.

Bowden, E.M., Jung-Beeman, M., Fleck, J. and Kounios, J. (2005) 'New approaches to demystifying insight', Trends in cognitive sciences, vol. 9, no. 7, pp. 322-328.

Brown, T.L. (2003) Making Truth: Metaphor in Science, University of Illinois Press.

Carson, S., Peterson, J.B. and Higgins, D.M. (2005) 'Reliability, Validity, and Factor Structure of the Creative Achievement Questionnaire', Creativity Research Journal, vol. 17, no. 1, pp. 37–50.

Cherry, E. and Latulipe, C. (2014) 'Quantifying the Creativity Support of Digital Tools through the Creativity Support Index', ACM Transactions on Computer-Human Interaction, vol. 21, no. 4.

Constantin, A., Pettifer, S. and Voronkov, A. (2013) 'PDFX: fully-automated PDF-to-XML conversion of scientific literature', Proceedings of the 2013 ACM symposium on Document engineering, 177–180.

Fauconnier, G. and Turner, M. (1998) 'Conceptual integration networks', Cognitive science, vol. 22, no. 2, pp. 133--187.

Forbus, K.D., Ferguson, R.W. and Gentner, D. (1994) 'Incremental structure-mapping', Proc 16th Conference of the Cognitive Science Society, 313–318.

Gentner, D. (1983) 'Structure-mapping: A theoretical framework for analogy', Cognitive Science, vol. 7, pp. 155- 170.

Gentner, D. and Landers, R. (1985) 'Analogical reminding: A good match is hard to find', Proceedings of the International Conference on Systems, Man, and Cybernetics., Tucson, AZ.

Gick, M.L. and Holyoak, K.J. (1980) 'Analogical problem solving', Cognitive psychology, vol. 12, no. 3, pp. 306-355.

Goldschmidt, G. (2011) 'Avoiding Design Fixation: Transformation and Abstraction in Mapping from Source to Target', The Journal of Creative Behavior, vol. 45, no. 2, pp. 92-100.

Green, A.E., Kraemer, D., Fugelsang, J.A., Gray, J.R. and Dunbar, K.N. (2010) 'Connecting long distance: semantic distance in analogical reasoning modulates frontopolar cortex activity', Cerebral Cortex, vol. 20, no. 1, pp. 70--76.

Honavar, V.G. (2014) 'The Promise and Potential of Big Data: A Case for Discovery Informatics', Review of Policy Research, vol. 31, no. 4, pp. 326-330.

Jordanous, A. (2014) 'Stepping Back to Progress Forwards: Setting Standards for Meta-Evaluation of Computational Creativity,', Proc ICCC, 129-136.

Jursic, M., Cestnik, B., Urbancic, T. and Larvac, N. (2012) 'Cross-domain Literature Mining', Proc ICCC, pp 33-40.

Keane, M.T. and Bradshaw, M. (1988) 'The Incremental Analogical machine', in Sleeman, D. (ed.) 3rd European Working Session on Machine Learning, Kaufmann, CA, USA.

Keane, M.T., Ledgeway, T. and Duff, S. (1994) 'Constraints on Analogical Mapping: A Comparison of Three Models', Cognitive Science, vol. 18, no. 3, pp. 387- 438.

Koestler, A. (1964) The Act of Creation, Penguin Books. Kuhn, T.S. (1962) The structure of scientific revolutions, University of Chicago press.

Kunda, M., McGreggor, k. and Goel, A.k. (2013) 'A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations', Cognitive Systems Research, vol. 22-23, pp. 47-66.

O'Donoghue, D.P., Bohan, A. and Keane, M.T. (2006) 'Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps', New Generation Computing, 24, (3) (special issue on Computational Creativity), pp. 267-288.

O'Donoghue, D.P. and Keane, M.T. (2012) 'A Creative Analogy Machine: Results and Challenges', 4th International Conference on Computational Creativity (ICCC), UCD, Dublin, Ireland, 17-24.

O'Donoghue, D.P., Monahan, R., Grijincu, D., Pitu, M., Halim, F., Rahman, F., Abgaz, Y. and Hurley, D. (2014b) 'Creating Formal Specifications with Analogical Reasoning', PICS-Publication Series of the Institute of Cognitive Science.

O'Donoghue, D.P., Power, J., O'Briain, S., Dong, F., Mooney, A., Hurley, D., Abgaz, Y. and Markham, C. (2014) 'Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes', nternational Conference on Computational Creativity (ICCC), Ljubljana, Slovenia.

Piskorski, J. and Yangarber, R. (2013) 'Information extraction: Past, present and future', Multi-source, multilingual information extraction and summarization, pp. 23-49.

Ramscar, M. and Yarlett, D. (2003) 'Semantic grounding in models of analogy: an environmental approach', Cognitive Science 27, pp. 41-71.

Rattermann, M.J. and Gentner, D. (1998) 'More evidence for a relational shift in the development of analogy: Children's performance on a causal-mapping task', Cognitive Development, vol. 13, no. 4, pp. 453-478.

Saggion, H. (2014) 'Creating Summarization Systems with SUMMA.', Proceedings of Language Rescources and Evaluation Conference.

Shneiderman, B. (2007) 'Creativity support tools: Accelerating discovery and innovation', Communications of the ACM, vol. 50, no. 12, pp. 20-32.

Silvia, P.J., Wigert, B., Reiter-Palmon, R. and Kaufman, J.C. (2012) ' Assessing Creativity with Self-Report Scales: A Review and Empirical Evaluation.', Psychology of Aesthetics, Creativity, and the Arts, vol. 6, no. 1, pp. 19-34.

Stojanov, S. and Indurkhya, B. (2012) 'Perceptual Similarity and Analogy in Creativity and Cognitive Development.', SAMAI Workshop at ECAI, Montpelier France, 19-24.

Veale, T., O'Donoghue, D.P. and Keane, M.T. (2000) 'Computation and Blending', Cognitive Linguistics 11 (3/4), pp. 253-281.

Wu, Z. and Palmer, M. (1994) 'Verbs Semantics and Lexical Selection', in Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, Las Cruces, New Mexico: Association for Computational Linguistics.


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