Fractal Analogies: Preliminary Results from the Raven's Test of Intelligence
Inhaltsverzeichnis
Reference
Keith McGreggor, Maithilee Kunda, and Ashok Goel: Fractal Analogies: Preliminary Results from the Raven's Test of Intelligence. In: Computational Creativity 2011 ICCC 2011, pp. 69-71.
DOI
Abstract
The geometric analogy problems of the Raven's Progressive Matrices tests of intelligence appear to require many of the information-processing elements that form the basis of computational theories of general creativity: imagistic representations and reasoning; pattern detection and abstraction; analogical mapping, transfer and instantiation, and so on. In our method of addressing the test, an image is encoded as fractals, capturing its inherent self-similarity. Herein we present preliminary results from using the fractal technique on all 60 problems from the Standard Progressive Matrices version of the Raven's test.
Extended Abstract
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Used References
Barnsley, M., & Hurd, L. 1992. Fractal Image Compression. Boston, MA: A.K. Peters.
Bringsjord, S., & Schimanski, B. 2003. What is artificial intelligence? Psychometric AI as an answer. IJCAI, 18, 887–893.
Casakin, H., & Goldschmidt, G. Expertise and the Use of Visual Analogy: Implications for Design Education. Design Studies, 20 (2): 153-179, 1999.
Clement, J. (1988) Observed Methods for Generating Analogies in Scientific Problem Solving. Cognitive Science, 12:563-586.
Clement, J. Creative Model Construction in Scientists and Students: The Role of Imagery, Analogy, and Mental Simulation. Dordrecht: Springer. (2008)
Croft, D., & Thagard, P. 2002. Dynamic imagery: A computational model of motion and visual analogy. In L. Magnani & N. J. Nersessian (Eds.), Model-based reasoning: Science, technology, values (pp. 259-274).
Davies, J., Goel, A., & Nersessian, N. 2009. A Computational Model of Visual Analogies in Design. Journal of Cognitive Systems Research, Special Issue on Analogies - Integrating Cognitive Abilities, 10:204-215.
Davies, J., Goel, A., & Yaner, P. 2008. Proteus: A theory of visual analogies in problem solving. Knowledge-Based Systems, 21, 636–654.
Davies, J., Nersessian, N., & Goel, A.K. 2005. Visual models in analogical problem solving. Foundations of Science, 10:133-152. Goel, A. K. Design, Analogy, and Creativity. IEEE Expert 12(3): 62-70. (1997)
Goldschmidt, G. (2001). Visual analogy – A strategy for design reasoning and learning. In Eastman, Newsletter, & McCracken (Eds.), Design knowing and learning: Cognition in design education (pp. 199–219). New York: Elsevier.
Hertzmann, A., Jacobs, C. E., Oliver, N., Curless, B., & Salesin, D. 2001. Image analogies. In SIGGRAPH (pp. 327–340).
Hofstadter, D., & Fluid Analogies Research Group (Eds.). 1995. Fluid concepts & creative analogies: Computer models of the fundamental mechanisms of thought. New York: Basic Books.
Hofstadter, D., & MacGraw, G. 1995. LetterSpirit. In D. Hofstadter & Fluid Analogies Research Group (Eds.), Fluid concepts & creative analogies: Computer models of the fundamental mechanisms of thought. New York: Basic Books.
Holyoak, K., & Thagard, P. Mental Leaps: Analogy in Creative Thought. Cambridge, MA: MIT Press. (1995)
Mandelbrot, B. 1982. The fractal geometry of nature. San Francisco: W.H. Freeman.
McGreggor, K., Kunda, M., & Goel, A. 2010. A fractal approach towards visual analogy. In Proc. International Conference on Computational Creativity, Lisbon, Portugal, January 9-11.
Nersessian, N. Creating Scientific Concepts. Cambridge, MA: MIT Press. (2008)
Nersessian, N. and Chandrasekharan, S. (2009). Hybrid Analogies in Conceptual Innovation in Science. Cognitive Systems Research Journal, Special Issue: Integrative Analogy.
Raven, J., Raven, J. C., & Court, J. H. 1998. Manual for Raven's Progressive Matrices and Vocabulary Scales. San Antonio, TX: Harcourt Assessment.
Tversky, A. 1977. Features of similarity. Psychological Review, 84(4), 327-352.
Yaner, P., & Goel, A. (2008) From Design Drawings to Structural Models by Compositional Analogy. International Journal of AI in Engineering Design, Analysis and Manufacturing, Special Issue on Multimodal Design, 22(2): 117-128.
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