Publications

2018

Brown, E., Park, S., Warford, N., Seiffert, A., Kawamura, K., Lappin, J., and Kunda, M. (2018). SpatioTemporal Template-based Search: An architecture to model human search for spatiotemporal targets. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.

Brown, E., Park, S., Warford, N., Seiffert, A., Kawamura, K., Lappin, J., and Kunda, M. (2018). An architecture for spatiotemporal template-based search. Advances in Cognitive Systems, 6, 101-118.

Eilbert, J., Peters, Z., Eliott, F., Stassun, K., and Kunda, M. (2018). Shapes in scatterplots: Comparing human visual impressions and computational metrics. 40th Annual Meeting of the Cognitive Science Society, Madison, WI.

Eliott, F., Stassun, K., and Kunda, M. (2018). IACI: A human-inspired computational architecture to help us understand visual data exploration. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.

Kunda, M. (2018). Visual mental imagery: A view from artificial intelligence. Cortex, 105, 155-172. [pdf] [bibtex]

Palmer, J. H., and Kunda, M. (2018). Thinking in PolAR pictures: Using rotation-friendly mental images to solve Leiter-R Form Completion. AAAI National Conference.

Wang, X., Ma, T., Molla, A., Cha, S., Ainooson, J., Wang, X., and Kunda, M. (2018). An object is more than a single image: The Toybox dataset of visual object transformations. Vision Meets Cognition Workshop at the 2018 Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah.

Wang, X., Wang, X., and Kunda, M. (2018). Ordering of training inputs for a neural network learner. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.

Warford, N., and Kunda, M. (2018). Measuring individual differences in visual and verbal thinking styles. 40th Annual Meeting of the Cognitive Science Society, Madison, WI.

2017

Ainooson, J., and Kunda, M. (2017). A computational model for reasoning about the Paper Folding task using visual mental images. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK.

Brown, E. L., II, Seiffert, A. E., Warford, N., Park, S., & Kunda, M. (2017). Computational cognitive systems to model information salience. American Indian Science and Engineering Society National Conference (AISES), Denver, CO.

Eliott, F. M., Stassun, K., and Kunda, M. (2017). Visual data exploration: How expert astronomers use flipbook-style visual approaches to understand new data. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK.

Kunda, M. (2017). Understanding the role of visual mental imagery in intelligence: The Retinotopic Reasoning (R2) cognitive architecture. Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium Series: A Standard Model of the Mind, Washington, DC.

Wang, X., Eliott, F., Ainooson, J., Palmer, J., and Kunda, M. (2017). An object is worth six thousand pictures: The egocentric, manual, multi-image (EMMI) dataset. In International Conference on Computer Vision Workshop on Egocentric Perception, Interaction, and Computing (EPIC@ICCV), Venice, Italy.

2016

Kunda, M., El-Banani, M., and Rehg, J. (2016). A computational exploration of problem-solving strategies and gaze behaviors on the Block Design task. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia, PA. [pdf]

Kunda, M., and Ting, J. (2016). Looking around the mind’s eye: Attention-based access to visual search templates in working memory. Advances in Cognitive Systems, 4, 113–129. [pdf]

Kunda, M. (2016). Visual imagination: A view from artificial intelligence. Eye’s Mind Conference: Visual Imagination, Neuroscience and the Humanities, Norwich, UK.

2015

Kunda, M. (2015). Computational mental imagery, and visual mechanisms for maintaining a goal-subgoal hierarchy. Third Annual Conference on Advances in Cognitive Systems, Atlanta, GA. [pdf]

Kunda, M. (2015). Thinking in Pictures. Sci Foo Camp, Mountain View, CA.

Kunda, M., and Ting, J. (2015). Looking around the mind’s eye: How internal deployments of attention can affect visual search performance. Third Annual Conference on Advances in Cognitive Systems, Atlanta, GA. [pdf]

2014

McGreggor, K., Kunda, M., and Goel, A. K. (2014). Fractals and Ravens. Artificial Intelligence, 215, pp. 1-23. [article]

2013

Goel, A. K., Kunda, M., Joyner, D., and Vattam, S. (2013). Learning about representational modality: Design and programming projects for knowledge-based AI. In Fourth AAAI Symposium on Educational Advances in Artificial Intelligence, Bellevue, WA.

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, 22-23, pp. 47-66. [article]

Kunda, M., Soulieres, I., Rozga, A., and Goel, A. (2013). Errors made on Raven’s Progressive Matrices as a window into cognitive strategy. 35th Annual Conference of the Cognitive Science Society, Berlin, Germany. [article]

2012

Kunda, M., McGreggor, K., and Goel, A. K. (2012). Reasoning on the Raven’s Advanced Progressive Matrices test with iconic visual representations. 34th Annual Conference of the Cognitive Science Society, Portland, OR, pp. 1828-1833. [article]

2011

Kunda, M., and Goel, A. K. (2011). Thinking in Pictures as a cognitive account of autism. Journal of Autism and Developmental Disorders, 41 (9), pp. 1157-1177. [article]

Kunda, M., McGreggor, K., and Goel, A. K. (2011). Two visual strategies for solving the Raven’s Progressive Matrices intelligence test. AAAI National Conference, San Francisco, CA. [pdf]

McGreggor, K., Kunda, M., and Goel, A. K. (2011). Fractal analogies: Preliminary results from the Raven’s test of intelligence. 2nd International Conference on Computational Creativity, Mexico City, Mexico.

Kunda, M., Soulieres, I., Mottron, L., and Goel, A. K. (2011). Comparing patterns of errors on the Raven’s Progressive Matrices test: Strategy differences among typically developing individuals, individuals with autism, and computational models. International Meeting for Autism Research (IMFAR), San Diego, CA. [abstract]

2010

Kunda, M., McGreggor, K., and Goel, A. K. (2010). Taking a look (literally!) at the Raven’s intelligence test: Two visual solution strategies. 32nd Annual Conference of the Cognitive Science Society, Portland, OR, pp. 1691-1696. [article]

McGreggor, K., Kunda, M., and Goel, A. K. (2010). A fractal approach towards visual analogy. 1st International Conference on Computational Creativity, Lisbon, Portugal.

Kunda, M., McGreggor, K., and Goel, A. K. (2010). Can the Raven’s Progressive Matrices intelligence test be solved by thinking in pictures? International Meeting for Autism Research (IMFAR), Philadelphia, PA. [abstract]

McGreggor, K., Kunda, M., and Goel, A. K. (2010). A fractal analogy approach to Raven’s test of intelligence. AAAI Workshop on Visual Representations and Reasoning, Atlanta, GA.

2009

Kunda, M., McGreggor, K., and Goel, A. K. (2009). Addressing the Raven’s Progressive Matrices test of general intelligence. AAAI Fall Symposium on Multi Representational Architectures for Human Level Intelligence, Washington, D.C.

Kunda, M., and Goel, A. (2009). Evidence for Thinking in Pictures as a cognitive account of autism. International Meeting for Autism Research (IMFAR), Chicago, IL. [abstract]

2008

Kunda, M., and Goel, A. K. (2008). How Thinking in Pictures can explain many characteristic behaviors of autism. 7th IEEE International Conference on Development and Learning, Monterey, CA, pp. 304-309. [article]

Kunda, M., and Goel, A. K. (2008). What can pictorial representations reveal about the cognitive characteristics of autism? 5th International Conference on the Theory and Application of Diagrams, Herrsching, Germany. LNCS, 5223, pp. 103-117. [article]

Kunda, M., and Goel, A. K. (2008). Thinking in Pictures: A fresh look at cognition in autism. 30th Annual Conference of the Cognitive Science Society, Washington, DC, pp. 321-326. [pdf]

2007

Neidhoefer, J., Gibson, C., Kunda, M., and Johnson, E. (2007). Determinism and autonomy in the National Airspace System (NAS). Journal of Aerospace Computing, Information, and Communication, 4 (11), pp. 1037-1045. [article]

Neidhoefer, J., Gibson, C., Kunda, M., and Johnson, E. (2007). Determinism in autonomy for applications in the National Airspace System (NAS). American Institute for Aeronautics and Astronautics: Infotech@Aerospace, Rohnert Park, CA. [article]

2005

Marquez, J., Cummings, M., Roy, N., Kunda, M., and Newman, D. (2005). Collaborative human-computer decision support for planetary surface traversal. American Institute for Aeronautics and Astronautics: Infotech@Aerospace, Arlington, VA. [pdf]

Kunda, M., Marland, G., Canella, L., Schlamadinger, B., and Bird, N. (2005). Impact of albedo change on carbon sequestration strategies. Third USDA Symposium on Greenhouse Gases and Carbon Sequestration in Agriculture and Forestry, Baltimore, MD. [abstract]

Kunda, M., Bird, N., Canella, L., Marland, G., and Schlamadinger, B. (2005). Carbon management, earth surface albedo, and biomass fuels. 14th European Biomass Conference and Exhibition: Biomass for Energy, Industry, and Climate Protection, Paris, France.