Dr. Kat Agres

Title: Scientist
Tel: 64191126

Research Interest

  • Music perception and cognition
  • Cognitive modeling and simulation
  • Music Technology and Health
  • Electroencephalography (EEG)
  • Statistical learning
  • Auditory expectation
  • Memory


  • Postdoctoral Researcher, Music Cognition and Computational Creativity, Queen Mary University of London, 2012-2016
  • Ph.D, Experimental Psychology (with a graduate minor in Cognitive Science) , Cornell University, 2012
  • BHA (Bachelor and Humanities of Arts), Cognitive Psychology and Cello Performance, Carnegie Mellon University, 2005


  • Agres, K. R., Pearce, M. T., & Abdallah, S. A. (2017). Information Theoretic Properties of Tone Sequences Dynamically Influence Expectation and Memory. Cognitive Science. DOI:10.1111/cogs.12477.
  • Agres, K., Herremans, D., Bigo, L., & Conklin, D. (2017). The Effect of Harmonic Structure on Enjoyment in Uplifting Trance Music. Frontiers in Psychology: Cognitive Science, 7:1999. DOI:10.3389/fpsyg.2016.01999.
  • Agres, K., Forth, J., & Wiggins, G. (2016). Evaluation of musical creativity and musical metacreation systems. ACM Comp in Ent, 14(3), 1-33. DOI:10.1145/2967506.
  • Forth, J., Agres K., Purver M., & Wiggins G. (2016). Entraining IDyOT: timing in the information dynamics of thinking. Frontiers in Psychology: Auditory Cognitive Neuroscience, 7:1575. DOI:  10.3389/fpsyg.2016.01575.
  • Agres, K., & Suáve, S. (2016). Workshop on Auditory Neuroscience, Cognition, and Modeling. Psychomusicology: Music, Mind, and Brain, 26, 288-292. DOI: 10.1037/pmu0000151.
  • McGregor*, S., Agres*, K, Purver, M., & Wiggins, G. (2015). Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation. Journal of Artificial General Intelligence, 6, pp. 55-86. DOI: 10.1515/jagi-2015-0004. *Co-first authors.
  • Krumhansl, C. L., & Agres, K. R. (2008). Musical expectancy: The influence of musical structure on emotional response. Commentary on P. Juslin & D. Västfjäll’s target article ‘Emotional Responses to Music: The Need to Consider Underlying Mechanisms.’ Behavioral and Brain Sciences, Cambridge University Press.

Book Chapter(s)

  • Lattner, S., Grachten, M., Agres, K., & Cancino, C. (2015). Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. In T. Collins, D. Meredith, & A. Volk (eds.), Mathematics and Computation in Music: Proceedings of the 5th International Conference, MCM 2015, London, UK, June 22-25, 2015. Lecture Notes in Artificial Intelligence, Vol. 9110. Springer, Berlin.
  • Agres K., & Wiggins G. (2015). Schematic processing as a framework for learning and creativity in CBR and CC. In Hüllermeier, E, & M. Minor (Eds.), Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28-30, 2015. Lecture Notes in Artificial Intelligence, Vol. 9343. Springer, Berlin.


  • Agres, K., McGregor, S., Rataj, K., Purver, M., & Wiggins, G. (2016). Modeling metaphor perception with distributional semantics vector space models. Proceedings of the workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI): Bolzano, Italy.
  • Xiao, P., Alnajjar, K., Granroth-Wilding, M., Agres, K., Toivonen, H. (2016). Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. In Clark, S., Llano, M.T., Hepworth, R., Colton, S., Gow, J. & Charnley, J. (Eds), Proceedings of the Seventh International Conference on Computational Creativity.
  • Agres, K., Bigo, L., Herremans, D., & Conklin, D. (2016). The Effect of Repetitive Structure on Enjoyment in Uplifting Trance Music. In Proceedings of the 14th International Conference for Music Perception and Cognition (ICMPC). ISBN 1-876346-65-5.
  • Agres, K., Grachten, M., Cancino, C., & Lattner, S. (2015). A Computational Approach to Modeling the Perception of Pitch and Tonality in Music. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. Jennings, & P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
  • Agres, K., McGregor, S., Purver, M., & Wiggins, G. (2015). Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. Proceedings of the Sixth International Conference on Computational Creativity (ICCC 2015). Hannu Toivonen, Simon Colton, Michael Cook, Dan Ventura (Editors). Park City, Utah, June 29 – July 2, 2015. Publisher: Brigham Young University, Provo, Utah. ISBN 9780842529709.
  • Agres, K. R., Pearce, M. T., & Abdallah, S. A. (2013). An information theoretic approach to short-term musical memory. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. ISBN 978-0-9768318-9-1.
  • Agres, K., Topel, S., Spivey, M., & Moseson, S. (2010). An Auditory Twist on Visual Search Using Head Movement Controlled Ambisonics. In Proceedings of the 2010 International Computer Music Conference. New York, NY.
  • Agres, K. R., Delong, J. E., & Spivey, M. J. (2009). The Sparsity of Simple Recurrent Networks in Musical Structure Learning. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Schomaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. ISBN 978-0-9768318-5-3.
  • Agres, K. R., & Krumhansl, C. L. (2008). Musical change deafness: The ability to detect change in a non-speech auditory domain. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 969-974). Austin, TX: Cognitive Science Society. ISBN 978-0-9768318-4-6.


Honors and awards
  • Named Postdoctoral Researcher, Learning to Create (Lrn2Cre8) project funded by the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission (grant #610859), 2013-2016
  • NIH Fellow, National Institute of Health research training fellowship (NIH T32HD055177), 2009-2011
  • Sage Fellowship, Cornell University, 2006-2012
  • Phi Kappa Phi Award of Excellence grant, 2006
  • National Science Foundation (NSF) Travel Grant, 2008
  • National Science Foundation (NSF) Pre-doctoral Fellowship Honorable Mention, 2008
  • International Conference of Music Perception and Cognition (Sapporo, Japan), Best Student Paper award, 2008
  • Tomlinson Doctoral Fellowship (declined), McGill University, 2006
  • Member, Phi Beta Kappa academic honor society, 2006
  • Member, Psi Chi and Phi Kappa Phi academic honor societies, 2005
  • NIMH Fellow, National Institute of Mental Health Fellowship grant, 2004-2005
  • Carnegie Mellon Presidential Scholar, 2004-2005

Professional Services and Involvement
  • Program Committee, Conference on Computer Simulation of Musical Creativity (CSMC), Milton Keynes, UK, Sep 2017
  • Program Committee, International Conference on Computational Creativity (ICCC), Atlanta, Georgia, June 2017
  • Invited speaker, International Workshop on Deep Learning for Music, in conjunction with the 2017 IEEE International Joint Conference on Neural Networks, Anchorage, Alaska, 2017
  • Program Committee, Cognitive Robotics and Computational Creativity Workshop (CRCC), IEEE International Conference on Robotic Computing, Taichung, Taiwan, April 2017
  • Program Chair, Organization Committee member, Workshop on Conceptual Blending and Metaphor Generation, Ljubljana, Slovenia, April 2016
  • Program Committee, International Conference on Computational Creativity (ICCC), Paris, France, June 2016
  • Program Committee, Experience and Creativity Workshop at the International Conference on Case-Based Reasoning (ICCBR), Frankfurt am Main, Germany, Sep 2015
  • Invited panellist, 1st Conference on Computer Simulation of Musical Creativity, University of Huddersfield, UK, June 2016
  • Postgraduate Certificate in Academic Practice (PGCAP) program: Certificate in Learning and Teaching (CILT), Queen Mary University of London, 2016
  • Certified STEM Ambassador in Greater London for STEMNET (Science, Technology, Engineering, and Mathematics network) outreach, London, UK, 2016