Faghihi, U., Estey, C., McCall, R., & Franklin, S. (2015). A Cognitive Model Fleshes Out Kahneman’s Fast and Slow Systems. Biologically Inspired Cognitive Architectures, 11, 38–52. (PDF)


McCall, R. (2014). Fundamental Motivation and Perception for a Systems-Level Cognitive Architecture (Doctoral dissertation). (PDF)


McCall, R. & Franklin, S. (2013). Cortical Learning Algorithms with Predictive Coding for a Systems-Level Cognitive Architecture. Proceedings of the Second Annual Conference on Advances in Cognitive Systems (pp. 149–166). Baltimore, MD, USA. (PDF, Poster)

Franklin, S., Strain, S., McCall, R., & Baars, B. (2013). Conceptual Commitments of
the LIDA Model of Cognition. Journal of Artificial General Intelligence, 4(2), 1-22, DOI: 10.2478/jagi-2013-0002 (PDF)


Faghihi, U., McCall, R., & Franklin, S. (2012). A Computational Model of Attentional Learning in a Cognitive Agent. Biologically Inspired Cognitive Architectures2, 25–36. (PDF)

Franklin, S., Strain, S., Snaider, J., McCall, R., & Faghihi, U. (2012). Global Workspace Theory, its LIDA Model and the Underlying Neuroscience. Biologically Inspired Cognitive Architectures1. doi: 10.1016/j.bica.2012.04.001 (PDF)

McCall, R. & Franklin, S. (2012). Meta Learning, Change of Internal Workings, and LIDA: A
commentary on Thórisson and Helgasson’s “Cognitive architectures and autonomy: A Comparative Review” [Peer commentary by R. McCall & S. Franklin]. Journal of Artificial General Intelligence, 3(2), 42-44, doi: 10.2478/v10229-011-0016-2 (PDF)

Snaider, J., McCall, R., & Franklin, S. (2012). Time production and representation in a conceptual and computational cognitive model. Cognitive Systems Research, 13(1), 59-71. doi: 10.1016/j.cogsys.2010.10.004 (PDF)



Snaider, J., McCall, R., Franklin, S., (2011). The LIDA Framework as a General Tool for AGI. The Proceedings of the Fourth Conference on Artificial General Intelligence (AGI-11). (PDF)



McCall, R., Franklin, S., & Friedlander, D. (2010). Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc. Paper presented at the FLAIRS-23, Daytona Beach, FL. (PDF)



Snaider, J., McCall, R., & Franklin, S. (2009). Time Production and Representation in a Conceptual and Computational Cognitive Model. Paper presented at the AAAI Fall Symposium on “BICA”,Washington, DC. (PDF)



Dale, R., Roche, J., Snyder, K., McCall, R. (2008). Exploring Action Dynamics as an Index of Paired-Associate Learning. PLoS ONE3(3), e1728.



Liew, C.W., Shapiro, J., Smith, D.E., McCall, R.J. (2007). Understanding Student Answers in Introductory Physics Course. In Proceedings of Artificial Intelligence in Education (AIED-2007).