SELECTED PUBLICATIONS
Conway-Smith, B., & West, R. L. (2024). Toward Autonomy: Metacognitive Learning for Enhanced AI Performance . In AAAI Spring Symposium on Human-Like Learning in AI. PDF
West, R., Eckler, S., Conway-Smith, B., Turcas, N., Kelly, M. (2023). Bridging Generative Networks with the Common Model of Cognition. In AAAI Fall Symposium. PDF
Conway-Smith, B., & West, R. L. (2022). System-1 and System-2 Realized Within the Common Model of Cognition. In AAAI Fall Symposium: Thinking Fast & Slow and Other Cognitive Theories in AI. PDF
Kelly, M. A., Arora, N., West, R. L., & Reitter, D. (2020). Holographic declarative memory: distributional semantics as the architecture of memory. Cognitive Science, 44(11), e12904. Link
West, R. L., & Conway-Smith, B. (2019). Put Feeling into Cognitive Models: A Computational Theory of Feeling. In Proceedings of ICCM 2019 17th International Conference on Cognitive Modelling (pp. 295-300). PDF
West, R. L., & Young, J. T. (2017, October). Proposal to add emotion to the standard model. In 2017 AAAI Fall Symposium Series. PDF
Arora, N., West, R., Brook, A., & Kelly, M. (2018). Why the Common Model of the mind needs holographic a-priori categories. Procedia Computer Science, 145, 680-690. PDF
Kelly, M. A., Mewhort, D. J., & West, R. L. (2017). The memory tesseract: Mathematical equivalence between composite and searate storage memory models. Journal of Mathematical Psychology, 77, 142-155. PDF
Rutledge-Taylor, M. F., Kelly, M. A., West, R. L., & Pyke, A. A. (2014). Dynamically structured holographic memory. Biologically Inspired Cognitive Architectures, 9, 9-32. PDF
West, R. L., & MacDougall, K. (2014). The macro-architecture hypothesis: Modifying Newell’s system levels to include macro-cognition. Biologically Inspired Cognitive Architectures, 8, 140-149. PDF
