1. Trafton, J.G., Hiatt, L.M., Brumback, B., McCurry, J.M.: Using cognitive models to train big data models with small data. In: An, B., Yorke-Smith, N., El Fallah Seghrouchni, A., Sukthankar, G. (eds.). Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), pp. 1413–1421. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC (2020). ISBN 978-1-4503-7518-4
2. Karabelnikova, Y., Samsonovich, A.V.: Virtual partner dance as a paradigm for empirical study of cognitive models of emotional intelligence. Procedia Comput. Sci. 190, 414–433 (2021). https://doi.org/10.1016/j.procs.2021.06.05
3. Samsonovich, A.V.: Emotional biologically inspired cognitive architecture. Biol. Inspired Cogn. Archit. 6, 109–125 (2013)
4. Samsonovich, A.V.: Socially emotional brain-inspired cognitive architecture framework for artificial intelligence. Cogn. Syst. Res. 60, 57–76 (2020). https://doi.org/10.1016/j.cogsys.2019.12.002
5. Marsella, S., Gratch, J., Petta, P.: Computational models of emotion. In: Scherer, K.R., Bänziger, T., Roesch, E. (eds.) A Blueprint for Affective Computing: A Sourcebook and Manual. Oxford University Press, Oxford (2010)