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Scott, SK, Barnard, PJ and May, J (2001). Specifying executive representations and processes in number generation tasks. Quarterly Journal of Experimental Psychology, Section A - Human Experimental Psychology 54(3), 641-664.

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Barnard, PJ, Scott, SK and May, J (2001). When the central executive lets us down: Schemas, attention, and load in a generative working memory task. Memory, 9 (4-6), pp. 209-221. ISSN/ISBN:0965-8211. DOI:10.1080/09658210143000191. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Burns, BD (2020). Do people fit to Benford’s law, or do they have a Benford bias?. Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society, pp. 1729-1735. View Complete Reference Online information Works that this work references Works that reference this work
Chi, D (2020). First Digit Phenomenon in Number Generation Under Uncertainty: Through the Lens of Benford’s Law. Master's thesis, School of Psychology, University of Sydney. View Complete Reference Online information Works that this work references Works that reference this work
Chi, D and Burns, BD (2022). Why do People fit to Benford’s Law? – A Test of the Recognition Hypothesis. In: Proceedings of the 44th Annual Conference of the Cognitive Science Society, J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), pp. 3648-3654. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Haferkorn, M (2013). Humans vs. Algorithms – Who Follows Newcomb-Benford’s Law Better with Their Order Volume?. In: Rabhi F.A., Gomber P. (eds), Enterprise Applications and Services in the Finance Industry: Lecture Notes in Business Information Processing Volume 135, pp. 61-70 . ISSN/ISBN:9783642362187. DOI:10.1007/978-3-642-36219-4_4. View Complete Reference Online information Works that this work references Works that reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work