A connectionist account of the relational shift and context sensitivity in the development of generalisation

References

• Badger, J. R., & Shapiro, L. R. (2012). Evidence of a transition from perceptual to category induction in 3- to 9-year old children. Journal of Experimental Child Psychology, 113, 131–146. doi: 10.1016/j.jecp.2012.03.004
   PubMed Web of Science ®Google Scholar
• Bowdle, B., & Gentner, D. (1997). Informativity and asymmetry in comparisons. Cognitive Psychology, 34, 244–286. doi: 10.1006/cogp.1997.0670
   PubMed Web of Science ®Google Scholar
• Bulloch, M. J., & Opfer, J. E. (2009). What makes relational reasoning smart? Revisiting the perceptual-to-relational shift in the development of generalization. Developmental Science, 12, 114–122. doi: 10.1111/j.1467-7687.2008.00738.x
   PubMed Web of Science ®Google Scholar
• Deng, W., & Sloutsky, V. M. (2016). Selective attention, diffused attention, and the development of categorization. Cognitive Psychology, 91, 24–62. doi: 10.1016/j.cogpsych.2016.09.002
   PubMed Web of Science ®Google Scholar
• Doumas, L. A. A., Morrison, R. G., & Richland, L. E. (2018). Individual differences in relational learning and analogical reasoning: A computational model of longitudinal change. Frontiers in Psychology, 9, 1235. doi: 10.3389/fpsyg.2018.01235
   PubMed Web of Science ®Google Scholar
• Doumas, L., Hummel, J., & Sandhofer, C. (2008). A theory of the discovery and predication of relational concepts. Psychological Review, 115, 1–43. doi: 10.1037/0033-295X.115.1.1
   PubMed Web of Science ®Google Scholar
• Falkenhainer, B., Forbus, K. D., & Gentner, D. (1989). The structure-mapping engine: Algorithm and examples. Artificial Intelligence, 41, 1–63. doi: 10.1016/0004-3702(89)90077-5
   Web of Science ®Google Scholar
• Flusberg, S. J., & McClelland, J. L. (2014). Connectionism and the emergence of mind. Oxford University Press Handbook of Cognitive Science (online version).
   Google Scholar
• Flusberg, S. J., Thibodeau, P. H., Sternberg, D. A., & Glick, J. J. (2010). A connectionist approach to embodied conceptual metaphor. Frontiers in Psychology, 1, 12. doi: 10.3389/fpsyg.2010.00197
   PubMed Web of Science ®Google Scholar
• Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7, 155–170. doi: 10.1207/s15516709cog0702_3
   Web of Science ®Google Scholar
• Gentner, D. (1988). Metaphor as structure mapping: The relational shift. Child Development, 59, 47–59. doi: 10.2307/1130388
   Web of Science ®Google Scholar
• Gentner, D. (2010). Bootstrapping the mind: Analogical processes and symbol systems. Cognitive Science, 34, 752–775. doi: 10.1111/j.1551-6709.2010.01114.x
   PubMed Web of Science ®Google Scholar
• Gentner, D., & Forbus, K. D. (2011). Computational models of analogy. WIRES Cognitive Science, 2, 266–276. doi: 10.1002/wcs.105
   Web of Science ®Google Scholar
• Gentner, D., & Markman, A. B. (1995). Analogy-based reasoning in connectionism. In M. Arbib (Ed.), The handbook of brain theory and neural networks (pp. 91–93). Cambridge, MA: MIT Press.
   Google Scholar
• Gentner, D., & Rattermann, M. J. (1991). Language and the career of similarity. In S. A. Gelman & J. P. Byrnes (Eds.), Perspectives on thought and lanauge: Interrelations in development (pp. 225–277). London: Cambridge University Press.
   Google Scholar
• Gentner, D., & Rattermann, M. J. (1998). Deep thinking in children: The case for knowledge change in analogical development. Behavioral and Brain Sciences, 21(6), 837–838. doi: 10.1017/S0140525X9829176X
   Web of Science ®Google Scholar
• Gentner, D., Rattermann, M. J., Markman, A. B., & Kotovsky, L. (1995). Two forces in the development of relational similarity. In T. J. Simon, & G. S. Halford (Eds.), Developing cognitive competence: New approaches to process modeling (pp. 263–313). Hillsdale, NJ: LEA.
   Google Scholar
• Gick, M. L., & Holyoak, K. J. (1980). Analogical problem solving. Cognitive Psychology, 12, 306–355. doi: 10.1016/0010-0285(80)90013-4
   Web of Science ®Google Scholar
• Goswami, U. (1995). Transitive relational mappings in three and four year olds: The analogy of Goldilocks and the three bears. Child Development, 66, 877–892. doi: 10.2307/1131956
   Web of Science ®Google Scholar
• Goswami, U. (1996). Analogical reasoning in cognitive development. In H. Reese (Ed.), Advances in child development and behavior (pp. 92–135). San Diego, CA: Academic Press.
   Google Scholar
• Goswami, U., & Brown, A. L. (1990). Melting chocolate and melting snowmen: Analogical reasoning and causal relations. Cognition, 35(1), 69–95. doi: 10.1016/0010-0277(90)90037-K
   PubMed Web of Science ®Google Scholar
• Halford, G. S., Wilson, W. H., & Phillips, S. (2010). Relational knowledge: The foundation of higher cognition. Trends in Cognitive Sciences, 14(11), 497–505. doi: 10.1016/j.tics.2010.08.005
   PubMed Web of Science ®Google Scholar
• Hayes, B. K., & Thompson, S. P. (2007). Causal relations and feature similarity in children's inductive reasoning. Journal of Experimental Psychology: General, 136, 470–484. doi: 10.1037/0096-3445.136.3.470
   PubMed Web of Science ®Google Scholar
• Hinton, G. (1986). Learning distributed representations of concepts. In Proceedings of the eighth annual conference of the cognitive science society (pp. 1–12). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Hofstadter, D. (2001). Analogy as the core of cognition. In D. Gentner, K. Holyoak, & B. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science (pp. 499–538). Cambridge, MA: MIT Press.
   Google Scholar
• Hummel, J. E., & Holyoak, K. J. (1997). Distributed representations of structure: A theory of analogical access and mapping. Psychological Review, 104, 427–466. doi: 10.1037/0033-295X.104.3.427
   Web of Science ®Google Scholar
• Hummel, J. E., & Holyoak, K. J. (2005). Relational reasoning in a neurally plausible cognitive architecture. Current Directions in Psychological Science, 14, 153–157. doi: 10.1111/j.0963-7214.2005.00350.x
   Web of Science ®Google Scholar
• Kollias, P., & McClelland, J. L. (2013). Context, cortex, and associations: A connectionist developmental approach to verbal analogies. Frontiers in Psychology, 4, 857. doi: 10.3389/fpsyg.2013.00857
   PubMed Web of Science ®Google Scholar
• Lampinen, A., Hsu, S., & McClelland, J. L. (2017). Analogies emerge from learning dynamics in neural networks. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Procedings of the 39th annual Conference of the cognitive science Society (pp. 2512–2517). Austin, TX: Cognitive Science Society.
   Google Scholar
• Leech, R., Mareschal, D., & Cooper, R. (2008). Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill. Behavioral and Brain Sciences, 31, 357–378. doi: 10.1017/S0140525X08004469
   PubMed Web of Science ®Google Scholar
• Lu, H., Wu, Y. N., & Holyoak, K. J. (2019). Emergence of analogy from relation learning. Proceedings of the National Academy of Sciences, 116, 4176–4181. doi: 10.1073/pnas.1814779116
   PubMed Web of Science ®Google Scholar
• Morrison, R. G., Doumas, L. A. A., & Richland, L. E. (2011). A computational account of children’s analogical reasoning: Blanacing inhibitory control in working memory and relational representation. Developmental Science, 14, 516–529. doi: 10.1111/j.1467-7687.2010.00999.x
   PubMed Web of Science ®Google Scholar
• Morrison, R., Krawczyk, D., Holyoak, K., Hummel, J., Chow, T., Miller, B., & Knowlton, B. (2004). A neurocomputational model of analogical reasoning and its breakdown in frontotemporal lobar degeneration. Journal of Cognitive Neuroscience, 16, 260–271. doi: 10.1162/089892904322984553
   PubMed Web of Science ®Google Scholar
• Opfer, J. E., & Bulloch, M. J. (2007). Causal relations drive young children's induction, naming, and categorization. Cognition, 105, 206–217. doi: 10.1016/j.cognition.2006.08.006
   PubMed Web of Science ®Google Scholar
• Penn, D., Holyoak, K., & Povinelli, D. (2008). Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences, 31, 109–130. doi: 10.1017/S0140525X08003543
   PubMed Web of Science ®Google Scholar
• Piaget, J. (1952). The child’s concept of number. New York: Norton.
   Google Scholar
• Rattermann, M., & Gentner, D. (1998). More evidence for a relational shift in the development of analogy: Children’s performance on a causal-mapping task. Cognitive Development, 13, 453–478. doi: 10.1016/S0885-2014(98)90003-X
   Web of Science ®Google Scholar
• Rogers, Timothy T., & McClelland, James L. (2008). Précis of Semantic Cognition: A Parallel Distributed Processing Approach. Behavioral and Brain Sciences, 31(6), 689–714. doi:10.1017/S0140525X0800589X.
   Web of Science ®Google Scholar
• Rogers, T. T., & McClelland, J. L. (2004). Semantic cognition. Cambridge, MA: MIT Press.
   Google Scholar
• Rumelhart, D. (1990). Brain style computation: Learning and generalization. In S. Zornetzer, J. L. Davis, & C. Lau (Eds.), An introduction to neural and electronic networks (pp. 405–420). San Diego, CA: Academic Press.
   Google Scholar
• Sloutsky, V. M., Deng, W., Fisher, A. V., & Kloos, H. (2015). Conceptual Influences on Induction: A case for a Late Onset. Cognitive Psychology, 82, 1–31. doi: 10.1016/j.cogpsych.2015.08.005
   PubMed Web of Science ®Google Scholar
• Tarlowski, A. (2018). Ontological constraints in children’s inductive inferences: Evidence from a comparison of inferences within animals and vehicles. Frontiers in Psychology, 9, 520. doi: 10.3389/fpsyg.2018.00520
   PubMed Web of Science ®Google Scholar
• Thibodeau, P. H., Flusberg, S. J., Glick, J. J., & Sternberg, D. A. (2013). An emergent approach to analogical inference. Connection Science, 25, 27–53. doi: 10.1080/09540091.2013.821458
   Web of Science ®Google Scholar