Abstract
This study focused on two different views about the role of category label in inductive reasoning: perceptional-similarity-based and conception-based views. We used an inductive reasoning task, possibility judgment for a feature of artificial insect, to record behavioral performance in experiment 1 and brain activity with ERP in experiment 2. Two factors were manipulated: visual similarity of artificial insect, and whether with same label or not. The result suggests that the conception-based view is not supported here. The category label may enhance the perceptual characteristics, since labels have same visual and sound features; but it is hard to deny the role of conceptual information contained by a label to affect the inductive reasoning.
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References
Anderson, J.R.: The adaptive nature of human categorization. Psychological Review 98(3), 409–429 (1991)
Coles, M.G.H., Rugg, M.D.: Event-related brain potentials: an introduction. In: Electrophysiology of Mind. Oxford Scholarship Online Monographs, pp. 1–27 (1996)
Fisher, R.: Design of experiments, pp. 202–245. Hafner Publishing Company, New York (1951)
Gelman, S.A., Markman, E.M.: Categories and induction in young children. Cognition 23, 183–209 (1986)
Kutas, M., Hillyard, S.A.: Reading Senseless Sentences: Brain Potentials Reflect Semantic Incongruity. Science 207, 203–205 (1980)
Li, H., Chen, A., Feng, T., Li, F., Long, C.: A brief perspective of the development of induction and its potential mechanism. Psychological Science 27(6), 1457–1459 (2004)
Luck, S.J.: An Introduction to the Event-Related Potential Technique. The MIT Press, Boston (2005)
McCarthy, G., Donchin, E.: A metric for thought: a comparison of P300 latency and reaction time. Science 211, 77–80 (1981)
Murphy, G.L., Ross, B.H.: Predictions from uncertain categorizations. Cognitive Psychology 27, 148–193 (1994)
Osherson, D.N., Smith, E.E., Wilkie, O., Lopea, A., Shafir, E.: Category-based induction. Psychological Review 97, 185–200 (1990)
Sloman, S.A.: Feature-based induction. Cognitive Psychology 25, 231–280 (1993)
Sloutsky, V.M., Lo, Y.F.: How much does a shared name make things similar? Part l: linguistic labels and the development of similarity judgment. Developmental Psychology 35, 1478–1492 (1999)
Sloutsky, V.M., Lo, Y.F., Fisher, A.V.: How much does a shard name make things similar: linguistic labels and the development of inductive inference. Child Development 72, 1695–1709 (2001)
Yamauchi, T.: Labeling bias and categorical induction: generative aspects of category information. Journal of Experimental Psychology: Learning, Memory and Cognition 31(3), 538–553 (2005)
Yamauchi, T., Yu, N.Y.: Category labels versus feature labels: category labels polarize inferential predictions. Memory and Cognition 36(3), 544–553 (2008)
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Wang, X., Long, Z., Fan, S., Yu, W., Zhou, H., Qin, Y. (2012). The Role of Category Label in Adults’ Inductive Reasoning. In: Zanzotto, F.M., Tsumoto, S., Taatgen, N., Yao, Y. (eds) Brain Informatics. BI 2012. Lecture Notes in Computer Science(), vol 7670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35139-6_6
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DOI: https://doi.org/10.1007/978-3-642-35139-6_6
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