1 Hayes, BK. %22The development of inductive reasoning%22. In: Feeney, A, Heit, E, eds. Inductive Reasoning: Experimental, Developmental and Computational Approaches. Cambridge University Press
; 2007; 25–54.
2 Heit, E. Properties of inductive reasoning. Psychon Bull Rev 2000, 7: 569–592.
3 Heit, E. %22Models of inductive reasoning%22. In: Sun, R, ed. Cambridge Handbook of Computational Psychology. New York, NY: Cambridge University Press
; 2008; 322–338.
4 Osherson, DN, Smith, EE, Wilkie, O, Lopez, A. Category‐based induction. Psychol Rev 1990, 97: 185–200.
5 Keates, J, Graham, SA. Category markers or attributes: why do labels guide infants` inductive inferences?. Psychol Sci 2008, 19: 1287–1293.
6 Sloutsky, VM, Fisher, AV. Induction and categorization in young children: a similarity‐based model. J Exp Psychol Gen 2004, 133: 166–188.
7 Heit, E, Hayes, BK. Relations between categorization, induction, recognition and similarity. J Exp Psychol Gen 2005, 134: 596–605.
8 Hayes, BK, McKinnon, R, Sweller, N. The development of category‐based induction: re‐thinking conclusions from the induction then recognition paradigm. Dev Psychol 2008, 44: 1430–1444.
9 Rips, LJ. Inductive judgements about natural categories. J Verbal Learn Verbal Behav 1975, 14: 665–681.
10 Carey, S. Conceptual Change in Childhood
. Cambridge, MA Bradford Books
11 Lopez, A, Gelman, SA, Gutheil, G, Smith, EE. The development of category‐based induction. Child Dev 1992, 63: 1070–1090.
12 Medin, DL, Waxman, S. %22Interpreting asymmetries of projection in children`s inductive reasoning%22. In: Feeney, A, Heit, E, eds. Inductive Reasoning: Experimental, Developmental and Computational Approaches
. New York, NY Cambridge University Press
; 2007; 55–80.
13 Gelman, SA, O`Reilly, AW. Children`s inductive inferences within superordinate categories: the role of language and category structure. Child Dev 1988, 59: 876–887.
14 Hampton, JA, Cannon, I. Category‐based induction: an effect of conclusion typicality. Mem Cognit 2004, 32: 235–243.
15 Nisbett, RE, Krantz, DH, Jepson, C, Kunda, Z. The use of statistical heuristics in everyday inductive reasoning. Psychol Rev 1983, 90: 339–363.
16 Gelman, SA. The development of induction within natural kind and artefact categories. Cogn Psychol 1988, 20: 65–95.
17 Coley, JD, Hayes, B, Lawson, C, Moloney, M. Knowledge, expectations and inductive reasoning within conceptual hierarchies. Cognition 2004, 90: 217–253.
18 Nagel, E. Principles of the Theory of Probability
. Chicago, IL University of Chicago Press
19 Heit, E, Feeney, A. Relations between premise similarity and inductive strength. Psychon Bull Review 2005, 12: 340–344.
20 Lopez, A. The diversity principle in the testing of arguments. Mem Cognit 1995, 23: 374–382.
21 Feeney, A. How many processes underlie category‐based induction? Effects of conclusion specificity and cognitive ability. Mem Cognit 2007, 35: 1830–1839.
22 Lo, Y, Sides, A, Rozelle, J, Osherson, D. Evidential diversity and premise probability in young children`s inductive judgment. Cogn Sci 2002, 26: 181–206.
23 Heit, E, Hahn, U, Feeney, A. %22Defending diversity%22. In: Ahn, W, Goldstone, RL, Love, BC, Markman, AB, Wolfe, P, eds. Categorisation Inside and Outside the Laboratory: Essays in Honor of Douglas L. Medin
. Washington, DC American Psychological Association
; 2005; 87–99.
24 Sloman, SA. Feature‐based induction. Cogn Psychol 1993, 25: 231–280.
25 Sloman, SA. Categorical inference is not a tree: the myth of inheritance hierarchies. Cogn Psychol 1998, 35: 1–33.
26 Rhodes, M, Brickman, D, Gelman, SA. Sample diversity and premise typicality in inductive reasoning: evidence for developmental change. Cognition 2008, 108: 543–556.
27 Rhodes, M, Gelman, SA, Brickman, D. Children`s attention to sample composition in learning, teaching, and discovery. Dev Sci 2009, 1: 1–9.
28 Heit, E, Hahn, U. Diversity‐based reasoning in children. Cogn Psychol 2001, 43: 243–273.
29 Bailenson, JN, Shum, MS, Atran, S, Medin, DL, Coley, JD. A bird`s eye view: biological categorization and reasoning within and across cultures. Cognition 2002, 84: 1–53.
30 Lopez, A, Atran, S, Coley, JD, Medin, DL, Smith, EE. The tree of life: universal and cultural features of folkbiological taxonomies and inductions. Cogn Psychol 1997, 32: 251–295.
31 Atran, S, Medin, D. The Native Mind and the Cultural Construction of Nature
. Cambridge MIT Press
32 Bang, M, Medin, D, Atran, S. Cultural mosaics and mental models of nature. Proc Natl Acad Sci U S A 2007, 104: 13868–13874.
33 Shafto, P, Coley, JD, Vitkin, A. %22Availability in category‐based induction%22. In: Feeney, A, Heit, E, eds. Inductive Reasoning: Experimental, Developmental, and Computational Approaches
. New York, NY Cambridge University Press
; 2007; 114–136.
34 Proffitt, JB, Coley, JD, Medin, DL. Expertise and category‐based induction. J Exp Psychol Learn Mem Cogn 2000, 26: 811–828.
35 Shafto, P, Coley, JD, Baldwin, D. Effects of time pressure on context‐sensitive property induction. Psychon Bull Rev 2007, 14: 890–894.
36 Heit, E, Rubinstein, J. Similarity and property effects in inductive reasoning. J Exp Psychol Learn Mem Cogn 1994, 20: 411–422.
37 Ross, BH, Murphy, GL. Food for thought: cross‐classification and category organization in a complex real‐world domain. Cogn Psychol 1999, 38: 495–553.
38 Smith, EE, Shafir, E, Osherson, D. Similarity, plausibility, and judgements of probability. Cognition 1993, 49: 67–96.
39 Nguyen, SP, Murphy, GL. An apple is more than just a fruit: cross‐classification in children`s concepts. Child Dev 2003, 74: 1783–1806.
40 Medin, DL, Coley, JD, Storms, G, Hayes, BK. A relevance theory of induction. Psychon Bull Rev 2003, 10: 517–532.
41 Feeney, A, Shafto, P, Dunning, D. Who is susceptible to conjunction fallacies in category‐based induction? Psychon Bull Rev 2007, 14: 884–889.
42 Lassaline, ME. Structural alignment in induction and similarity. J Exp Psychol Learn Mem Cogn 1996, 22: 754–770.
43 Rehder, B. When similarity and causality compete in category‐based property generalization. Mem Cognit 2006, 34: 3–16.
44 Hayes, BK, Thompson, SP. Causal relation and feature similarity in children`s inductive reasoning. J Exp Psychol Gen 2007, 136: 470–484.
45 Sobel, DM, Kirkham, NZ. Blickets and babies: The development of causal reasoning in toddlers and infants. Dev Psychol 2006, 42: 1103–1115.
46 Rehder, B. Causal‐based property generalization. Cogn Sci 2009, 33: 301–343.
47 Rehder, B, Burnett, RC. Feature inference and the causal structure of categories. Cogn Psychol 2005, 50: 364–314.
48 Crisp, AK, Feeney, A. Causal conjunction fallacies: the roles of causal strength and mental resources. Q J Exp Psychol 2009, 63: 2320–2337.
49 Blok, SV, Medin, DL, Osherson, DN. Induction as conditional probability judgement. Mem Cognit 2007, 35: 1353–1364.
50 Heit, E. %22A Bayesian analysis of some forms of inductive reasoning%22. In: Oaksford, M, Chater, N, eds. Rational Models of Cognition
. Oxford, UK: Oxford University Press
; 1998; 248–274.
51 Tenenbaum, JB, Griffiths, TL. Generalization, similarity and Bayesian inference. Behav Brain Sci 2001, 24: 629–640.
52 Shafto, P, Kemp, C, Bonawitz, EB, Coley, JD. Inductive reasoning about causally transmitted properties. Cognition 2008, 109: 175–192.
53 Kemp, C, Tenenbaum, JB. Structured statistical models of inductive reasoning. Psychol Rev 2009, 116: 20–58.
54 Shafto, P, Coley, JD. Development of categorization and reasoning in the natural world: novices to experts, naive similarity to ecological knowledge. J Exp Psychol Learn Mem Cogn 2003, 29: 641–649.
55 Heit, E, Bott, L. %22Knowledge selection in category learning%22. In: Medin, D, ed. Psychology of Learning and Motivation
. Vol. 39. San Diego, CA: Academic Press
; 2000; 163–199.
56 Rogers, TT, McClelland, JL. Semantic Cognition: A Parallel Distributed Processing Approach
. Cambridge MIT Press
57 Anderson, JR. The adaptive nature of human categorization. Psychol Rev 1991, 98: 409–429.
58 Murphy, GL, Ross, BH. Prediction from uncertain categorization. Cogn Psychol 1994, 27: 148–193.
59 Murphy, GL, Ross, BH. The two faces of typicality in category‐based induction. Cognition 2005, 95: 175–200.
60 Malt, BC, Ross, BH, Murphy, GL. Predicting features of members of natural categories when categorization is uncertain. J Exp Psychol Learn Mem Cogn 1995, 21: 646–661.
61 Ross, BH, Murphy, GL. Category‐based predictions: influence of uncertainty and feature associations. J Exp Psychol Learn Mem Cogn 1996, 22: 736–753.
62 Hayes, BK, Newell, BR. Induction with uncertain categories: when do people consider the category alternatives? Mem Cognit 2009, 37: 730–743.
63 Hayes, BK, Chen, TJ. Clinical expertise and reasoning with uncertain categories. Psychon Bull Rev 2008, 15: 1002–1007.
64 Hayes, BK, Ruthven, C, Newell, BR. %22Inferring properties when categorization is uncertain: a feature‐conjunction account%22. In: McNamara, D, Tafton, G, eds. Proceedings of the 29th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum
; 2007; 309–214.
65 Papadopoulos, C, Hayes, BK, Newell, B. %22Induction with uncertain categories%22. In: Taatgen, N, van Rijn, H, eds. Proceedings of the 30th Meeting of the Cognitive Science Society
. Hillsdale, NJ: Erlbaum
; 2009; 83–88.
66 Medin, DL, Bazerman, MH. Broadening behavioral decision research: multiple levels of cognitive processing. Psychon Bull Rev 1999, 6: 533–546.
67 Murphy, GL, Ross, BH. Induction with cross‐classified categories. Mem Cognit 1999, 27: 1024–1041.
68 Heit, E. %22What is induction and why study it?%22 In: Feeney, A, Heit, E, eds. Inductive Reasoning
. Cambridge Cambridge University Press
; 2007; 1–24.
69 Skyrms, B. Choice and Chance: An Introduction to Inductive Logic
. 4th ed
. Belmont, CA Wadsworth
70 Johnson‐Laird, PN. Mental models and probabilistic thinking. Cognition 1994, 50: 189–209.
71 Evans, JSBT. Dual‐processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 2008, 59: 255–278.
72 Heit, E, Rotello, CM. %22Are there two kinds of reasoning?%22 In: Bara, B, Barsalou, L, Eucciarelli, M, eds. Proceedings of the Twenty‐Seventh Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum
73 Heit, E, Rotello, CM. %22Modeling two kinds of reasoning%22. In: Sloutsky, V, Love, B, McCrae, K, eds. Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society
. Austin, TX Cognitive Science Society
; 2008; 1831–1836.
74 Rotello, CM, Heit, E. Modeling the effects of argument length and validity on inductive and deductive reasoning. J Exp Psychol Learn Mem Cogn 2009, 35: 1317–1330.
75 Rips, LJ. Two kinds of reasoning. Psychol Sci 2001, 12: 129–134.
76 Henson, RN. What can functional imaging tell the experimental psychologist? Q J Exp Psychol A 2005, 58: 193–233.
77 Goel, V, Dolan, RJ. Differential involvement of left prefrontal cortex in inductive and deductive reasoning. Cognition 2004, 93: B109–B121.
78 Goel, V, Gold, B, Kapur, S, Houle, S. The seats of reason: a localization study of deductive and inductive reasoning using PET (O15) blood flow technique. Neuroreport 1997, 8: 1305–1310.
79 Osherson, D, Perani, D, Cappa, S, Schnur, T, Grassi, F, et al.
Distinct brain loci in deductive versus probabilistic reasoning. Neuropsychologia 1998, 36: 369–376.
80 Parsons, LM, Osherson, D. New evidence for distinct right and left brain systems for deductive versus probabilistic reasoning. Cereb Cortex 2001, 11: 954–965.
81 Poldrack, RA. Can cognitive processes be inferred from neuroimaging data? Trends Cogn Sci 2006, 10: 59–63.
82 Weber, M, Osherson, D. Similarity and induction. Eur Rev Philos Psychol. In press.
83 Heit, E, Hayes, B. %22Predicting reasoning from visual memory%22. In: Sloutsky, V, Love, B, McCrae, K, eds. Proceedings of the 29th Meeting of the Cognitive Science Society
. Hillsdale, NJ Erlbaum
; 2008; 83–88.