Information-processing models of cognitive development

The Wiley-Blackwell Handbook of Childhood Cognitive Development, Second edition

Volumn , Issue , 2010, Pages 697-722

  Halford, Graeme S ^a,b   Andrews, Glenda ^a  

^a GRIFFITH UNIVERSITY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Chapman's awareness of inherent difficulties in objective analyses of complexity; Cognitive Complexity orderly interpretation of findings in cognitive development, metric for cognitive complexity; Cognitive development Cognitive Complexity and Control (CCC) theory; Global processing speed factor increasing with development; Information processing models of cognitive development; Neo Piagetian models in parallel with considerable interaction between theorists; Pascual Leone, M space demands well known cognitive developmental tasks predicting ages at which these were attained; Speed, causing an increase in processing capacity or reverse; Symbolic neural net models computational models of cognitive development; Understanding data of cognitive development in gaining new insights

Indexed keywords

EID: 84886120565     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781444325485.ch27     Document Type: Chapter

References (141)

1. Anderson, M. (1992). Intelligence and development: A cognitive theory. Oxford: Blackwell.
2. Andrews, G., & Halford, G. S. (1998). Children's ability to make transitive inferences: The importance of premise integration and structural complexity. Cognitive Development, 13, 479 -513.
3. Andrews, G., & Halford, G. S. (2002). A cognitive complexity metric applied to cognitive development. Cognitive Psychology, 45, 153-219.
4. Andrews, G., Halford, G. S., Bunch, K. M., Bowden, D., & Jones, T. J. (2003). Theory of mind and relational complexity. Child Development, 74, 1435-1458.
5. Baddeley, A. D. (1990). Human memory: Theory and practice. Needham Heights, MA: Allyn & Bacon.
6. Baddeley, A. D., & Hitch, G. J. (2000). Development of working memory: Should the Pascual-Leone and the Baddeley and Hitch models be merged? Journal of Experimental Child Psychology,77, 128-137.
7. Bell, M. A. (2001). Brain electrical activity associated with cognitive processing during a looking version of the A-not-B task. Infancy, 2, 311-330.
8. Bell, M. A., & Fox, N. A. (1992). The relations between frontal brain electrical activity and cognitive development during infancy. Child Development, 63, 1142-1163.
9. Bunch, K., Andrews G., & Halford, G. S. (2007). Complexity effects on the children's gambling task. Cognitive Development, 22, 376-383.
10. Bunge, S. A., & Zelazo, P. D. (2006). A brain-based account of the development of rule use in childhood. Current Directions in Psychological Science, 15, 118-121.
11. Breslow, L. (1981). Reevaluation of the literature on the development of transitive inferences. Psychological Bulletin, 89, 325-351.
12. Briars, D., & Siegler, R. S. (1984). A featural analysis of preschoolers' counting knowledge. Developmental Psychology, 20, 607-618.
13. Bryant, P. E., & Trabasso, T. (1971). Transitive inferences and memory in young children. Nature, 232, 456-458.
14. Campbell, R. L., & Bickhard, M. H. (1986). Knowing levels and developmental stages. Basel: Karger.
15. Case, R. (1985). Intellectual development: Birth to adulthood. New York: Academic Press.
16. Case, R. (1992a). The mind's staircase: Exploring the conceptual underpinnings of children's thought and knowledge. Hillsdale, NJ: Erlbaum.
17. Case, R. (1992b). The role of the frontal lobes in the regulation of cognitive development. Brain and Cognition, 20, 51-73.
18. Case, R., Kurland, M., & Goldberg, J. (1982). Operational effi ciency and the growth of short-term memory span. Journal of Experimental Child Psychology, 33, 386-404.
19. Case, R., Okamoto, Y., Griffin, S., McKeough, A., Bleiker, C., Henderson, B., & Stephenson, K. M. (1996). The role of central conceptual structures in the development of children's thought. Monographs of the Society for Research in Child Development, 61 (1-2, Serial No. 246).
20. Cerella, J., & Hale, S. (1994). The rise and fall in information-processing rates over the life span. Acta Psychologica, 86, 109-197.
21. Chapman, M. (1987). Piaget, attentional capacity, and the functional limitations of formal structure. Advances in Child Development and Behaviour, 20, 289-334.
22. Chapman, M. (1990). Cognitive development and the growth of capacity: Issues in NeoPiagetian theory. In J. T. Enns (Ed.), The development of attention: Research and theory (pp. 263-287). Amsterdam: Elsevier.
23. Chapman, M., & Lindenberger, U. (1989). Concrete operations and attentional capacity. Journal of Experimental Child Psychology, 47, 236-258.
24. Chi, M. T. H. (1978). Knowledge structures and memory development. In R. S. Siegler (Ed.), Children's thinking: What develops? (pp. 73-96). Hillsdale, NJ: Erlbaum.
25. Christoff, K., & Owen, A. M. (2006). Improving reverse neuroimaging inference: Cognitive domain versus cognitive complexity. Trends in Cognitive Sciences, 10, 352- 353.
26. Christoff, K., Prabhakaran, V., Dorfman, J., Zhao, Z., Kroger, J., Holyoak, K. J., & Gabrieli, J. D. E. (2001). Rostrolateral prefrontal cortex involvement in relational integration during reasoning. NeuroImage, 14, 1136-1149.
27. Chugani, H. T., & Phelps, M. E. (1986). Maturational changes in cerebral function in infants determined by FDG positron emission tomography. Science, 231, 840-843.
28. Clark, A., & Karmiloff-Smith, A. (1993). The cognizer's innards: A psychological and philosophical perspective on the development of thought. Mind and Language, 8, 487-519.
29. Cowan, N. (1998). What is more explanatory, processing capacity or processing speed? Behavioral and Brain Sciences, 21, 835-836.
30. Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24 (1), 87-114.
31. Crone, E. A., Wendelken, C., van Leijenhorst, L., Honomichl, R. D., Christoff, K., & Bunge, S. A. (2009). Neurocognitive development of relational reasoning. Developmental Science, 12, 55-66.
32. Davis, H. L., & Pratt, C. (1995). The development of children ' s theory of mind: The working memory explanation. Australian Journal of Psychology, 47, 25-31.
33. Demetriou, A., Doise, W., & van Lieshout, C. (Eds.) (1998). Life-span developmental psychology. Chichester: Wiley.
34. Demetriou, A., Efklides, A., & Platsidou, M. (1993). The architecture and dynamics of developing mind: Experiential structuralism as a frame for unifying cognitive developmental theories. Monographs of the Society for Research in Child Development, 58 (5, Serial No. 234).
35. De Ribaupierre, A., & Bailleux, C. (1994). Developmental change in a spatial task of attentional capacity: An essay toward an integration of two working memory models. International Journal of Behavioral Development, 17, 5-35.
36. De Ribaupierre, A., & Bailleux, C. (2000). The development of working memory: Further note on the comparability of two models of working memory. Journal of Experimental Child Psychology, 77, 110-127.
37. Diamond, A. (1990). The development of neural bases of memory function as indexed by the AB and delayed response tasks in human infants and rhesus monkeys. In A. Diamond (Ed.), The development of neural bases of higher cortical function (pp. 267-317). New York: New York Academy of Science Press.
38. Diamond, A., Zola-Morgan, S., & Squire, L. R. (1989). Successful performance by monkeys with lesions of the hippocampal formation on AB and object retrieval, two tasks that mark developmental changes in human infants. Behavioral Neuroscience, 103, 526-537.
39. Doumas, L. A., Hummel, J. E., & Sandhofer, C. A. (2008). A theory of the discovery and predication of relational concepts. Psychological Review, 115, 1-43.
40. Dunbar, K. (2001). The analogical paradox: Why analogy is so easy in naturalistic settings, yet so difficult in the psychological laboratory. In D. Gentner, K. J. Holyoak, & B. K. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science. Cambridge, MA: MIT Press.
41. Elman, J. L., Bates, E. A., Johnson, M. H., Karmiloff-Smith, A., Parisi, D., & Plunkett, K. (1996). Rethinking innateness: A connectionist perspective on development. London: MIT Press.
42. Falkenhainer, B., Forbus, K. D., & Gentner, D. (1989). The structure-mapping engine: Algorithm and examples. Artificial Intelligence, 41, 1-63.
43. Feldman, J. (2000). Minimization of Boolean complexity in human concept learning. Nature, 407 (6804), 630-632.
44. Fischer, K. W. (1980). A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review, 87, 477-531.
45. Fischer, K. W., & Bidell, T. R. (1998). Dynamic development of psychological structures in action and thought. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Vol. 1. Theoretical models of human development (5th ed., pp. 467-561). New York: Wiley.
46. Fischer, K. W., & Bidell, T. R. (2006). Dynamic development of action and thought. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Vol. 1. Theoretical models of human development (6th ed., pp. 313-399). New York: Wiley.
47. Fischer, K. W., & Rose, S. P. (1996). Dynamic growth cycles of brain and cognitive development. In R. W. Thatcher, G. R. Lyon, J. Rumsey, & N. Kresnegor (Eds.), Developmental neuroimaging: Mapping the development of brain and behavior (pp. 263 -283). San Diego: Academic Press.
48. Fischer, K. W., Stewart, J., & Stein, Z. (2008). Process and skill: Analysing dynamic structure of growth. In F. Riffert & H-J. Sander (Eds.), Researching with Whitehead: System and adventure (pp. 327-367). Munich: Verlag Karl Alber.
49. Fodor, J. A. (1983). Modularity of mind: An essay on faculty psychology. Cambridge, MA: MIT Press.
50. Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. Cognition, 28, 3-71.
51. Frye, D., Zelazo, P. D., & Palfai, T. (1995). Theory of mind and rule-based reasoning. Cognitive Development, 10, 483-527.
52. Gelman, R. (1982). Accessing one-to-one correspondence: Still another paper about conservation. British Journal of Psychology, 73, 209-220.
53. Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7, 155-170.
54. Gentner, D., & Ratterman, M. J. (1991). Language and the career of similarity. In S. A. Gelman & J. P. Byrnes (Eds.), Perspectives on language and thought: Interrelations in development. Cambridge: Cambridge University Press.
55. Gentner, D., Rattermann, M. J., Markman, A., & Kotovsky, L. (1995). Two forces in the development of relational similarity. In T. Simon & G. S. Halford (Eds.), Developing cognitive competence: New approaches to process modeling (pp. 263-313). Hillsdale, NJ: Erlbaum.
56. Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. Cognitive Psychology, 15, 1-38.
57. Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, P., Vaituzis, A. C.,... Thompson, P. M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America, 101, 8174-8179.
58. Gordon, A. C. L., & Olson, D. R. (1998). The relation between acquisition of a theory of mind and the capacity to hold in mind. Journal of Experimental Child Psychology, 68, 70-83.
59. Goswami, U. (1996). Analogical reasoning and cognitive development. In H. Reese (Ed.), Advances in child development and behavior (Vol. 26, pp. 91-138). San Diego: Academic Press.
60. Goswami, U., & Brown, A. L. (1989). Melting chocolate and melting snowmen: Analogical reasoning and causal relations. Cognition, 35, 69-95.
61. Halford, G. S. (1993). Children's understanding: The development of mental models. Hillsdale, NJ: Erlbaum.
62. Halford, G. S., & Andrews, G. (2004). The development of deductive reasoning: How important is complexity? Thinking and Reasoning, 10, 123-145.
63. Halford, G. S., & Andrews, G. (2007). Domain general processes in higher cognition: Analogical reasoning, schema induction and capacity limitations. In M. J. Roberts (Ed.), Integrating the mind. (pp. 302-331). Hove, UK: Psychology Press.
64. Halford, G. S., Andrews, G., Dalton, C., Boag, C., & Zielinski, T. (2002). Young children's performance on the balance scale: The influence of relational complexity. Journal of Experimental Child Psychology, 81, 417-445.
65. Halford, G. S., Andrews, G., & Jensen, I. (2002). Integration of category induction and hierarchical classification: One paradigm at two levels of complexity. Journal of Cognition and Development, 3 (2), 143-177.
66. Halford, G. S., Baker R., McCredden, J. E., & Bain, J. D. (2005). How many variables can humans process? Psychological Science, 16 (1), 70-76.
67. Halford, G. S., Bunch, K., & McCredden, J. E. (2007). Problem decomposability as a factor in complexity of the Dimensional Change Card Sort Task. Cognitive Development, 22, 384-391.
68. Halford, G. S., Cowan, N., & Andrews, G. (2007). Separating cognitive capacity from knowledge: A new hypothesis. Trends in Cognitive Sciences, 11, 237-242.
69. Halford, G. S., Maybery, M. T., O'Hare, A. W., & Grant, P. (1994). The development of memory and processing capacity. Child Development, 65, 1338-1356.
70. Halford, G. S., Wilson, W. H., Guo, J., Gayler, R. W., Wiles, J., & Stewart, J. E. M. (1994). Connectionist implications for processing capacity limitations in analogies. In K. J. Holyoak & J. Barnden (Eds.), Advances in connectionist and neural computation theory: Vol. 2. Analogical connections (pp. 363-415). Norwood, NJ: Ablex.
71. Halford, G. S., Wilson, W. H., & Phillips, S. (1998a). Authors' response: Relational complexity metric is effective when assessments are based on actual cognitive processes. Behavioral and Brain Sciences, 21, 848-864.
72. Halford, G. S., Wilson, W. H., & Phillips, S. (1998b). Processing capacity defi ned by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences, 21, 803-831.
73. Hodkin, B. (1987). Performance model analysis in class inclusion: An illustration with two language conditions. Developmental Psychology, 23, 683-689.
74. Holyoak, K. J., & Thagard, P. (1989). Analogical mapping by constraint satisfaction. Cognitive Science, 13, 295-355.
75. Hummel, J. E., & Holyoak, K. J. (1997). Distributed representations of structure: A theory of analogical access and mapping. Psychological Review, 104, 427-466.
76. Huttenlocher, P. R., & Dabholkar, A. S. (1997). Regional differences in synaptogenesis in human cerebral cortex. The Journal of Comparative Neurology, 387, 167-178.
77. Im-Bolter, N., Johnson, J., & Pascual-Leone, J. (2006). Processing limitations in children with specific language impairment: The role of executive function. Child Development, 77, 1822-1841.
78. Johnson, J., Im-Bolter, N., & Pascual-Leone, J. (2003). Development of mental attention in gifted and mainstream children: The role of mental capacity, inhibition, and speed of processing. Child Development, 74, 1594-1614.
79. Kail, R. (1986). Sources of age differences in speed of processing. Child Development, 57, 969-987.
80. Kail, R. (1988a). Developmental functions for speeds of cognitive processes. Journal of Experimental Child Psychology, 45, 339-364.
81. Kail, R. (1988b). Reply to Sigler, Nusbaum, and Chalip. Child Development, 59, 1154-1157.
82. Kail, R. (1990). More evidence for a common, central constraint on speed of processing. Amsterdam: North Holland.
83. Kail, R. (1991). Controlled and automatic processing during mental rotation. Journal of Experimental Child Psychology, 51, 337-347.
84. Kail, R. (1997). Phonological skill and articulation time independently contribute to the development of memory span. Journal of Experimental Child Psychology, 67, 57-68.
85. Kail, R. (1998). Speed of information processing in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 20, 98-106.
86. Kail, R. (2000). Speed of information processing: Developmental change and links to intelligence. Journal of School Psychology, 38, 51-61.
87. Kail, R., & Hall, L. K. (1999). Sources of developmental change in children ' s word-problem performance. Journal of Educational Psychology, 91, 660-668.
88. Kail, R., & Park, Y. (1992). Global developmental change in processing time. Merrill-Palmer Quarterly, 38, 525-541.
89. Kail, R., & Salthouse, T. A. (1994). Processing speed as a mental capacity. Acta Psychologica, 86, 199-225.
90. Karmiloff-Smith, A. (1992). Beyond modularity: A developmental perspective on cognitive science. Cambridge, MA: MIT Press.
91. Karmiloff-Smith, A. (1994). Précis of "Beyond modularity: A developmental perspective on cognitive science." Behavioral and Brain Sciences, 17, 693-745.
92. Keenan, T., Olson, D. R., & Marini, Z. (1998). Working memory and children ' s developing understanding of mind. Australian Journal of Psychology, 50, 76-82.
93. Kemps, E., De Rammelaere, S., & Desmet, T. (2000). The development of working memory: Exploring the complementarity of two models. Journal of Experimental Child Psychology, 77, 89-109.
94. Kerr, A., & Zelazo, P. D. (2004). Development of "hot" executive function: The children ' s gambling task. Brain and Cognition, 55, 148-157.
95. Klahr, D., & Wallace, J. G. (1976). Cognitive development: An information processing view. Hillsdale, NJ: Erlbaum.
96. Kroger, J. K., Sabb, F. W., Fales, C. L., Bookheimer, S. Y., Cohen, M. S., & Holyoak, K. J. (2002). Recruitment of anterior dorsolateral prefrontal cortex in human reasoning: A parametric study of relational complexity. Cerebral Cortex, 12, 477-485.
97. Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390 (6657), 279-281.
98. Marcus, G. F. (1998a). Can connectionism save constructivism? Cognition, 66, 153-182.
99. Marcus, G. F. (1998b). Rethinking eliminative connectionism. Cognitive Psychology, 37, 243-282.
100. Markovits, H., Dumas, C., & Malfait, N. (1995). Understanding transitivity of a spatial relationship: A developmental analysis. Journal of Experimental Child Psychology, 59, 124-141.
101. McClelland, J. L. (1995). A connectionist perspective on knowledge and development. In T. Simon & G. S. Halford (Eds.), Developing cognitive competence: New approaches to cognitive modeling (pp. 157-204). Hillsdale, NJ: Erlbaum.
102. McGarrigle, J., Grieve, R., & Hughes, M. (1978). Interpreting inclusion: A contribution to the study of the child ' s cognitive and linguistic development. Journal of Experimental Child Psychology, 26, 528-550.
103. McLaughlin, G. H. (1963). Psychologic: A possible alternative to Piaget ' s formulation. British Journal of Educational Psychology, 33, 61-67.
104. Nelson, C. A., III, Thomas, K. M., & de Haan, M. (2006). Neural bases of cognitive development. In D. Kuhn & R. Siegler (Eds.), Handbook of child psychology: Vol. 2. Cognition, perception, and language (6th ed., pp. 3-57). Hoboken, NJ: Wiley.
105. Nettelbeck, T. (1987). Inspection time and intelligence. Norwood, NJ: Ablex.
106. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
107. Overman, W. H., Bachevalier, J., Schuhmann, E., & Ryan, P. (1996). Cognitive gender differences in very young children parallel biologically based cognitive gender differences in monkeys. Behavioural Neuroscience, 110, 673-684.
108. Pascual-Leone, J. A. (1970). A mathematical model for the transition rule in Piaget ' s developmental stages. Acta Psychologica, 32, 301-345.
109. Pascual-Leone, J. A. (2000). Reflections on working memory: Are the two models complementary? Journal of Experimental Child Psychology, 77, 138-154.
110. Pascual-Leone, J. A., & Smith, J. (1969). The encoding and decoding of symbols by children: A new experimental paradigm and a neo-Piagetian model. Journal of Experimental Child Psychology, 8, 328-355.
111. Paterson, S. J., Heim, S., Friedman, J. T., Choudhury, N., & Benasich, A. A. (2006). Development of structure and function in the infant brain: Implications for cognition, language and social behaviour. Neuroscience and Biobehavioral Reviews, 30, 1087-1105.
112. Pears, R., & Bryant, P. (1990). Transitive inferences by young children about spatial position. British Journal of Psychology, 81, 497-510.
113. Phillips, S., Halford, G. S., & Wilson, W. H. (1995). The processing of associations versus the processing of relations and symbols: A systematic comparison. Paper presented at the Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, Pittsburgh, PA.
114. Piaget, J. (1950). The psychology of intelligence, trans. M. Piercy & D. E. Berlyne. London: Routledge & Kegan Paul. Originally published 1947.
115. Quartz, S. R., & Sejnowski, T. J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20, 537-596.
116. Ramnani, N., & Owen, A. M. (2004). Anterior prefrontal cortex: Insights into function from anatomy and neuroimaging. Nature Reviews Neuroscience, 5, 184-194.
117. Ridderinkhof, K. R., & van der Molen, M. W. (1997). Mental resources, processing speed, and inhibitory control: A developmental perspective. Biological Psychology, 45, 241-261.
118. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403-428.
119. Shastri, L., & Ajjanagadde, V. (1993). From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic bindings using temporal synchrony. Behavioral and Brain Sciences, 16, 417-494.
120. Shepard, R. N., Hovland, C. I., & Jenkins, H. M. (1961). Learning and memorization of classifications. Psychological Monographs, 75 (13) (Whole No. 517), 42.
121. Siegel, L. S., McCabe, A. E., Brand, J., & Matthews, J. (1978). Evidence for the understanding of class inclusion in preschool children: Linguistic factors and training effects. Child Development, 49, 688-693.
122. Siegler, R. S. (1981). Developmental sequences within and between concepts. Monographs of the Society for Research in Child Development, 46, 1-84.
123. Siegler, R. S. (1999). Strategic development. Trends in Cognitive Science, 3 (11), 430-435.
124. Siegler, R. S., & Chen, Z. (1998). Developmental differences in rule learning: A microgenetic analysis. Cognitive Psychology, 36 (3), 273-310.
125. Siegler, R. S., & Jenkins, E. A. (1989). How children discover new strategies. Hillsdale, NJ: Erlbaum.
126. Siegler, R. S., & Shipley, C. (1995). Variation, selection, and cognitive change. In T. Simon & G. S. Halford (Eds.), Developing cognitive competence: New approaches to process modeling (pp. 31-76). Hillsdale, NJ: Erlbaum.
127. Siegler, R. S., & Shrager, J. (1984). Strategy choices in addition and subtraction: How do children know what to do? Hillsdale, NJ: Erlbaum.
128. Simon, T., & Klahr, D. (1995). A computational theory of children's learning about number conservation. In T. Simon & G. S. Halford (Eds.), Developing cognitive competence: New approaches to process modeling (pp. 315-353). Hillsdale, NJ: Erlbaum.
129. Smith, L. B., Gasser, M., & Sandhofer, C. M. (1997) Learning to talk about the properties of objects: A network model of the development of dimensions. In R. L. Goldstone, P. G. Schyns, & D. L. Medin (Eds.), Perceptual learning: The psychology of learning and motivation (Vol. 36, pp. 219-255). San Diego: Academic Press.
130. Smith, R., Keramatian, K., & Christoff, K. (2007). Localising the rostrolateral prefrontal cortex at the individual level. NeuroImage, 36, 1387-1396.
131. Smolensky, P. (1988). On the proper treatment of connectionism. Behavioral and Brain Sciences, 11, 1-74.
132. Stigler, J. W., Nusbaum, H. C., & Chalip, L. (1988). Developmental changes in speed of processing: Central limiting mechanism of skill transfer? Child Development, 59, 1144-1153.
133. Thatcher, R. W. (1994). Cyclic cortical reorganization: Origins of human cognitive development. In G. Dawson & K. W. Fischer (Eds.), Human Behavior and the Developing Brain (pp. 232-266). New York: Guilford Press.
134. Thayer, E. S., & Collyer, C. E. (1978). The development of transitive inference: A review of recent approaches. Psychological Bulletin, 85, 1327-1343.
135. Thelen, E., & Smith, L. B. (2006). Dynamic systems theories. In W. Damon & R. M. Lerner (Ed.), Handbook of child psychology: Vol. 1. Theoretical models of human development (6th ed.). Hoboken, NJ: Wiley.
136. Van der Maas, H. L. J., & Molenaar, P. C. M. (1992). Stagewise cognitive development: An application of catastrophe theory. Psychological Review, 99, 395-417.
137. Van Geert, P. (1993). A dynamic systems model of cognitive growth: Competition and support under limited resource conditions. In L. Smith & E. Thelen (Eds.), A dynamic systems approach to development: Applications (pp. 265-331). Cambridge, MA: MIT Press.
138. Waltz, J. A., Knowlton, B. J., Holyoak, K. J., Boone, K. B., Mishkin, F. S., de Menezes Santos, M., Thomas, C. R., & Miller, B. L. (1999). A system for relational reasoning in human prefrontal cortex. Psychological Science, 10, 119-125.
139. Zelazo, P. D. (2006). The Dimensional Change Card Sort (DCCS): A method of assessing executive function in children. Nature Protocols, 1, 297-301.
140. Zelazo, P. D., Jacques, S., Burack, J. A., & Frye, D. (2002). The relation between theory of mind and rule use: Evidence from persons with autism-spectrum disorders. Infant and Child Development, 11, 171-195.
141. Zelazo, P. D., Müller, U., Frye, D., & Marcovitch, S. (2003). The development of executive function. Monographs of the Society for Research in Child Development, 68 (3), 1-155.