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Volumn 4, Issue 2, 2007, Pages 245-279

Could knowledge-based neural learning be useful in developmental robotics? The case of KBCC

Author keywords

Developmental robotics; Knowledge transfer; Knowledge based learning; Neural networks

Indexed keywords

ANALOGICAL REASONING; DEVELOPMENTAL ROBOTICS; KNOWLEDGE TRANSFER; KNOWLEDGE-BASED CASCADE-CORRELATION (KBCC);

EID: 34447319909     PISSN: 02198436     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219843607001035     Document Type: Article
Times cited : (20)

References (95)
  • 2
    • 34447300905 scopus 로고    scopus 로고
    • Knowledge transfer in learning to recognize visual object classes
    • Department of Psychological and Brain Sciences, Bloomington, Indiana, USA
    • F.-F. Li, Knowledge transfer in learning to recognize visual object classes, in Proc. 5th Int. Conf. Development and Learning ICDL 2006 Department of Psychological and Brain Sciences, Bloomington, Indiana, USA (2006).
    • (2006) Proc. 5th Int. Conf. Development and Learning ICDL 2006
    • Li, F.-F.1
  • 3
    • 33644576426 scopus 로고    scopus 로고
    • Developmental robotics: Theory and experiments
    • J. Weng, Developmental robotics: Theory and experiments, Int. J. Humanoid Robot. 1 (2004) 199-236.
    • (2004) Int. J. Humanoid Robot , vol.1 , pp. 199-236
    • Weng, J.1
  • 4
    • 0035536720 scopus 로고    scopus 로고
    • Knowledge-based cascade-correlation: Using knowledge to speed learning
    • T. R. Shultz and F. Rivest, Knowledge-based cascade-correlation: Using knowledge to speed learning, Connect. Sci. 13 (2001) 1-30.
    • (2001) Connect. Sci , vol.13 , pp. 1-30
    • Shultz, T.R.1    Rivest, F.2
  • 5
    • 33746263998 scopus 로고    scopus 로고
    • Probabilistic models of cognition: Conceptual foundations
    • N. Chater, J. B. Tenenbaum and A. Yuille, Probabilistic models of cognition: Conceptual foundations, Trends Cogn. Sci. 1 (2006) 287-291.
    • (2006) Trends Cogn. Sci , vol.1 , pp. 287-291
    • Chater, N.1    Tenenbaum, J.B.2    Yuille, A.3
  • 8
    • 0030501992 scopus 로고    scopus 로고
    • Transfer in cognition
    • A. Robins, Transfer in cognition, Connect. Sci. 8 (1996) 185-203.
    • (1996) Connect. Sci , vol.8 , pp. 185-203
    • Robins, A.1
  • 9
    • 0022127497 scopus 로고
    • Knowledge-based classification of ill-defined categories
    • G. Nakamura, Knowledge-based classification of ill-defined categories, Mem. Cogn. 13 (1985) 377-384.
    • (1985) Mem. Cogn , vol.13 , pp. 377-384
    • Nakamura, G.1
  • 10
    • 0028541936 scopus 로고
    • Models of the effects of prior knowledge on category learning
    • E. Heit, Models of the effects of prior knowledge on category learning, J. Exp. Psychol. Learn. Mem. Cogn. 20 (1994) 1264-1282.
    • (1994) J. Exp. Psychol. Learn. Mem. Cogn , vol.20 , pp. 1264-1282
    • Heit, E.1
  • 12
    • 77957053204 scopus 로고
    • A rational theory of concepts
    • G. L. Murphy, A rational theory of concepts, Psychol. Learn. Motiv. 29 (1993) 327-359.
    • (1993) Psychol. Learn. Motiv , vol.29 , pp. 327-359
    • Murphy, G.L.1
  • 13
    • 35748933057 scopus 로고
    • Influence of prior knowledge on concept acquisition: Experimental and computational results
    • M. J. Pazzani, Influence of prior knowledge on concept acquisition: Experimental and computational results, J. Exp. Psychol. Learn. Mem. Cogn. 17 (1991) 416-432.
    • (1991) J. Exp. Psychol. Learn. Mem. Cogn , vol.17 , pp. 416-432
    • Pazzani, M.J.1
  • 14
    • 0029263319 scopus 로고
    • Prior knowledge and functionally relevant features in concept learning
    • E. J. Wisniewski, Prior knowledge and functionally relevant features in concept learning, J. Exp. Psychol. Learn. Mem. Cogn. 21 (1995) 449-468.
    • (1995) J. Exp. Psychol. Learn. Mem. Cogn , vol.21 , pp. 449-468
    • Wisniewski, E.J.1
  • 15
    • 34447324319 scopus 로고    scopus 로고
    • S. E. Fahlman and C. Lebiere, The cascade-correlation learning architecture, in Advances in Neural Information Processing systems 2 ed. D. S. Touretzky (Morgan Kaufmann, Los Altos, CA, 1990), pp. 524-532.
    • S. E. Fahlman and C. Lebiere, The cascade-correlation learning architecture, in Advances in Neural Information Processing systems 2 ed. D. S. Touretzky (Morgan Kaufmann, Los Altos, CA, 1990), pp. 524-532.
  • 16
    • 0005890879 scopus 로고
    • Discriminality-based transfer between neural networks
    • Morgan Kaufmann, San Mateo, CA
    • L. Y. Pratt, Discriminality-based transfer between neural networks, in Advances in Neural Information Processing Systems 5 (Morgan Kaufmann, San Mateo, CA, 1993), pp. 204-211.
    • (1993) Advances in Neural Information Processing Systems 5 , pp. 204-211
    • Pratt, L.Y.1
  • 17
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana, Multitask learning, Mach. Learn. 28 (1997) 41-75.
    • (1997) Mach. Learn , vol.28 , pp. 41-75
    • Caruana, R.1
  • 18
    • 0007651192 scopus 로고
    • Integrating inductive neural network learning and explanation-based learning
    • ed. R. Bajcsy Morgan Kaufmann, San Mateo, CA, USA
    • S. Thrun and T. Mitchell, Integrating inductive neural network learning and explanation-based learning, in Proc. 13th Int. Joint Conf. Artificial Intelligence, ed. R. Bajcsy (Morgan Kaufmann, San Mateo, CA, USA, 1993).
    • (1993) Proc. 13th Int. Joint Conf. Artificial Intelligence
    • Thrun, S.1    Mitchell, T.2
  • 19
    • 0030491431 scopus 로고    scopus 로고
    • The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness
    • D. Silver and R. Mercer, The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness, Connect. Sci. 8 (1996) 277-294.
    • (1996) Connect. Sci , vol.8 , pp. 277-294
    • Silver, D.1    Mercer, R.2
  • 20
    • 0028384347 scopus 로고
    • A framework for combining symbolic and neural learning
    • J. W. Shavlik, A framework for combining symbolic and neural learning, Mach. Learn. 14 (1994) 321-331.
    • (1994) Mach. Learn , vol.14 , pp. 321-331
    • Shavlik, J.W.1
  • 21
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M. I. Jordan and R. A. Jacobs, Hierarchical mixtures of experts and the EM algorithm, Neural. Comput. 6 (1994) 181-214.
    • (1994) Neural. Comput , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 22
    • 0030854548 scopus 로고    scopus 로고
    • Trading spaces: Computation, representation and the limits of uninformed learning
    • A. Clark and C. Thornton, Trading spaces: Computation, representation and the limits of uninformed learning, Behav. Brain Sci. 20 (1997) 57-97.
    • (1997) Behav. Brain Sci , vol.20 , pp. 57-97
    • Clark, A.1    Thornton, C.2
  • 23
    • 0003000735 scopus 로고
    • Faster-learning variations on back-propagation: An empirical study
    • eds. D. S. Touretzky, G. E. Hinton and T. J. Sejnowski Morgan Kaufmann, Los Altos, CA
    • S. E. Fahlman, Faster-learning variations on back-propagation: An empirical study, in Proc. 1988 Connectionist Models Summer School eds. D. S. Touretzky, G. E. Hinton and T. J. Sejnowski (Morgan Kaufmann, Los Altos, CA, 1988), pp. 38-51.
    • (1988) Proc. 1988 Connectionist Models Summer School , pp. 38-51
    • Fahlman, S.E.1
  • 24
    • 0023968207 scopus 로고
    • Connectionism and cognitive architecture: A critical analysis
    • J. A. Fodor and Z. W. Pylyshyn, Connectionism and cognitive architecture: A critical analysis, Cognition 28 (1988) 3-71.
    • (1988) Cognition , vol.28 , pp. 3-71
    • Fodor, J.A.1    Pylyshyn, Z.W.2
  • 26
    • 32844469226 scopus 로고    scopus 로고
    • Compositionality in a knowledge-based constructive learner
    • Menlo Park, CA, USA AAAI Press
    • F. Rivest and T. R. Shultz, Compositionality in a knowledge-based constructive learner, in Papers from the 2004 AAAI Fall Symp., Menlo Park, CA, USA (AAAI Press, 2004), pp. 54-58.
    • (2004) Papers from the 2004 AAAI Fall Symp , pp. 54-58
    • Rivest, F.1    Shultz, T.R.2
  • 27
    • 0036076589 scopus 로고    scopus 로고
    • Application of knowledge-based cascade-correlation to vowel recognition
    • Hawaii IEEE Press
    • P. Rivest and T. R. Shultz, Application of knowledge-based cascade-correlation to vowel recognition, IEEE Int. Conf. Neural Networks, Hawaii (IEEE Press, 2002) pp. 53-58.
    • (2002) IEEE Int. Conf. Neural Networks , pp. 53-58
    • Rivest, P.1    Shultz, T.R.2
  • 28
    • 0036079709 scopus 로고    scopus 로고
    • Finding relevant knowledge: KBCC applied to splice-junction determination
    • Hawaii IEEE Press
    • J. P. Thivierge and T. R. Shultz, Finding relevant knowledge: KBCC applied to splice-junction determination, IEEE Int. Conf. Neural Networks, Hawaii (IEEE Press, 2002) 1401-1405.
    • (2002) IEEE Int. Conf. Neural Networks , pp. 1401-1405
    • Thivierge, J.P.1    Shultz, T.R.2
  • 29
    • 0027678679 scopus 로고
    • Extracting refined rules from knowledge-based neural networks
    • G. G. Towell and J. W. Shavlik, Extracting refined rules from knowledge-based neural networks, Mach. Learn. 13 (1993) 71-101.
    • (1993) Mach. Learn , vol.13 , pp. 71-101
    • Towell, G.G.1    Shavlik, J.W.2
  • 30
  • 32
    • 34447315492 scopus 로고    scopus 로고
    • A compositional neural-network solution to prime-number testing
    • Vancouver, Canada Erlbaum, Mahwah, NJ
    • L. Egri and T. R. Shultz, A compositional neural-network solution to prime-number testing, in Proc. 28th Ann. Conf. Cognitive Science Society, Vancouver, Canada (Erlbaum, Mahwah, NJ, 2006), pp. 1263-1268.
    • (2006) Proc. 28th Ann. Conf. Cognitive Science Society , pp. 1263-1268
    • Egri, L.1    Shultz, T.R.2
  • 33
    • 0345495841 scopus 로고
    • Reducing network depth in the cascade-correlation learning architecture, School of Computer Science, Carnegie Mellon University
    • Technical Report, CMU-CS-94-209
    • S. Baluja and S. E. Fahlman, Reducing network depth in the cascade-correlation learning architecture, School of Computer Science, Carnegie Mellon University, Technical Report, CMU-CS-94-209 (1994).
    • (1994)
    • Baluja, S.1    Fahlman, S.E.2
  • 34
    • 0025519291 scopus 로고
    • Recursive distributed representations
    • J. Pollack, Recursive distributed representations, Artif. Intell. 46 (1990) 77-105.
    • (1990) Artif. Intell , vol.46 , pp. 77-105
    • Pollack, J.1
  • 35
    • 34248855249 scopus 로고
    • Compositionality: A connectionist variation on a classical theme
    • T. van Gelder, Compositionality: A connectionist variation on a classical theme, Cogn. Sci. 14 (1990) 355-364.
    • (1990) Cogn. Sci , vol.14 , pp. 355-364
    • van Gelder, T.1
  • 36
    • 0001303441 scopus 로고
    • Three aspects of cognitive development
    • R. S. Siegler, Three aspects of cognitive development, Cogn. Psychol. 8 (1976) 481-520.
    • (1976) Cogn. Psychol , vol.8 , pp. 481-520
    • Siegler, R.S.1
  • 37
    • 0028463710 scopus 로고
    • Modeling cognitive development on balance scale phenomena
    • T. R. Shultz, D. Mareschal and W. C. Schmidt, Modeling cognitive development on balance scale phenomena, Mach. Learn. 16 (1994) 57-86.
    • (1994) Mach. Learn , vol.16 , pp. 57-86
    • Shultz, T.R.1    Mareschal, D.2    Schmidt, W.C.3
  • 38
    • 0036482614 scopus 로고    scopus 로고
    • On the complexity of computing and learning with multiplicative neural networks
    • M. Schmitt, On the complexity of computing and learning with multiplicative neural networks, Neural Comput. 14 (2001) 241-301.
    • (2001) Neural Comput , vol.14 , pp. 241-301
    • Schmitt, M.1
  • 39
    • 0038165410 scopus 로고    scopus 로고
    • Rules in the balance: Classes, strategies, or rules for the balance scale task
    • J. Boom, H. Hoijtink and S. Kunnen, Rules in the balance: Classes, strategies, or rules for the balance scale task, Cog. Dev. 16 (2001) 717-735.
    • (2001) Cog. Dev , vol.16 , pp. 717-735
    • Boom, J.1    Hoijtink, H.2    Kunnen, S.3
  • 40
    • 0031529437 scopus 로고    scopus 로고
    • Statistical test of the rule assessment methodology by latent class analysis
    • B. R. J. Jansen and H. L. J. van der Maas, Statistical test of the rule assessment methodology by latent class analysis, Deve. Rev. 17 (1997) 321-357.
    • (1997) Deve. Rev , vol.17 , pp. 321-357
    • Jansen, B.R.J.1    van der Maas, H.L.J.2
  • 41
    • 0036547962 scopus 로고    scopus 로고
    • The development of children's rule use on the balance scale task
    • B. R. J. Jansen and H. L. J. van der Maas, The development of children's rule use on the balance scale task, J. Exp. Child Psychol. 81 (2002) 383-416.
    • (2002) J. Exp. Child Psychol , vol.81 , pp. 383-416
    • Jansen, B.R.J.1    van der Maas, H.L.J.2
  • 44
    • 0028414286 scopus 로고
    • Initial knowledge: Six suggestions
    • E. S. Spelke, Initial knowledge: Six suggestions, Cognition 50 (1994) 431-445.
    • (1994) Cognition , vol.50 , pp. 431-445
    • Spelke, E.S.1
  • 45
    • 0026733446 scopus 로고
    • Addition and subtraction by human infants
    • K. Wynn, Addition and subtraction by human infants, Nature 358 (1992) 749-750.
    • (1992) Nature , vol.358 , pp. 749-750
    • Wynn, K.1
  • 46
    • 0023322501 scopus 로고
    • Recognition-by-components: A theory of human image interpretation
    • I. Biederman, Recognition-by-components: A theory of human image interpretation, Psychol. Rev. 94 (1987) 115-147.
    • (1987) Psychol. Rev , vol.94 , pp. 115-147
    • Biederman, I.1
  • 47
    • 0026886752 scopus 로고
    • Dynamic binding in a neural network for shape recognition
    • J. E. Hummel and I. Biederman, Dynamic binding in a neural network for shape recognition, Psychol. Rev. 99 (1992) 480-517.
    • (1992) Psychol. Rev , vol.99 , pp. 480-517
    • Hummel, J.E.1    Biederman, I.2
  • 48
    • 0001931087 scopus 로고
    • Vocabulary development: A morphological analysis
    • J. M. Anglin, Vocabulary development: A morphological analysis, Monogr. Soc. Res. Child Dev. 58 (1993).
    • (1993) Monogr. Soc. Res. Child Dev , vol.58
    • Anglin, J.M.1
  • 49
    • 0025377581 scopus 로고
    • Early lexical acquisition: Rate, content and vocabulary spurt
    • B. Goldfield and J. S. Reznick, Early lexical acquisition: Rate, content and vocabulary spurt, J. Child Lang. 17 (1990) 171-183.
    • (1990) J. Child Lang , vol.17 , pp. 171-183
    • Goldfield, B.1    Reznick, J.S.2
  • 52
    • 0023391204 scopus 로고
    • Word learning in children: An examination of fast mapping
    • T. H. Heibeck and E. M. Markman, Word learning in children: An examination of fast mapping, Child Der. 58 (1987) 1021-1034.
    • (1987) Child Der , vol.58 , pp. 1021-1034
    • Heibeck, T.H.1    Markman, E.M.2
  • 55
    • 0022158052 scopus 로고
    • Level-ordering in lexical development
    • P. Gordon, Level-ordering in lexical development, Cognition 21 (1986) 73-93.
    • (1986) Cognition , vol.21 , pp. 73-93
    • Gordon, P.1
  • 56
    • 0042429166 scopus 로고    scopus 로고
    • Language learning and innateness: Some implications of compounds research
    • T. R. Haskell, M. C. MacDonald and M. S. Seidenberg, Language learning and innateness: Some implications of compounds research, Cogn. Psychol. 47 (2003) 119-163.
    • (2003) Cogn. Psychol , vol.47 , pp. 119-163
    • Haskell, T.R.1    MacDonald, M.C.2    Seidenberg, M.S.3
  • 60
    • 0002400080 scopus 로고    scopus 로고
    • Toward the evolution of dynamical neural networks for minimally cognitive behavior
    • eds. P. Maes, M. Mataric, J.-A. Meyer, J. Pollack and S. W. Wilson MIT Press, Cambridge, MA
    • R. D. Beer, Toward the evolution of dynamical neural networks for minimally cognitive behavior, in From Animals to Animats: Proc. 4th Int. Conf. Simulation of Adaptive Behavior, eds. P. Maes, M. Mataric, J.-A. Meyer, J. Pollack and S. W. Wilson (MIT Press, Cambridge, MA, 1996), pp. 421-429.
    • (1996) From Animals to Animats: Proc. 4th Int. Conf. Simulation of Adaptive Behavior , pp. 421-429
    • Beer, R.D.1
  • 62
    • 0003198998 scopus 로고    scopus 로고
    • Using knowledge to speed learning: A comparison of knowledge-based cascade-correlation and multi-task learning
    • Morgan Kaufmann, San Francisco
    • T. R. Shultz and F. Rivest, Using knowledge to speed learning: A comparison of knowledge-based cascade-correlation and multi-task learning, in Proc. 7th Int. Conf. Machine Learning (Morgan Kaufmann, San Francisco, 2000), pp. 871-878.
    • (2000) Proc. 7th Int. Conf. Machine Learning , pp. 871-878
    • Shultz, T.R.1    Rivest, F.2
  • 63
    • 21144473082 scopus 로고
    • Semi-distributed representations and catastrophic forgetting in connectionist networks
    • R. French, Semi-distributed representations and catastrophic forgetting in connectionist networks, Connect. Sci. 4 (1992) 365-377.
    • (1992) Connect. Sci , vol.4 , pp. 365-377
    • French, R.1
  • 64
    • 34447316637 scopus 로고    scopus 로고
    • Rule following and rule use in simulations of the balance-scale task
    • submitted
    • T. R. Shultz, F. Dandurand and Y. Takane, Rule following and rule use in simulations of the balance-scale task, submitted.
    • Shultz, T.R.1    Dandurand, F.2    Takane, Y.3
  • 66
    • 0003014785 scopus 로고
    • Training of modular neural net systems
    • ed. M. A. Arbib MIT Press, Cambridge, MA
    • P. Gallinari, Training of modular neural net systems, in The Handbook of Brain Theory and Neural Networks, ed. M. A. Arbib (MIT Press, Cambridge, MA, 1995).
    • (1995) The Handbook of Brain Theory and Neural Networks
    • Gallinari, P.1
  • 67
    • 48749148075 scopus 로고
    • Structure mapping: A theoretical framework for analogy
    • D. Gentner, Structure mapping: A theoretical framework for analogy, Cogn. Sci. 7 (1983) 155-170.
    • (1983) Cogn. Sci , vol.7 , pp. 155-170
    • Gentner, D.1
  • 69
    • 34447315744 scopus 로고    scopus 로고
    • Why let networks grow?
    • eds. S. S. D. Mareschal and G. Westermann Oxford University Press, Oxford
    • T. R. Shultz, S. P. Mysore and S. R. Quartz, Why let networks grow? in Neuroconstructivism: Perspectives and Prospects, Vol. 2, eds. S. S. D. Mareschal and G. Westermann (Oxford University Press, Oxford, 2006), pp. 65-98.
    • (2006) Neuroconstructivism: Perspectives and Prospects , vol.2 , pp. 65-98
    • Shultz, T.R.1    Mysore, S.P.2    Quartz, S.R.3
  • 71
    • 0242577959 scopus 로고    scopus 로고
    • Learning and inference in the brain
    • K. Friston, Learning and inference in the brain, Neural Networks 16 (2003) 1325-1352.
    • (2003) Neural Networks , vol.16 , pp. 1325-1352
    • Friston, K.1
  • 72
    • 0032114172 scopus 로고    scopus 로고
    • A neuropsychological theory of multiple systems in category learning
    • F. G. Ashby, L. A. Alfonso-Reese, A. U. Turken and E. M. Waldron, A neuropsychological theory of multiple systems in category learning, Psychol. Rev. 105 (1998) 442-481.
    • (1998) Psychol. Rev , vol.105 , pp. 442-481
    • Ashby, F.G.1    Alfonso-Reese, L.A.2    Turken, A.U.3    Waldron, E.M.4
  • 73
    • 0032087040 scopus 로고    scopus 로고
    • Rules and exemplars in category learning
    • M. A. Erickson and J. K. Kruschke, Rules and exemplars in category learning, J. Exp. Psychol. Gen. 127 (1998) 107-140.
    • (1998) J. Exp. Psychol. Gen , vol.127 , pp. 107-140
    • Erickson, M.A.1    Kruschke, J.K.2
  • 75
    • 0039242405 scopus 로고
    • A parallel rule activation and rule synthesis model for generalization in category learning
    • A. Vandierendonck, A parallel rule activation and rule synthesis model for generalization in category learning, Psychonom. Bull. Rev. 2 (1995) 442-459.
    • (1995) Psychonom. Bull. Rev , vol.2 , pp. 442-459
    • Vandierendonck, A.1
  • 76
    • 34447301186 scopus 로고    scopus 로고
    • Simulating frontotemporal pathways involved in lexical ambiguity resolution
    • Erlbaum, Mahwah, NJ
    • J. P. Thivierge, D. Titone and T. R. Shultz, Simulating frontotemporal pathways involved in lexical ambiguity resolution, in Proc. 27th Ann. Conf. Cognitive Science Society (Erlbaum, Mahwah, NJ, 2005), pp. 2178-2183.
    • (2005) Proc. 27th Ann. Conf. Cognitive Science Society , pp. 2178-2183
    • Thivierge, J.P.1    Titone, D.2    Shultz, T.R.3
  • 77
    • 0028951934 scopus 로고
    • Neural mechanisms of selective visual attention
    • R. Desimone and J. Duncan, Neural mechanisms of selective visual attention, Ann. Rev. Neurosci. 18 (1995) 193-222.
    • (1995) Ann. Rev. Neurosci , vol.18 , pp. 193-222
    • Desimone, R.1    Duncan, J.2
  • 78
    • 0034928713 scopus 로고    scopus 로고
    • An integrative theory of prefrontal cortex function
    • E. K. Miller and J. D. Cohen, An integrative theory of prefrontal cortex function, Ann. Rev. Neurosci. 24 (2001) 167-202.
    • (2001) Ann. Rev. Neurosci , vol.24 , pp. 167-202
    • Miller, E.K.1    Cohen, J.D.2
  • 79
    • 0035797450 scopus 로고    scopus 로고
    • Recovering meaning: Left prefrontal cortex guides controlled semantic retrieval
    • A. D. Wagner, E. J. Pare-Blagoev, J. Clark and R. A. Poldrack, Recovering meaning: Left prefrontal cortex guides controlled semantic retrieval, Neuron 31 (2001) 329-338.
    • (2001) Neuron , vol.31 , pp. 329-338
    • Wagner, A.D.1    Pare-Blagoev, E.J.2    Clark, J.3    Poldrack, R.A.4
  • 80
    • 0027653564 scopus 로고
    • Neural networks, nativism and the plausibility of constructivism
    • S. R. Quartz, Neural networks, nativism and the plausibility of constructivism, Cognition 48 (1993) 223-242.
    • (1993) Cognition , vol.48 , pp. 223-242
    • Quartz, S.R.1
  • 81
    • 0030268953 scopus 로고    scopus 로고
    • Generative connectionist networks and constructivist cognitive development
    • D. Mareschal and T. R. Shultz, Generative connectionist networks and constructivist cognitive development, Cogn. Deve. 11 (1996) 571-603.
    • (1996) Cogn. Deve , vol.11 , pp. 571-603
    • Mareschal, D.1    Shultz, T.R.2
  • 82
    • 0002951974 scopus 로고
    • On the impossibility of learning "more powerful" structures
    • ed. M. Piatelli-Palmarini Routledge & Kegan Paul
    • J. Fodor, On the impossibility of learning "more powerful" structures, in The Debate Between Jean Piaget and Noam Chomsky, ed. M. Piatelli-Palmarini (Routledge & Kegan Paul, 1980), pp. 142-152.
    • (1980) The Debate Between Jean Piaget and Noam Chomsky , pp. 142-152
    • Fodor, J.1
  • 83
    • 0003081266 scopus 로고
    • Schema induction and analogical transfer
    • M. L. Gick and K. J. Holyoak, Schema induction and analogical transfer, Cogn. Psychol. 15 (1983) 1-38.
    • (1983) Cogn. Psychol , vol.15 , pp. 1-38
    • Gick, M.L.1    Holyoak, K.J.2
  • 84
    • 84982556581 scopus 로고
    • Analogical problem solving
    • M. L. Gick and K. J. Holyoak, Analogical problem solving, Cogn. Psychol. 12 (1980) 306-355.
    • (1980) Cogn. Psychol , vol.12 , pp. 306-355
    • Gick, M.L.1    Holyoak, K.J.2
  • 86
    • 0032426663 scopus 로고    scopus 로고
    • Learning by imitation: A hierarchical approach
    • R. W. Byrne and A. E. Russon, Learning by imitation: A hierarchical approach, Behav. Brain Sci. 21 (1998) 667-721.
    • (1998) Behav. Brain Sci , vol.21 , pp. 667-721
    • Byrne, R.W.1    Russon, A.E.2
  • 87
    • 0034680134 scopus 로고    scopus 로고
    • Fear memories require protein synthesis in the amygdala for reconsolidation after retrieval
    • K. Nader, G. E. Schafe and J. E. LeDoux, Fear memories require protein synthesis in the amygdala for reconsolidation after retrieval, Nature Med. 406 (2000) 722-726.
    • (2000) Nature Med , vol.406 , pp. 722-726
    • Nader, K.1    Schafe, G.E.2    LeDoux, J.E.3
  • 89
    • 33748096035 scopus 로고    scopus 로고
    • Online image classification using IHDR
    • J. Weng and W.-S. Hwang, Online image classification using IHDR, Int. J. Doc. Anal. Recogn. 5 (2003) 118-125.
    • (2003) Int. J. Doc. Anal. Recogn , vol.5 , pp. 118-125
    • Weng, J.1    Hwang, W.-S.2
  • 90
    • 12344306223 scopus 로고    scopus 로고
    • The interaction of the explicit and the implicit in skill learning: A dual-process approach
    • R. Sun, P. Slusarz and C. Terry, The interaction of the explicit and the implicit in skill learning: A dual-process approach, Psychol. Rev. 112 (2005) 159-192.
    • (2005) Psychol. Rev , vol.112 , pp. 159-192
    • Sun, R.1    Slusarz, P.2    Terry, C.3
  • 92
    • 1942516829 scopus 로고    scopus 로고
    • Combining TD-learning with cascade-correlation networks
    • AAAI Press
    • F. Rivest and D. Precup, Combining TD-learning with cascade-correlation networks, in Proc. 20th Int. Conf. Machine Learning (AAAI Press, 2003), pp. 632-639.
    • (2003) Proc. 20th Int. Conf. Machine Learning , pp. 632-639
    • Rivest, F.1    Precup, D.2
  • 93
    • 0033705011 scopus 로고    scopus 로고
    • Towards programming tools for robots that integrate probabilistic computation and learning
    • IEEE, San Franciso
    • S. Thrun, Towards programming tools for robots that integrate probabilistic computation and learning, in Proc. IEEE, Int. Conf. Robotics and Automation (IEEE, San Franciso, 2000).
    • (2000) Proc. IEEE, Int. Conf. Robotics and Automation
    • Thrun, S.1
  • 94
    • 0025445296 scopus 로고
    • Elephants don't play chess
    • R. Brooks, Elephants don't play chess, Autonom. Robots 6 (1990) 3-15.
    • (1990) Autonom. Robots , vol.6 , pp. 3-15
    • Brooks, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.