Page 504 - Deep Learning
P. 504

References                       487

            Levine, M. W. (2000). Fundamental’s of sensation and perception (3rd ed.). Oxford,
               UK: Oxford University Press.
            Levinson, M. (2006). The box: How the shipping container made the world smaller and
               the world economy bigger. Princeton, NJ: Princeton University Press.
            Levy,  D.,  &  Newborn,  M.  (1991).  How  computers  play  chess.  New  York:  W.  H.
               Freeman.
            Lewin, R. (1992). Complexity: Life at the edge of chaos. New York: Macmillan.
            Lewis, C. (1987). Composition of productions. In D. Klahr, P. Langley, & R. Neches
               (Eds.),  Production  system  models  of  learning  and  development  (pp.  329–358).
               Cambridge, MA: MIT Press.
            ———. (1988). Why and how to learn why: Analysis-based generalization of procedures.
               Cognitive Science, vol. 12, pp. 211–256.
            Liebherr, J. K., & McHugh, J. V. (2003). Coleoptera. In V. H. Resh & R. T. Cardé (Eds.),
               Encyclopedia of insects (pp. 209–229). New York: Academic Press.
            Limón, M. (2001). On the cognitive conflict as an instructional strategy for conceptual
               change: A critical appraisal. Learning and Instruction, vol. 11, pp. 357–380.
            Limón,  M.,  &  Mason,  L.  (Eds.).  (2002).  Reconsidering  conceptual  change:  Issues  in
               theory and practice. Dordrecht, the Netherlands: Kluwer.
            Lipton, P. (2004). Inference to the best explanation (2nd ed.). London, UK: Routledge.
            Little,  D.  M.,  &  Thulborn,  K.  R.  (2006).  Prototype-distortion  category  learning:  A
               two-phase process across a distributed network. Brain and Cognition, vol. 60,
               pp. 233–243.
            Liu,  S.-C.,  &  Liu,  S.-Y.  (2001).  An  efficient  expert  system  for  air  compressor
               troubleshooting. Expert Systems, vol. 18, pp. 203–214.
            Lockhart, R. S. (2002). Levels of processing, transfer-appropriate processing, and the
               concept of robust encoding. Memory, vol. 10, pp. 397–403.
            Lockman, J. J. (2000). A perception-action perspective on tool use development. Child
               Development, vol. 71, pp. 137–144.
            Logan,  G.  D.  (1998).  Toward  an  instance  theory  of  automatization.  Psychological
               Review, vol. 95, pp. 492–527.
            Lombrozo,  T.,  &  Carey,  S.  (2006).  Functional  explanation  and  the  function  of
               explanation. Cognition, vol. 99, pp. 167–204.
            Losee, J. (2005). Theories on the scrap heap: Scientists and philosophers on the falsification,
               rejection,  and  replacement  of  theories.  Pittsburgh,  PA:  University  of Pittsburgh
               Press.
            Lovejoy,  A.  O.,  &  Boas,  G.  (1935/1997).  Primitivism  and  related  ideas  in  antiquity.
               Baltimore, MD: Johns Hopkins University Press.
            Lu, X., Di Eugenio, B., Kershaw, T., Ohlsson, S., & Corrigan-Halpern, A. (2007). Expert
               vs. non-expert tutoring: Dialogue moves, interaction patterns and multi-utterance
               turns. Lecture Notes in Computer Science, vol. 4394, pp. 456–467.
            Lubart, T. I. (2000–2001). Models of the creative process: Past, present and future.
               Creativity Research Journal, vol. 13, pp. 295–308.
            Lucas, J. R. (1961). Minds, machines and Gödel. Philosophy, vol. 36, pp. 112–127.
            Luchins, A. S. (1942). Mechanization in problem solving: The effect of Einstellung.
               Psychological Monographs (Whole No. 248), vol. 54, pp. 1–95.
   499   500   501   502   503   504   505   506   507   508   509