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Generality and applications
Published online by Cambridge University Press: 04 February 2010
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Ackley, D. H., Hinton, G. E. & Sejnowski, T. J. (1985) A learning algorithm for Boltzmann machines. Cognitive Science 9: 147–69. [aJRA]Google Scholar
Aho, A. V., Hoperoft, J. E. & Ullman, J. D. (1974) The design and analysis of computer algorithms. Addison-Wesley. [AVR]Google Scholar
Anderson, J. A. (1973) A theory for the recognition of items from short memorized lists. Psychological Review 80: 417–38. [JTT]Google Scholar
Anderson, J. A. (1983) Cognitive and psychological computation with neural models. In: IEEE Transactions on Systems, Man, and Cybernectics. IEEE. [aJRA]Google Scholar
Anderson, J. A. & Hinton, G. E. (1981) Models of information processing in the brain. In: Parallel models of associative memory, ed. Hinton, G. E. & Anderson, J. A.. Erlbaum. [aJRA]Google Scholar
Anderson, J. R. (1972) FRAN: A simulation model of free recall. In: The psychology of learning and motivation, vol. 5, ed. Bower, G. H.. Academic Press. [rJRA]Google Scholar
Anderson, J. R. (1979) Further arguments concerning representations for mental imagery: A response to Hayes-Roth and Pylyshyn. Psychological Review 86:395–406. [aJRA]CrossRefGoogle Scholar
Anderson, J. R. (1982) Acquisition of cognitive skill. Psychological Review 89:369–406. [JHL]CrossRefGoogle Scholar
Anderson, J. R. (1983) The architecture of cognition. Harvard University Press. [aJRA, AIG, RGR, PSR]Google Scholar
Anderson, J. R. (in press) Analysis of student performance with the LISP tutor. In: Diagnostic monitoring of skill and knowledge acquisition, ed. Frederiksen, N., Glaser, R., Lesgold, A. & Shaffo, M.. Erlbaum. [aJRA]Google Scholar
Anderson, J. R., Boyle, C. F. & Reiser, B.J. (1985) Intelligent tutoring systems. Science 228:456–62. [aJRA]Google Scholar
Anderson, J. R., Farrell, R. & Sauers, R. (1984) Learning to program in LISP. Cognitive Science 8:87–129. [aJRA]Google Scholar
Anderson, J. R., Greeno, J. G., Kline, P. J. & Neves, D. M. (1981) Acquisition of problem-solving skill. In: Cognitive skills and their acquisition, ed. Anderson, J. R.. Erlbaum. [EPS]Google Scholar
Anderson, J. R., Pirolli, P. & Farrell, R. (in press) Learning to program recursive functions. In: The nature of expertise, ed. Chi, M., Glaser, R. & Farr, M.. Erlbaum. [aJRA]Google Scholar
Anderson, J. R. & Skwarecki, E. (1986) The automated tutoring of introductory computer programming. Communications of the ACM 29: 842–49. [AC]CrossRefGoogle Scholar
Arbib, M. A. (1987) Modularity and interaction of brain regions underlying visuo-motor coordination. In: Modularity in knowledge representation and natural language understanding, ed. Garfield, J. L.. MIT Press/Bradford Books. [MAA]Google Scholar
Arbib, M. A., Caplan, D. & Marshall, J. C., eds. (1982) Neural models of language processes. Academic Press. [J-PE]Google Scholar
Atkinson, R. C. & Paulson, J. A. (1972) An approach to the psychology of instruction. Psychological Bulletin 78:49–61. [RG]Google Scholar
Barto, A. G., Sutton, R. S. & Anderson, C. W. (1983) Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Transactions on Systems, Man, and Cybernetics SMC 13:834– 46. [DSL]Google Scholar
Berwick, R. (in press) Parsability and learnability. In: Mechanisms of language acquisition, ed. MacWhinney, B.. [aJRA]Google Scholar
Bledsoe, W. W. (1977) Non-resolution theorem proving. Artificial Intelligence 9: 1–35. [EPS]CrossRefGoogle Scholar
Braine, M. D. S. (in press) What is learned in acquiring word classes: A step toward an acquisition theory. In: Mechanisms of language acquisition, ed. MacWhinney, B.. [aJRA]Google Scholar
Broadbent, D. (1985) A question of levels: Comment on McClelland and Rumelhart. Journal of Experimental Psychology: General 114:189–92. [aJRA, KS]CrossRefGoogle Scholar
Brown, J. S. & Greeno, J. (1984) Research briefings 1984. National Academy Press. [aJRA]Google Scholar
Brown, J. S. & VanLehn, K. (1980) Repair theory: A generative theory of bugs in procedural skills. Cognitive Science 4:379–426. [aJRA]Google Scholar
Bullock, T. H. (1983) Implications for neuroethology from comparative neurology. In: Advances in vertebrate neuroethology, ed. Ewert, J. -P., Capranica, R. R. & Ingle, D. J.. Plenum. [J-PE]Google Scholar
Bundy, A. (1983) The computer modelling of mathematical reasoning. Academic Press. [EPS]Google Scholar
Card, S. K., Moran, T. P. & Newell, A. (1983) The psychology of humancomputer interaction. Erlbaum [aJRA, CS]Google Scholar
Card, S. K. & Newell, A. (1985) The prospects for psychological science in human-computer interaction. Human—Computer Interaction 1: 209–42. [aJRA]Google Scholar
Cazden, C. G. (1965) Environmental assistance to the child's acquisition of grammar. Doctoral dissertation, Harvard University. [aJRA]Google Scholar
Chandrasekaran, B. (1984) Expert systems: Matching techniques to tasks. In: Al applications for business, ed. Reitman, W.. Ablex Publishing. [WJG]Google Scholar
Charniak, E. (1983) Passing markers: A theory of contextual influence in language comprehension. Cognitive Science 7: 171–90. [JH]Google Scholar
Chase, W. G. & Clark, H. H. (1972) Mental operations in the comparison of sentences and pictures. In: Cognition in learning and memory, ed, Gregg, L.. Wiley. [aJRA]Google Scholar
Chase, W. G. & Ericsson, K. A. (1981) Skilled memory. In: Cognitice skills and their acquisition, ed. Anderson, J. R.. Erlbaum. [KAE]Google Scholar
Chase, W. G. & Ericsson, K. A. (1982) Skill and working memory. In: The psychology of learning and motivation, vol. 16, ed. Bower, G. H.. Academic Press. [KAE]Google Scholar
Chi, M. T. H., Feltovich, P. J. & Glaser, R. (1981) Categorization and representation of physics problems by experts and novices. Cognitive Science 5:121–52. [aJRA]Google Scholar
Chomsky, N. (1980) Rules and representations. Behavioral and Brain Sciences 3: 1–61. [aJRA]Google Scholar
Church, A. (1936) A note on the Entscheidungs problem. Journal of Symbolic Logic 1: 40–41. [AC]Google Scholar
Clancey, W. J. (1984) Acquiring, representing, and evaluating a competence model of diagnosis. Heuristic Programing Project Memo 84–2, Stanford University. (To appear in Chi, M., Glaser, R. & Farr, M., eds., The nature of expertise, in preparation.) [WJC]Google Scholar
Clancey, W. J. (1985) Heuristic classification. Artificial Intelligence 27: 289–350. [WJC]Google Scholar
Clancey, W. J. (1986) Viewing knowledge bases as qualitative models (Knowledge Systems Laboratory Report 86–27). Stanford University. [WJC]Google Scholar
Clancey, W. J. (in press) Qualitative students models. Annual Review of Computer Science. [aJRA]Google Scholar
Cottrell, G. W. (1985) A connectionist approach to word sense disambiguation. Doctoral dissertation, University of Rochester. [JH]Google Scholar
Cronbach, L. J. & Snow, R. E. (1977) Aptitudes and instructional methods. Halstead Press. [RG]Google Scholar
Crowder, R. G. (1982) The psychology of reading: An introduction. Oxford University Press. [aJRA]Google Scholar
Dawson, M. E. & Schell, A. M. (1982) Electrodermal responses to attended and nonattended significant stimuli during dichotic listening. Journal of Experimental Psychology: Human Perception and Performance 8: 315–24. [MVK]Google ScholarPubMed
Derthick, M. A. & Plaut, D. C. (1986) Is distributed connectionism compatible with the physical symbol system hypothesis? Proceedings of the Eighth Annual Conference of the Cognitice Science Society, Amherst, Mass., pp. 639–44. [DST]Google Scholar
Desmedt, J. E., ed. (1977) Language and hemispheric specialization in man: Cerebral event-related potentials. S. Karger. [MVK]Google Scholar
Ebbesson, S. O. E., ed. (1980) Comparative neurology of the telencephalon. Plenum. [J-PE]Google Scholar
Ebbesson, S. O. E., ed.(1984) Evolution and ontogeny of neural circuits. Behavioral and Brain Sciences 7: 321–66. [J-PE]Google Scholar
Eccles, J. C, Ito, M. & Szentagothai, J. (1967) The cerebellum as a neuronal machine. Springer-Verlag. [J-PE]CrossRefGoogle Scholar
Ericsson, K. A. (1985) Memory skill. Canadian Journal of Psychology 39: 188–231. [KAE]CrossRefGoogle Scholar
Ericsson, K. A. & Polson, P. G. (in press) Memory for restaurant orders. In: The nature of expertise, ed. Chi, M. T. H., Glaser, R. & Farr, M. J.. Erlbaum. [KAE]Google Scholar
Ericsson, K. A. & Simon, H. A. (1984) Protocol analysis: Verbal reports as data. MIT Press. [arJRA, KAE]Google Scholar
Ewert, J. -P. (1987a) Measuring visual discrimination: Principles in configurational perception. In: Methods and aims in neuroethology. ed. Guthrie, D. M.. Manchester University Press. [J-PE]Google Scholar
Ewert, J. -P. (1987b) Neurethology: Toward a functional analysis of stimulus-response mediating and modulating neural circuitries. In: Cognitive processes and spatial orientation in animal and man, vol. 1, ed. Ellen, P. & Thinus-Blanc, C.. Dordrecht: Martinus Nijhoff. [J-PE]Google Scholar
Ewert, J. P. & Finkenstadt, T. (1987) Modulation of tectal functions by prosencephalic loops in amphibians. Behavioral and Brain Sciences 10:122–23. [J-PE]Google Scholar
Fahlman, S. E. (1979) NETL: A system for representing and using real world knowledge. MIT Press. [JH]Google Scholar
Feldman, J. A. (1981) A connectionist model of visual memory. In: Parallel models of associative memory, ed. Hinton, G. E. & Anderson, J. A.. Erlbaum. [MVK]Google Scholar
Feldman, J. A. & Ballard, D. H. (1982) Connectionist models and their properties. Cognitive Science 6: 205–54. [aJRA, JH]Google Scholar
Gaffan, D. (1976) Recognition memory in animals. In: Recognition and recall, ed. Brown, J.. Wiley. [J-PE]Google Scholar
Gigley, H. M. (1983) HOPE - AI and the dynamic process of language behavior. Cognition and Brain Theory 6:39–88. [MAA]Google Scholar
Grossberg, S. (1971) On the dynamics of operant conditioning. Journal of Theoretical Biology 33:225–55. [DSL]Google Scholar
Grossberg, S. (1975) A neural model of attention, reinforcement, and discrimination learning. International Review of Neurobiology 18:263–327. [DSL]Google Scholar
Grossberg, S. (1980) How does a brain build a cognitive code? Psychological Review 87:1–51. [JTT]Google Scholar
Grossberg, S. (1982) Processing of expected and unexpected events during conditioning and attention: A psychophysiological theory. Psychological Review 89: 529–72. [DSL]Google Scholar
Grossberg, S. & Levine, D. S. (1975) Some developmental and attentional biases in the contrast enhancement and short-term memory of recurrent neural networks. Journal of Theoretical Biology 53: 341–80. [DSL]CrossRefGoogle ScholarPubMed
Hendler, J. A. (in press) Integrating marker-passing and problem solving: A spreading activation approach to improved choice in planning. Erlbaum. [JH]Google Scholar
Herrick, C. J. (1933) The amphibian forebrain, 8, Cerebral hemispheres and pallial primordia. Journal of Comparative Neurology 58:737–59. [J-PE]CrossRefGoogle Scholar
Hill, J. C. (1983) A computational model of language acquisition in the twoyear-old. Cognition and Brain Theory 6:287–317. [MAA]Google Scholar
Hillyard, S. A., Munte, T. F. & Neville, H. (1985) Visual-spatial attention, orienting, and brain physiology. In: Attention and performance, vol. 11, ed. Posner, M. I. & Marin, O. S. M.. Erlbaum. [MVK]Google Scholar
Hinton, G. E. (1987) Representing part-whole hierarchies in connectionist networks. Manuscript. [PS]Google Scholar
Hinton, G. E. & Anderson, J. A. (1981) Parallel models of associative memory. Erlbaum. [aJRA]Google Scholar
Hinton, G. E., McClelland, J. L. & Rumelhart, D. E. (1986) Distributed representations. In: Parallel distributed processing: Explorations in the microstructurc of cognition, vol. 1, ed. Rumelhart, D. E., J. L.McClelland & the PDP Research Group. MIT Press/Bradford Books. [DST]Google Scholar
Hinton, G. E., McClelland, J. L. & Rumelhart, D. E. (1986a) Distributed representations. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2, Psychological and biological models, ed. McClelland, J. L., D. E. Rumelhart & the PDP Research Group. MIT Press/Bradford Books. [PS]Google Scholar
Hopfield, J. J. (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences (U.S.A.) 79:2554–58. [JTT]Google Scholar
Hubel, D. H. & Wiesel, T. N. (1977) Functional architecture of macaque monkey visual cortex. Proceedings of the Royal Society (London) B198: l–59. [J-PE]Google Scholar
Hume, D. (1902) Enquiries concerning the human understanding and concerning the principles of morals, ed. Selby-Bigge, L. A.. Clarendon Press. [J-PE]Google Scholar
Hutchins, E. (1986) Mediation and automatization. Quarterly Newsletter of the Laboratory of Comparative Human Cognition 8(2). University of California, San Diego. [CS]Google Scholar
Johnson, L. & Soloway, E. (1984) Intention-based diagnosis of programming errors. Proceedings of the National Conference on Artificial Intelligence, Austin, Tex. [aJRA]Google Scholar
Just, M. A. & Carpenter, P. A. (1979) The computer and eye processing pictures. Behavioral Research Methods and Instrumentation 11:172–76. [aJRA]Google Scholar
Kandel, E. (1985) Cellular mechanisms of learning and the biological basis of individuality. In: Principles of neural science (2nd ed.), ed. Kandel, E. R. & Schwartz, J. M.. Elsevier. [MVK]Google Scholar
Knuth, D. E. (1973) The art of computer programming, vol. 1, Fundamental algorithms. Addison-Wesley. [AC]Google Scholar
Kosslyn, S. M. (1987) Seeing and imagining in the cerebral hemispheres: A computational approach. Psychological Review 94: 148–75. [MVK]Google Scholar
Kounios, J., Osman, A. M. & Meyer, D. E. (1987) Structure and process in semantic memory: New evidence based on speed-accuracy decomposition. Journal of Experimental Psychology: General 116:3–25. [PS]Google Scholar
Laird, J. E. & Newell, A. (1983) Universal weak method: Summary of results. In: Proceedings of the Eight IJCAl, vol. 1. International Joint Conference on Artificial Intelligence. [aJRA]Google Scholar
Laird, J. E., Newell, A. & Rosenbloom, P. S. (in press) SOAR: An architecture for general intelligence. Artificial Intelligence 33. [PSR]Google Scholar
Larkin, J. H. (1981) Enriching formal knowledge: A model for learning to solve textbook physics problems. In: Cognitive skills and their acquisition, ed. Anderson, J. R.. Erlbaum. [arJRA, EPS]Google Scholar
Leven, S. J. & Levine, D. S. (submitted) A theory of decision-making in psychology and economics: Emotion, reason, and optimality revisited. [DSL]Google Scholar
Levine, D. S. (1986) A neural network theory of frontal lobe function. In: Proceedings of the Eighth Annual Conference of the Cognitive Science Society. Erlbaum. [DSL]Google Scholar
Lorenz, K. (1943) Die angeborenen Formen möglicher Erfahrung. Zeitschrift für Tierpsychologie 5:235–409. [J-PE]Google Scholar
Loveland, D. W. (1984). Automated theorem proving: A quarter century review. In: Automated theorem proving: After 25 years, ed. Bledsoe, W. W. & Loveland, D. W.. American Mathematical Society. [EPS]Google Scholar
Lynch, G., McGaugh, J. L. & Weinberger, N. M., eds. (1984) Neurobiology of learning and memory. Guilford Press. [J-PE]Google Scholar
MacLean, P. (1970) The triune brain, emotion, and scientific bias. In: The neurosdences second study program, ed. Schmitt, F. O.. Rockefeller University Press. [DSL]Google Scholar
Marr, D. (1979) Representing and computing visual information. In: Artificial intelligence: An MIT perspective, vol. 2, ed. Winston, P. H. & Brown, R. H.. MIT Press [EPS]Google Scholar
Marr, D. (1982) Vision: A computational investigation into the human representation and processing of visual information. W. H Freeman. [aJRA, MAA, AC, JH, MVK, AVR]Google Scholar
Mazziotta, J. C., Phelps, M. E., Carson, R. E. & Kuhl, D. E. (1982) Tomographic mapping of human cerebral metabolism: Auditory stimulation. Neurology 32: 921–37. [MVK]Google Scholar
McClelland, J. L. & Kawamoto, A. H. (1986) Mechanisms of sentence processing: Assigning roles to constituents. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2, ed. McClelland, J. L., D. E. Rumelhart & the PDP Research Group. MIT Press/Bradford Books. [DST]Google Scholar
McClelland, J. L. & Rumelhart, D. E., eds. (1986). Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2, Psychological and biological models. MIT Press/Bradford Books. [aJRA, MVK]Google Scholar
McClelland, J. L. & Rumelhart, D. E. (1986a) On learning the past tenses of English verbs. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2, ed. McClelland, J. L., D. E. Rumelhart & the PDP Research Group. MIT Press/Bradford Books. [DST]Google Scholar
McCulloch, W. S. & Pitts, W. (1943) A logicalculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5:115–33. [JTT]Google Scholar
Miller, G. (1986) Dismembering cognition. In: One hundred years of psychological research in America, ed. Hulse, G. S. & Green, B. F. Jr, Johns Hopkins University Press. [RG]Google Scholar
Moran, T. (1983) Getting into a system: External-internal task-mapping analysis. In: Proceedings of CHI 1983: Human factors in computing systems. Boston: CHI (Computer Human Interaction). [aJRA]Google Scholar
Morgan, J. L. & Newport, E. L. (1981) The role of constituent structure in the induction of an artificial language. Journal of Verbal Learning and Verbal Behavior 20: 67–85. [aJRA]Google Scholar
Mortensen, C. (1985) Mental images: Should cognitive science learn from neurophysiology? Presented at AAP Conference on Cognitive Science, University of N.S.W. (To appear in the published proceedings, ed. Slezack, P.. Reidel. [CM]Google Scholar
Mounteastle, V. B. (1957) Modality and topographic properties of single neurons of cat's somatic sensory cortex. Journal of Neurophysiology 20: 403–34. [J-PE]Google Scholar
Mueller, G. E. (1911) Zur Analyse der Gedaechtnistaetigkeit iind desVorstellungsverlaufes: Teil I. Zeitschrift für Psychologie Ergaenzungsband 5. [KAE]Google Scholar
Mueller, G. E. (1917) Zur Analyse der Gedaechtnistaetigkeit und des Vorstellungsverlaufes: Teil II. Zeitschrift für Psychologie Ergaenzungsband 9. [KAE]Google Scholar
Murdock, B. B. (1982) A theory for the storage and retrieval of items and associative information. Psychological Review 89:609–26. [JTT]Google Scholar
Nauta, W. (1971) The problem of the frontal lobe: A reinterpretation. Journal of Psychiatric Research 8: 167–87. [DSL]Google Scholar
Nelson, K. E., Carskadden, G. & Bonvillian, J. D. (1973) Syntax acquisition: Impact of experimental variation in adult verbal interaction with the child. Child Development 44: 497–504. [aJRA]Google Scholar
Neves, D. M. (1981) Learning procedures from examples. Unpublished doctoral dissertation. Department of Psychology, Carnegie-Mellon University. [aJRA]Google Scholar
Newell, A. (1973) Production systems: Models of control structures. In: Visual information processing, ed. Chase, W. G.. Academic Press. [aJRA]Google Scholar
Newell, A. & Rosenbloom, P. (1981) Mechanisms of skill acquisition and the law of practice. In: Cognitive skills and their acquisition, ed. Anderson, J. R.. Erlbaum. [aJRA]Google Scholar
Norman, D. A. (1981) Categorization of action slips. Psychological Review 88: 1–15. [aJRA]Google Scholar
Northcutt, R. G. (1981) Evolution of the telencephalon in nonmammals. Annual Review of Neuroscience 4: 301–50. [J-PE]Google Scholar
Norman, D. A. (1986) Strategies of comparison: How do we study brain evolution? Verhandlungen der Deutschen Zoologischen Gesellschaft 79: 91–103. [J-PE]Google Scholar
O'Keefe, J. & Nadel, L. (1979) Précis of O'Keefe & Nadel's The hippocampus as a cognitive map. Behavioral and Brain Sciences 2: 487–533. [J-PE]Google Scholar
Paillard, J. (1987) Cognitive versus sensorimotor encoding of spatial information. In: Cognitive processes and spatial orientation in animal and man, vol. 2, ed. Ellen, P. & Thinus-Blanc, C.. Dordrecht: Martinus Nijhoff. [J-PE]Google Scholar
Phelps, M. E. & Mazziotta, J. E. (1985) Positron emission tomography: Brain function and biochemistry. Science 228: 799–809. [MVK]Google Scholar
Pirolli, P. L. & Anderson, J. R. (1985) The role of learning from examples in the acquisition of recursive programming skills. Canadian Journal of Psychology 39: 240–72. [KAE]Google Scholar
Ploog, D. & Gottwald, P. (1974) Verhaltensforschung: lnstinkt, Lemen, Hirttfunktion. Urgan & Schwarzenberg. [J-PE]Google Scholar
Poison, P. G. & Kieras, D. E. (1985) A quantitative model of the learning and performance of text editing. In: Proceedings of the conference on human factors in computer systems, ed. CHI, (Computer Human Interaction). Association for Computing Machinery. [aJRA]Google Scholar
Pylyshyn, Z. W. (1980) Computation and cognition: Issues in the foundations of cognitive science. Behavioral and Brain Sciences 3:111–69. [aJRA, JH, AVR]Google Scholar
Pylyshyn, Z. W. (1981) The imagery debate: Analogue media versus tacit knowledge. Psychological Review 88: 1–24. [aJRA]Google Scholar
Quillian, M. R. (1966) Semantic memory. Doctoral dissertation, Carnegie Institute of Technology. (Available as [1966] Report 2, Project 8668, Bolt, Baranek, and Newman.) [JH]Google Scholar
Rashevsky, N. (1931) Learning as a property of physical systems. Journal of General Psychology 5: 207–29. [JTT]Google Scholar
Reed, A. V. (1973) Speed-accuracy tradeoff in recognition memory. Science 181: 574–76. [AVR]Google Scholar
Reed, A. V. (1976) List length and the time-course of recognition in immediate memory. Memory and Cognition 4: 16–30. [AVR]Google Scholar
Resnick, L. (1982) Syntax and semantics in learning to subtract. In: Addition and subtraction: A cognitive perspective, ed. Carpenter, T., Moser, J. & Romberg, T.. Erlbaum. [aJRA]Google Scholar
Rogers, H. Jr, (1967) Theory of recursive functions and effective computability. McGraw-Hill. [AC]Google Scholar
Rosenblatt, F. (1959) Two theorems of statistical separability in the perception. Proceedings of a symposium on the mechanization of thought processes, Her Majesty's Stationary Office, London. [JTT]Google Scholar
Rosenbloom, P. S. (1983) The chunking of goal hierarchies: A model of practice and stimulus-response compatibility. Unpublished Ph.D. thesis, Carnegie-Mellon University. [rJRA]Google Scholar
Rosenbloom, P. S. & Newell, A. (1986) The chunking of goal hierarchies: A generalized model of practice. In: Machine learning II, ed. Miehalski, R. S., Carbonell, J. G. & Mitchell, T. M.. Morgan Kaufman. [aJRA]Google Scholar
Rumelhart, D. E. & McClelland, J. L. (1985) Levels indeed! A response to Broadbent. Journal of Experimental Psychology: General 114: 193–97. [aJRA, AC, KS, DST]Google Scholar
Rumelhart, D. E. & McClelland, J. L., eds. (1986) Parallel distributed processing: Explorations in the microstructure of cognition, vol. 1, Foundations. MIT Press/Bradford Books. [aJRA, MAA, J-PE, MVK]Google Scholar
Rumelhart, D. E. & McClelland, J. L. (1986a) PDP models and general issues in cognitive science. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 1, ed. Rumelhart, D. E., J. L. McClelland & the PDP Research Group. MIT Press/Bradford Books. [DST]Google Scholar
Rumelhart, D. E. & Norman, D. A. (1982) Simulating a skilled typist: A study of skilled cognitive-motor performance. Cognitive Science 6: 1–36. [CS]Google Scholar
Rumelhart, D. E., Smolensky, P., McClelland, J. L. & Hinton, G. E., (1986) Schemata and sequential thought processes in parallel distributed processing models. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2, Psychological and biological models, ed. McClelland, J. L., D. E. Rumelhart & the PDP Research Group. MIT Press/Bradford Books. [PS]Google Scholar
Sauers, R. & Farrell, R. (1982) GRAPES user's manual (Technical Report ONR-82–3). Carnegie-Mellon University. [aJRA, PSR]Google Scholar
Schopenhauer, A. (1883) The world as will and idea. (Translation by Haldane, R. B. & Kemp, I.) London: Kegan Paul, Trench, Trubner. [J-PE]Google Scholar
Sebrechts, M. M. & Black, J. B. (1982) Software technology: A rich new domain for applied psychology. Applied Psycholinguistics 3: 123–43. [aJRA]Google Scholar
Sejnowski, T. J. & Rosenberg, C. R. (1986) NETtalk: A parallel network that learns to read aloud (Technical Report JHU/EECS-86/01). The Johns Hopkins University Electrical Engineering and Computer Science Department. [DST]Google Scholar
Shastri, L. (1985) Evidential reasoning in semantic networks: A formal theory and its parallel implementation. Doctoral dissertation, University of Rochester. [JH]Google Scholar
Smolensky, P. (1986) Neural and conceptual interpretations of parallel distributed processing models. In: Parallel distributed processing: Explorations in the microstructure of cognition, vol. 2. Psychological and biological models, ed. McClelland, J. L., D. E. Rumelhart & the PDP Research Group. MIT Press/Bradford Books. [PS]Google Scholar
Smolensky, P. (1987a) Connectionist AI, symbolic AI, and the brain. Al Review 1: 95–109. [PS]Google Scholar
Smolensky, P. (1987b) On the proper treatment of connectionism (Technical Report CUCS-359–87). Department of Computer Science, University of Colorado at Boulder. In preparation for Behavioral and Brain Sciences, vol. 11 (1988). [PS]Google Scholar
Smolensky, P. (1987c) On variable binding and the representation of symbolic structures in connectionist systems (Technical Report CU-CS-355-87). Department of Computer Science, University of Colorado at Boulder. [PS]Google Scholar
Staszewski, J. (1986) The psychological reality of retrieval structures: An investigation of expert knowledge. Unpublished Ph.D. dissertation, Cornell University. [KAE]Google Scholar
Stenning, K., Shepherd, M. & Levy, J. P. (1987) On the construction of representations for individuals during text comprehension (Research Paper No. 9). Centre for Cognitive Science, University of Edinburgh. [KS]Google Scholar
Sternberg, S. (1969) Memory scanning: Mental processes revealed by reaction time experiments. American Scientist 57: 421–57. [aJRA]Google Scholar
Sutton, R. S. & Barto, A. G. (1981) Toward a modern theory of adaptive networks: Expectation and prediction. Psychological Review 88: 135–70. [DSL]Google Scholar
Taylor, M. M. (1984) The Bilateral Cooperative Model of reading: A human paradigm for artificial intelligence. In: Artificial and human intelligence. ed. Elithorn, A. & Banerji, R., Elsevier, . (First published in 1981 by Defence and Civil Institute of Environmental Medicine, Ontario, Canada, as Research Paper 81-P-4). [MMT]Google Scholar
Taylor, M. M. (in press) Natural dialogue is not natural language: Response timing layered protocol. In: Structure of multimodal dialogue, ed. Taylor, M. M., Neel, F. & Bouwhuis, D. G.. North-Holland. [MMT]Google Scholar
Thompson, T. & Clancey, W. J. (1986) A qualitative modeling shell for process diagnosis. IEEE Transactions on Software 3(2): 6–15. [WJC]Google Scholar
Tikhomirov, O. (1985) Informal heuristic principles of motivation and emotion in human problem solving. In: Methods of heuristics, ed. Groner, R., Groner, & Bischof, W.. Erlbaum. [DSL]Google Scholar
Tolman, E. C. (1948) Cognitive maps in rats and men. Psychological Review 55: 189–208. [J-PE]Google Scholar
Touretzky, D. S. (1986) BoltzCONS: Reconciling connectionism with the recursive nature of stacks and trees. Proceedings of the 8th Conference of the Cognitive Science Society, Amherst, Mass. [PS]Google Scholar
Touretzky, D. S. & Derthick, M. A. (1987) Symbol structures in connectionist networks: Five properties and two architectures. COMPCON Spring 32nd IEEE Computer Society International Conference, San Francisco. [DST]Google Scholar
Touretzky, D. S. & Hinton, G. E. (1985) Symbols among the neurons: of a connectionist inference architecture. Proceedings of the International Joint Conference on Artificial Intelligence. [PS]Google Scholar
Townsend, J. T. (1974) Issues and models concerning the processing of a finite number of inputs. In: Human information processing: Tutorials in performance and cognition, ed. Kantowitz, B. H.. Erlbaum. [aJRA]Google Scholar
Townsend, J. T. & Ashby, F. G. (1983) Stochastic modeling of elementary psychological processes. Cambridge University Press. [JTT]Google Scholar
VanLehn, K. (1983) Felicity conditions for human skill acquisition: Validating an Al-based theory (Technical Report CIS-21). Palo Alto: Xerox Pare. [aJRA]Google Scholar
Vinogradova, O. (1975) Hippocampus and the orienting reflex. In: Neuronal mechanisms of the orienting reflex, ed. Sokolov, E. N. & Vinogradova, O.. Erlbaum. [J-PE]Google Scholar
Willshaw, D. (1981) Holography, associative memory, and inductive generalization. In: Parallel models of associative memory, ed. Hinton, G. E. & Anderson, J. A.. Erlbaum. [JTT]Google Scholar
Woolf, B. & McDonald, D. D. (1984) Building a computer tutor: Design issues. IEEE Transactions on Computers 17: 61–73. [MAA]Google Scholar