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Computation: Part of the problem of creativity
Published online by Cambridge University Press: 04 February 2010
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References
Abelson, R. P. (1973) The structure of belief systems. In: Computer models of thought and language, ed. Schank, R. C. & Colby, K. M.. W. H. Freeman. [arMAB]Google Scholar
Amarel, S. (1968) On representations of problems of reasoning about actions. In: Machine intelligence 3, ed. Michie, D.. Edinburgh University Press. [rMAB]Google Scholar
Arbib, M. (1993) Review of Allen Newell's Unified theories of cognition. Artificial Intelligence 59:265–83. [rMAB]CrossRefGoogle Scholar
Bickhard, M. H. (1991) The import of Fodor's anticonstructivist arguments. In: Epistemological foundations of mathematical experience, ed. Steffe, L. P.. Springer-Verlag. [RLC]Google Scholar
Bickhard, M. H. (1993) Representational content in humans and machines. Journal of Experimental and Theoretical Artificial Intelligence 5:285–333. [RLC]CrossRefGoogle Scholar
Bickhard, M. H. & Campbell, R. L. (1989) Interactivism and genetic epistemology. Archives de Psychologie 57:99–121. [RLC]Google Scholar
Bickhard, M. H. & Richie, D. M. (1983) On the nature of representation: A case study of James Gibson's theory of perception. Praeger. [RLC]Google Scholar
Boden, M. A. (1972) Purposive explanation in psychology. Harvard University Press. [arMAB, KWMF]CrossRefGoogle Scholar
Boden, M. A. (1977) Artificial intelligence and natural man. Basic Books. (1987: Expanded ed. New York, Basic Books; London, MIT Press.) IrMAB]Google Scholar
Boden, M. A. (1988) Computer models of mind: Computational approaches in theoretical psychology. Cambridge University Press. [arMAB]Google Scholar
Boden, M. A. (1990a) The creative mind: Myths and mechanisms. Weidenfeld & Nicolson. (1991: Expanded ed., Abacus; American ed., Basic Books.) [aMAB, CAP]Google Scholar
Boden, M. A. (1990b) Escaping from the Chinese room. In: The philosophy of artificial intelligence, ed. Boden, M. A.. Oxford University Press. [rMAB]Google Scholar
Boden, M. A. (1993) Mapping, exploring, transforming. Artificial Intelligence and Simulation of Behavior Quarterly: Special Issue on Artificial Intelligence and Creativity, Autumn. [THD]Google Scholar
Boden, M. A. (1994) What is creativity? In: Dimensions of creativity, ed. Boden, M. A.. MIT Press. [arMAB]CrossRefGoogle Scholar
Boden, M. A. (in press) Creativity and computers. In: Artificial intelligence and creativity: An interdisciplinary approach, ed. Dartnall, T. H.. Kluwer Academic. [THD]Google Scholar
Bowers, K. S., Regehr, G., Balthazard, C. & Parker, K. (1990) Intuition in the context of discovery. Cognitive Psychology 22:72–110. [VAS]CrossRefGoogle Scholar
Brainerd, C. J. (1978) The stage question in cognitive-developmental theory. Behavioral and Brain Sciences 2:173–213. [HLJM]CrossRefGoogle Scholar
Brannigan, A. (1981) The social basis of scientific discoveries. Cambridge University Press. [aMAB]Google Scholar
Bringsjord, S. (1994) “Why Henrik Ibsen threatens computer-generated literature,” presented at the Computer Generated Literature session at ALLC-ACH 94, Colloque de Paris VII—Jussieu, La Sorbonne, Paris, France, 04 22. [SB]Google Scholar
Bundy, A. (1991) A science of reasoning. In: Computational logic: Essays in honor of Alan Robinson, ed. Lassez, J.-L. & Plotkin, G.. MIT Press. (Also available from Edinburgh University as DAI Research Paper 445.) [AB]Google Scholar
Burns, B. D. & Schriener, M. E. (1992) Analogy and representation: Support for the Copycat model. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, Bloomington, IN, 07: 737–42. [BDB]Google Scholar
Campbell, D. T. (1960) Blind variation and selective retention in creative thought as in other knowledge processes. Psychological Review 67:380–400. [KJC, DKS]CrossRefGoogle ScholarPubMed
Campbell, R. L. (1993) Sun Ra: Super sonic sounds from Saturn. Goldmine 19(2):22ff. [RLC]Google Scholar
Campbell, R. L. & Bickhard, M. H. (1987) A deconstruction of Fodor's anticonstructivism. Human Development 30:48–59. [RLC]CrossRefGoogle Scholar
Campbell, R. L. & Bickhard, M. H. (1991) If human cognition is adaptive, can human knowledge consist of encodings? Behavioral and Brain Sciences 14:488–89. [RLC]CrossRefGoogle Scholar
Campbell, R. L. & Bickhard, M. H. (1992) Types of constraints on development: An interactivist approach. Developmental Review 12:311–38. [RLC]CrossRefGoogle Scholar
Chalmers, D. J., French, R. M. & Hofstadter, D. R. (1991) High-level perception, representation, and analogy: A critique of artificial intelligence methodology. CRCC Technical Report 49. Center for Research on Concepts and Cognition, Indiana University, Bloomington, IN. [aMAB]Google Scholar
Clark, A. C. (1993) Associative engines: Connectionism, concepts and representational change. Bradford Books/MIT Press. [rMAB, THD]CrossRefGoogle Scholar
Clark, A. C. & Karmiloff-Smith, A. (in press) The cognizer's innards (with peer-commentary). Mind and Language 8(3). [arMAB, THD]Google Scholar
Cliff, D., Harvey, I. & Husbands, P. (1993) Explorations in evolutionary robotics. Adaptive Behavior 2(1):71–104. [rMAB]CrossRefGoogle Scholar
Colby, K. M. & Gilbert, J. P. (1964) Programming a computer model of neurosis. Journal of Mathematical Psychology 1:405–17. [rMAB]CrossRefGoogle Scholar
Csikszentimihalyi, M. (1988a) Motivation and creativity: Toward a synthesis of structural and energistic approaches to cognition. New Ideas in Psychology 6:159–76. [DKS]CrossRefGoogle Scholar
Csikszentimihalyi, M. (1988b) Society, culture, and person: A systems view of creativity. In: The nature of creativity: Contemporary psychological perspectives, ed. Sternberg, R. J.. Cambridge University Press. [RWW]Google Scholar
Dartnall, T. H. (1992) After Lamington: AI, creativity and representational redescription. Artificial Intelligence and Simulation of Behavior Quarterly, Autumn. [THD]Google Scholar
Dartnall, T. H. (1993a) AI, creativity, representational redescription, intentionality, mental life: An emerging picture. In: AAAI technical report on AI and creativity, ed. Dartnall, T. H., Kim, S., Levinson, R., Sudweeks, F. & Subramanian, D.. AAAI Press. [THD]Google Scholar
Dartnall, T. H. ed. (1993b) Artificial Intelligence and Simulation of Behavior Quarterly: Special Issue on AI and Creativity, Autumn. [THD]Google Scholar
Dartnall, T. H. ed. (in press a) Artificial intelligence and creativity: An interdisciplinary approach. Kluwer Academic. [THD]CrossRefGoogle Scholar
Dartnall, T. H. (in press b) Creativity, thought and representational redescription. In: Artificial intelligence and creativity: An interdisciplinary approach, ed. Dartnall, T. H.. Kluwer Academic. [THD]CrossRefGoogle Scholar
Davey, A. (1978) Discourse production: A computer nwdel of some aspects of a speaker. Edinburgh University Press. [aMAB]Google Scholar
Donald, M. (1993) What we were, what we are becoming: Cognitive evolution. Social Research 60:143–70. [MD]Google Scholar
Dorfman, J., Kihlstrom, J. F. & Shames, V. A. (in preparation) Intuition, incubation, and insight. University of Arizona. [VAS]Google Scholar
Dreyfus, H. (1992) What computers still can't do: A critique of artificial reason. MIT Press. [JP]Google Scholar
Dunbar, K. (1993) Concept discovery in a scientific domain. Cognitive Science 17:397–434. [KD]CrossRefGoogle Scholar
Dunbar, K. (in press) How scientists really reason: Scientific reasoning in real-world laboratories. In: Mechanisms of insight, ed. Sternberg, R. J. & Davidson, J.. MIT Press. [KD]Google Scholar
Dunbar, K. & Schunn, C. D. (1990) The temporal nature of scientific discovery: The roles of priming and analogy. In: Proceedings of the Twelfth Annual Meeting of the Cognitive Science Society, Cambridge, MA: 93–100. [KD]Google Scholar
Dyer, M. G. (1983) In-depth understanding: A computer model of integrated processing for narrative comprehension. MIT Press. [aMAB]CrossRefGoogle Scholar
Elman, J. L. (1991) Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning 7:195–225. [rMAB]CrossRefGoogle Scholar
Elton, M. (1993) Towards artificial creativity. In: Proceedings of LUTCHI symposium on creativity and cognition, ed. Edmonds, E.. University of Loughborough. [aMAB]Google Scholar
Eno, B. & Schmidt, P. (1975) Oblique strategies. Opal. (Limited edition, boxed set of cards.) [rMAB]Google Scholar
Ericcson, K. A. & Simon, H. A. (1993) Protocol analysis: Verbal reports as data. MIT Press. [MFI]CrossRefGoogle Scholar
Eysenck, H. J. (1993) Creativity and personality: Suggestions for a theory. Psychological Inquiry 4:147–78. [DKS]CrossRefGoogle Scholar
Eysenck, H. J. (in press) The measurement of creativity. In: Dimensions of creativity, ed. Boden, M. A.. MIT Press. [rMAB]Google Scholar
Falkenhainer, B., Forbus, K. D. & Gentner, D. (1989) The structure-mapping engine: Algorithm and examples. Artificial Intelligence 41:1–63. [aMAB, BDB]CrossRefGoogle Scholar
Fetzer, J. H. (1988) Mentality and creativity. Journal of Social and Biological Structures 11:82–85. [JHF]CrossRefGoogle Scholar
Fetzer, J. H. (1990) Artificial intelligence: Its scope and limits. Kluwer Academic. [JHF]CrossRefGoogle Scholar
Fetzer, J. H. (1994) Mental algorithms: Are minds computational systems? Pragmatics and Cognition. In press. [JHF]CrossRefGoogle Scholar
Findlay, A. (1965) A hundred years of chemistry, 3rd ed., ed. Williams, T. I.. Duckworth. [aMAB]Google Scholar
Finke, R. A., Ward, T. B. & Smith, S. M. (1992) Creative cognition: Theory, research, applications. MIT Press. [DKS]Google Scholar
Flor, N. & Hutchins, E. (1991) Analyzing distributed cognition in software teams. In: Empirical studies of programmers 4, ed. Koenemann-Belliveau, J., Moher, T. & Robertson, S.. Ablex. [NVF]Google Scholar
Fodor, J. (1981) The present state of the Innateness Controversy. In: Representations: Philosophical essays on the foundations of cognitive science, ed. Fodor, J.. MIT Press. (British edn., Harvester Press.) [RLC, THD]Google Scholar
(1987a) Meaning and the world order. In: Psychosemantics: The problem of meaning in the philosophy of mind. MIT Press. [RLC]Google Scholar
Fodor, J. (1987b) Psychosemantics: The problem of meaning in the philosophy of mind. MIT Press. [THD]CrossRefGoogle Scholar
Fodor, J. (1990a) A theory of content II: The theory. In: A theory of content and other essays. MIT Press. [RLC]Google Scholar
Fodor, J. A. & Z., Pylyshyn (1988) Connectionism and cognitive architecture: A critical analysis. Cognition 28:3–71. [rMAB]CrossRefGoogle ScholarPubMed
Forrest, S. & Miller, J. H. (1991) Emergent behaviour in classifier systems. In: Emergent computation, ed. Forrest, S.. MIT Press. [JR]Google Scholar
Fulford, K. W. M. (1989) Moral theory and medical practice. Cambridge University Press. [KWMF]Google Scholar
Fulford, K. W. M. (1993) Mental illness and the mind-brain problem: Delusion, belief and Searle's theory of intentionality. Theoretical Medicine 14:181–94. [KWMF]CrossRefGoogle ScholarPubMed
Funt, B. V. (1980) Problem-solving with diagrammatic representations. Artificial Intelligence 13:201–30. [rMAB]CrossRefGoogle Scholar
Gabora, L. M. (1993) Meme and variations: A computational model of cultural evolution. Proceedings of the 1993 Santa Fe Institute Complex Systems Summer School. [LMG]Google Scholar
Gardner, H. (1983) Frames of mind: The theory of multiple intelligences. Heinemann. [arMAB]Google Scholar
Gardner, H. (1987) The mind's new science: A history of the cognitive revolution. Basic Books. [DKS]Google Scholar
Gardner, H. (1988) Creative lives and creative works: A synthetic scientific approach. In: The nature of creativity: Contemporary psychological perspectives, ed. Sternberg, R. J.. Cambridge University Press. [CA-P]Google Scholar
Gardner, H. (1993a) Creating minds: An anatomy of creativity seen through the lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham, and Gandhi. Basic Books. [JP]Google Scholar
Gelernter, H. L. (1963) Realization of a geometry theorem-proving machine. In: Computers and thought, ed. Feigenbaum, E. A. & Feldman, J.. McGraw-Hill. [aMAB, MT]Google Scholar
Getzels, J. & Csikszentmihalyi, M. (1976) The creative vision: A longitudinal study of problem finding in art. Wiley. [MFI]Google Scholar
Goodfield, J. (1981) An imagined world: A story of scientific discovery. Harper & Row. [MFI]Google Scholar
Gooding, D. (1990) Experiment and the making of meaning. Kluwer Academic. [MFI]CrossRefGoogle Scholar
Gould, S. J. (1989) Wonderful life: The Burgess shale and the nature of history. Hutchinson Radius. [AG]Google Scholar
Gruber, H. E. (1974) Darwin on man: A psychological study of scientific creativity. Wildwood House. [rMAB]Google Scholar
Gruber, H. E. (1980) Darwin on man: A psychological study of scientific creativity, 2nd ed.University of Chicago Press. [KJG]Google Scholar
Gruber, H. E. (1989) The evolving systems approach to creative work. In: Creative people at work: Twelve cognitive case studies, ed. Wallace, D. B. & Gruber, H. E.. Oxford University Press. [DKS]Google Scholar
Gruber, H. E. & Davis, S. (1988) Inching our way up Mount Olympus: The evolving-systems approach to creative thinking. In: The nature of creativity: Contemporary psychological perspectives, ed. Sternberg, R. J.. Cambridge University Press. [CA-P]Google Scholar
Haase, K. W. (1986) Discovery systems. Proceedings of the European Conference on Artificial Intelligence 1:546–55. [aMAB]Google Scholar
Hadamard, J. (1954) An essay on the psychology of invention in the mathematical field. Dover. [aMAB]Google Scholar
Hodgson, P. (1990) Understanding computing, cognition, and creativity. MSc. thesis, University of the West of England. [aMAB]Google Scholar
Hofstadter, D. R. (1985) Variations on a theme as the crux of creativity. In: Metamagical themas, ed. Hofstadter, D. R.. Basic Books. [CA-P]Google Scholar
Hofstadter, D. R. (1986) On the seeming paradox of mechanising creativity. In: Metamagical themas, ed. Hofstadter, D. R.. Penguin Books. [THD]Google Scholar
Hofstadter, D. R. & McGraw, G. (1993) Letter spirit: An emergent model of the perception and creation of alphabetic style. CRCC Technical Report 68. Center for Research in Concepts and Cognition, Indiana University, Bloomington, IN. [rMAB]Google Scholar
Holland, J. H. (1975) Adaptation in natural and artificial systems. University of Michigan Press. [JR]Google Scholar
Holland, J. H., Holyoak, K. J., Nisbett, R. E. & Thagard, P. R. (1986) Induction: Processes of inference, learning, and discovery. MIT Press. [aMAB]Google Scholar
Holyoak, K. J. & Thagard, P. R. (1989a) Analogical mapping by constraint satisfaction. Cognitive Science 13:295–356. [aMAB, BDB, JP]CrossRefGoogle Scholar
Holyoak, K. J. & Thagard, P. R. (1989b) A computational model of analogical problem solving. In: Similarity and analogical reasoning, ed. Vosniadou, S. & Ortony, A.. Cambridge University Press. [aMAB]Google Scholar
Hsu, F.-H., Ananthataram, T., Campbell, M. & Nowatzyk, A. (1990) A grandmaster chess machine. Scientific American 263:44–54. [BDB]CrossRefGoogle Scholar
Ippolito, M. F. & Tweney, R. D. (in press) The inception of insight. In: Inside insight, ed. Sternberg, R. J. & Davidson, J. E.. MIT Press. [MFI]Google Scholar
Jackson, F. (1982) Epiphenomenal qualia. Philosophical Quarterly 32:127–36. [SB]CrossRefGoogle Scholar
Johnson-Laird, P. N. (1988) Freedom and constraint in creativity. In: The nature of creativity: Contemporary psychological perspectives, ed. Sternberg, R. J.. Cambridge University Press. [AG]Google Scholar
Johnson-Laird, P. N. (1991) Jazz improvisation: A theory at the computational level. In: Representing musical structure, ed. Howell, P., West, R. & Cross, I.. Academic Press. [arMAB]Google Scholar
Jones, E. (1992) Brainstormer: A model of advice taking. Ph.D. dissertation, Yale University. [AR]Google Scholar
Kantorovich, A. (1993) Scientific discovery: Logic and tinkering. State University of New York Press. [DKS]Google Scholar
Karmiloff-Smith, A. (1986) From meta-processes to conscious access: Evidence from children's metalinguistic and repair data. Cognition 23:95–147. [RLC, THD]CrossRefGoogle ScholarPubMed
Karmiloff-Smith, A. (1990) Constraints on representational change: Evidence from children's drawing. Cognition 34:57–83. [THD]CrossRefGoogle ScholarPubMed
Karmiloff-Smith, A. (1992) Beyond modularity: A developmental perspective on cognitive science. MIT Press. [arMAB, RLC, TD]Google Scholar
Karmiloff-Smith, A. (1993) Is creativity domain-specific or domain-general? Clues from normal and abnormal development. Artificial Intelligence and Simulation of Behavior Quarterly, 08. [THD]Google Scholar
Karmiloff-Smith, A. (1994) Multiple book review of Beyond modularity: A developmental perspective on cognitive science. Behavioral and Brain Sciences 17(4). [THD]CrossRefGoogle Scholar
Kemper, S. (1987) Life-span changes in syntactic complexity. Journal of Gerontology 42:323–28. [CA-P]CrossRefGoogle ScholarPubMed
Kemper, S. (1990) Adults' diaries: Changes made to written narratives across the lifespan. Discourse Processes 13:207–24. [CA-P]CrossRefGoogle Scholar
Kemper, S. & Anagnopolous, C. (in press) Linguistic creativity in older adults. In: Creativity and aging: Theoretical and empirical approaches, ed. Adams-Price, C.. Springer. [CA-P]Google Scholar
Klahr, D. & Dunbar, K. (1988) The psychology of scientific discovery: Search in two problem spaces. Cognitive Science 12:1–48. [KD]CrossRefGoogle Scholar
Klahr, D., Fay, A. L. & Dunbar, K. (1993) Heuristics for scientific experimentation: A developmental study. Cognitive Psychology 25:111–46. [KD]CrossRefGoogle ScholarPubMed
Klein, S., Aeschlimann, J. F., Balsiger, D. F., Converse, S. L., Court, C. et al. (1973) Automatic novel writing: A status report. Technical Report 186. Computer Science Department, University of Wisconsin. [aMAB]Google Scholar
Kolodner, J. & Wills, L. (1993) Case-based creative design. AAAI Spring Symposium on AI and Creativity, Stanford, CA, 03. [AR]Google Scholar
Kripke, S. (1971) Naming and necessity. In: Semantics of natural language, ed. Davidson, D. & Harinan, G.. Reidel. [SB]Google Scholar
Kuhn, T. S. (1962) The structure of scientific revolutions. University of Chicago Press. [rMAB]Google Scholar
Kuhn, T. S. (1970) The structure of scientific revolutions, 2nd ed.University of Chicago Press. [AG]Google Scholar
Langley, P. W., Simon, H. A., Bradshaw, C. L. & Zytkow, J. M. (1987) Scientific discovery: An account of the creative process. MIT Press. [aMAB, JMZ]CrossRefGoogle Scholar
Lenat, D. B. (1983) The role of heuristics in learning by discovery: Three case studies. In: Machine learning: An artificial intelligence approach, ed. Michalski, R. S., Carbonell, J. C. & Mitchell, T. M.. Tioga. [arMAB]Google Scholar
Lenat, D. B. & Seely-Brown, J. (1984) Why AM and EURISKO appear to work. Artificial Intelligence Journal 23:269–94. [aMAB]CrossRefGoogle Scholar
J., Livingston Lowes (1951) The road to Xanadu: A study in the ways of the imagination. Constable. [aMAB]Google Scholar
Longuet-Higgins, H. C. (1987) Mental processes: Studies in cognitive science. MIT Press. [arMAB]Google Scholar
Longuet-Higgins, H. C. (in press) The structural determinants of musical expression. In: Artificial intelligence and musical cognition: New breakthroughs or dead ends?, ed. Boden, M. A. & Bundy, A.. Philosophical Transactions of the Royal Society, London: A, 11, 1994. [aMAB]Google Scholar
Lovelace, A. (1953) Notes on Manabrea's sketch of the analytical engine invented by Charles Babbage. In: Faster than thought, ed. Bowden, B. V.. Pitman. [aMAB]Google Scholar
Maes, P., ed. (1991) Designing autonomous agents: Theory and practice from biology to engineering and back. MIT Press. [rMAB]Google Scholar
Malcolm, N. (1971) The myth of cognitive processes and structures. In: Cognitive development and epistemology, ed. Mischel, T.. Academic Press. [rMAB]Google Scholar
Martindale, C. (1990) The clockwork muse: The predictability of artistic styles. Basic Books. [DKS]Google Scholar
Masterman, M. & R., McKinnon Wood (1968) Computerized Japanese haiku. In: Cybernetic serendipity, ed. Reichardt, J.. Studio International. [aMAB]Google Scholar
Meehan, J. (1981) TALE-SPIN. In: Inside computer understanding: Five programs plus miniatures, ed. Schank, R. C. & Riesbeck, C. J.. Erlbaum. [aMAB]Google Scholar
Mellor, C. S. (1970) First rank symptoms of schizophrenia: I. The frequency of schizophrenics on admission to hospital; II. Differences between individual first rank symptoms. British Journal of Psychiatry 117:15–23. [KWMF]CrossRefGoogle Scholar
Metcalfe, J. & Wiebe, D. (1987) Intuition in insight and noninsight problem solving. Memory & Cognition 15:238–46. [VAS]CrossRefGoogle ScholarPubMed
Michalski, R. S. & Chilausky, R. L. (1980) Learning by being told and learning from examples: An experimental comparison of two methods of knowledge acquisition in the context of developing an expert system for soybean disease diagnosis. International Journal of Policy Analysis and Information Systems 4:125–61. [aMAB]Google Scholar
Michie, D. & Johnston, R. (1984) The creative computer: Machine intelligence and human knowledge. Viking. [aMAB]Google Scholar
Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K. & Tengi, R. (1990) Five papers on WordNet. International Journal of Lexicography 3:235–312. [JP]CrossRefGoogle Scholar
Millikan, R. G. (1984) Language, thought, and other biological categories: New foundations for realism. MIT Press. [rMAB]CrossRefGoogle Scholar
Moorman, K. & Ram, A. (1994) A functional theory of creative reading, Psycgrad Journal, in press. (Also available as Technical Report GIT CC-94/01, College of Computing, Georgia Institute of Technology, Atlanta, GA.) [AR]Google Scholar
Mozer, M. & Smolensky, P. (1989) Using relevance to reduce network size automatically. Connection Science 1:3–17. [rMAB]CrossRefGoogle Scholar
Nagel, T. (1974) What is it like to be a bat? Philosophical Review 83:435–50. [SB]CrossRefGoogle Scholar
Nersessian, N. (1993) In the theoretician's laboratory: Thought experimenting as mental modeling. In: PSA 1992, vol. 2, ed. Hull, D., Forbes, M. & Okruhlik, K.. PSA. [AR]Google Scholar
Newell, A. & Simon, H. A. (1976) Computer science as empirical enquiry: Symbol and search. Communications of the Association for Computing Machinery 19. (Reprinted in: The philosophy of artificial intelligence, ed. M. A. Boden. Oxford University Press.) [rMAB]CrossRefGoogle Scholar
Oatley, K. & Johnson-Laird, P. N. (1987) A cognitive theory of emotions. Cognition and Emotion 1:29–50. [rMAB]CrossRefGoogle Scholar
Ochse, R. E. (1990) Before the gates of excellence. The determinants of creative genius. Cambridge University Press. [RWW]Google Scholar
Partridge, D. & Rowe, J. (in press) Computers and. creativity. Intellect Books. [THD, JR]Google Scholar
Perkins, D. N. (1981) The mind's best work. Harvard University Press. [aMAB, AC, DKS]CrossRefGoogle Scholar
Perkins, D. N. (1985) Novel remote analogies seldom contribute to discovery. Journal of Creative Behavior 17:223–39. [RWW]CrossRefGoogle Scholar
Pind, J., Magnússon, F. & Briem, S. (1991) Islensk ordtidnibók [Icelandic frequency dictionary]. Institute of Lexicography. [JP]Google Scholar
Pind, J., Magnússon, F. & Briem, S. (1993) Frequency dictionary of Icelandic. Technical Report 4. Institute of Lexicography. [JP]Google Scholar
Plunkett, K. & Sinha, C. (1992) Connectionism and developmental theory. British Journal of Developmental Psychology 10:209–54. [rMAB]CrossRefGoogle Scholar
Poincaré, H. (1913/1952) Mathematical creation. In: The foundations of science. (trans. Halsted, G. B..) The Science Press. (Reprinted in: The creative process, ed. B. Ghiselin. New American Library.) [RWW]Google Scholar
Poincaré, H. (1982) The foundations of science: Science and hypothesis, the value of science, science and method. University Press of America. [aMAB]Google Scholar
Popper, K. R. (1974) Conjectures and refutations: The growth of scientific knowledge, 5th ed.Routledge. [rMAB]Google Scholar
Port, R. & van Gelder, T, ed. (in press) Mind as motion: Dynamics, behavior and cognition. MIT Press. [rMAB]CrossRefGoogle Scholar
Pylyshyn, Z. W. (1984) Computation and cognition: Toward a foundation for cognitive science. MIT Press. [KR]Google Scholar
Qin, Y. & Simon, H. A. (1990) Laboratory replication of scientific discovery processes. Cognitive Science 14:281–312. [GG]CrossRefGoogle Scholar
Raijmakers, M. E. J. & Molenaar, P. C. M. (1993) Catastrophic phase transitions in exact ART networks. In: ICANN '93: Proceedings of the International Conference on Artificial Neural Networks, Amsterdam. Springer-Verlag. [HLJM]Google Scholar
Ram, A. (1993) Creative conceptual change. Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, Boulder, CO: 17–26. [AR]Google Scholar
Ritchie, G. D. & Hanna, F. K. (1984) AM: A case study in AI methodology. AI Journal 23:249–63. [aMAB]Google Scholar
Rowe, J. (1991) Emergent creativity: A computational study. Ph.D. dissertation, Computer Science Department, University of Exeter, England. [JR]Google Scholar
Rowe, J. & Partridge, D. (1992) Creativity: Learning flexible representations through emergent memory. Research Report no. 215, Department of Computer Science, University of Exeter, England. [THD]Google Scholar
Rowe, J. & Partridge, D. (1993) Creativity: A survey of AI approaches. Artificial Intelligence Review 7:43–70. [aMAB]CrossRefGoogle Scholar
Schaffer, S. (1994) Making up discovery. In: Dimensions of creativity, ed. Boden, M. A.. MIT Press. [arMAB]Google Scholar
Searle, J. R. (1980) Minds, brains, and programs. Behavioral and Brain Sciences 3(3):417–59. [arMAB, SB, RLC, MFI]CrossRefGoogle Scholar
Seidenberg, M. S. (1993) Connectionist models and cognitive theory. Psychological Science 4:228–35. [RWW]CrossRefGoogle Scholar
Shames, V. A. & Bowers, P. G. (1992) Hypnosis and creativity. In: Contemporary hypnosis research, ed. Fromm, E. & Nash, M. R.. Guilford Press. [VAS]Google Scholar
Simon, H. A. (1955) On a class of skew distribution functions. Biometrika 42:425–40. [DKS]CrossRefGoogle Scholar
Simon, H. A. (1966) Scientific discovery and the psychology of problem solving. In: Mind and cosmos: Essays in contemporary science and philosophy, ed. Colodny, R. G.. University of Pittsburgh Press. [KJG]Google Scholar
Simonton, D. K. (1984a) Artistic creativity and interpersonal relationships across and within generations. Journal of Personality and Social Psychology 46:1273–86. [DKS]CrossRefGoogle Scholar
Simonton, D. K. (1984b) Genius, creativity, and leadership: Historiometric inquiries. Harvard University Press. [CA-P, DKS]CrossRefGoogle Scholar
Simonton, D. K. (1988) Scientific genius: A psychology of science. Cambridge University Press. [DKS]Google Scholar
Simonton, D. K. (1990) Creativity and wisdom in aging. In: Handbook of the psychology of aging, 3rd ed., ed. Birren, J. E. & Schaie, K. W.. Academic Press. [CAP]Google Scholar
Simonton, D. K. (1992) The social context of career success arid course for 2,026 scientists and inventors. Personality and Social Psychology Bulletin 18:452–63. [DKS]CrossRefGoogle Scholar
Simonton, D. K. (1993) Genius and chance: A Darwinian perspective. In: Creativity: The reality club IV, ed. Brockman, J.. Simon & Schuster. [DKS]Google Scholar
Simonton, D. K. (1994) Foresight in insight? A Darwinian answer. In: The nature of insight, ed. Sternberg, R. J. & Davidson, J. E.. MIT Press. [DKS]Google Scholar
Sims, K. (1991) Artificial evolution for computer graphics. Computer Graphics 25(4):319–28. [aMAB]CrossRefGoogle Scholar
Sloman, A. (1986) What sorts of machines can understand the symbols they use? Proceedings of the Aristotelian Society, Supplementary Volume, 60:61–80. [aMAB]CrossRefGoogle Scholar
Sloman, A. (1987) Motives, mechanisms, and emotions. Cognition and Emotion 1:217–33. (Reprinted 1990 in: The philosophy of artificial intelligence, ed. M. A. Boden. Oxford University Press.) [arMAB]CrossRefGoogle Scholar
Smith, B. C. (1982) Reflection and semantics in a procedural language. Ph.D. dissertation, Massachusetts Institute of Technology, and Technical Report LCS/TR-272. [rMAB]Google Scholar
Smith, S. M. & Blankenship, S. E. (1991) Incubation and the persistence of fixation in problem solving. American Journal of Psychology 104:61–87. [VAS]CrossRefGoogle ScholarPubMed
Sternberg, R. J., ed. (1988) The nature of creativity: Contemporary psychological perspectives. Cambridge University Press. [rMAB]Google Scholar
Sternberg, R. J., ed. (1989) Computational models of scientific discovery: Do they compute? [Review of Scientific discovery: Computational explorations of the creative process.] Contemporary Psychology 34:895–97. [DKS]CrossRefGoogle Scholar
Sternberg, R. J. & Lubart, T. I. (1991) An investment theory of creativity and its development. Human Development 34:1–31. [RJS]CrossRefGoogle Scholar
Sternberg, R. J. & Lubart, T. I. (1992) Buy low and sell high: An investment approach to creativity. Current Directions in Psychological Science 1(1):1–5. [RJS]CrossRefGoogle Scholar
Sternberg, R. J. & Lubart, T. I. (in press) Buy low, sell high: An investment theory of creativity. Free Press. [RJS]Google Scholar
Taylor, C. W. (1988) Various approaches to and definitions of creativity. In: The nature of creativity: Contemporary psychological perspectives, ed. Sternberg, R. J.. Cambridge University Press. [aMAB]Google Scholar
Thagard, P. R. (1992) Conceptual revolutions. Princeton University Press. [aMAB]CrossRefGoogle Scholar
Thagard, P. R., Holyoak, K. J., Nelson, G. & Gochfeld, D. (1990) Analog retrieval by constraint satisfaction. Artificial Intelligence 46:259–310. [BDB]CrossRefGoogle Scholar
Turner, S. (1992) MINSTREL: A model of story-telling and creativity. Technical note UCLA-AI-17–92. AI Laboratory, University of California at Los Angeles. [arMAB]Google Scholar
Tweney, R. D. (1990) Five questions for computationalists. In: Computational models of scientific discovery and theory information, ed. Shrager, J. & Langley, P.. Kaufmann. [DKS]Google Scholar
Tweney, R. D. (1992) Stopping time: Faraday and the scientific creation of perceptual order. Physis 29:149–64. [MFI]Google Scholar
Tweney, R. D. (in press) Shifting sands: Sight and sound in Faraday's acoustical researches. In: Sensation and experience: Essays on the changing role of sense experience in the history of science, ed. Gooding, D.. University of Chicago Press. [MFI]Google Scholar
van der Maas, H. L. J. & Molenaar, P. C. M. (1992) Stagewise cognitive development: An application of catastrophe theory. Psychological Review 99(3):395–417. [HLJM]CrossRefGoogle ScholarPubMed
van der Maas, H. L. J., Walma van der Molen, J. & Molenaar, P. C. M. (1994) Discontinuity in conservation acquisition: A longitudinal experiment. Submitted. [HLJM]Google Scholar
Vera, A. H. & Simon, H. A. (1993a) Situated action: A symbolic interpretation. Cognitive Science 17:7–48. [RLC]CrossRefGoogle Scholar
Vera, A. H. & Simon, H. A. (1993b) Situated action: Reply to William Clancey. Cognitive Science 17:117–33. [RLC]CrossRefGoogle Scholar
Weiland, S. (1993) Criticism between literature and gerontology. In: Voices and visions of aging: Toward a critical gerontology, ed. Cole, T. R., Achenbaum, W. A., Jakobi, P. L. & Kastenbaum, R.. Springer. [CA-P]Google Scholar
Wickelgren, W. A. (1974) How to solve problems: Elements of a theory of problems and problem solving. Freeman. [BDB]Google Scholar
Wilkes, K. V. (1988) Real people: Personal identity without thought experiments. Clarendon. [KWMF]Google Scholar
Wos, L. (1993) Automated reasoning answers open questions. Notices of the AMS 5(1): 15–26. [AB]Google Scholar
Wos, L., Winker, S., Veroff, R., Smith, B. & Henschen, L. (1983) Questions concerning possible shortest single axioms for equivalential calculus: An application of automated theorem proving to infinite domains. Notre Dame Journal of Formal Logic 24(2):205–23. [AB]Google Scholar
Yaniv, I. & Meyer, D. E. (1987) Activation and metacognition of inaccessible stored information: Potential bases for incubation effects in problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition 13:187–205. [VAS]Google ScholarPubMed
Zembowicz, R. & Zytkow, J. M. (1992) Discovery of equations: Experimental evaluation of convergence. Proceedings of the Tenth National Conference on Artificial Intelligence: 70–75. The AAAI Press. [JMZ]Google Scholar