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Kognitive Modellierung: Menschliche Wissensrepräsentationen und Verarbeitungsstrategien

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Künstliche Intelligenz

Part of the book series: Informatik-Fachberichte ((2252,volume 159))

Abstract

In diesem Kapitel wird Kognitive Modellierung als ein interdisziplinäres Forschungsgebiet vorgestellt, das sich mit der Entwicldung von computerimplementierbaren Modellen beschäftigt, in denen wesentliche Eigenschaften des Wissens und der Infonnationsverarbeitung beim Menschen abgebildet sind. Nach einem allgemeinen Überblick über Zielsetzungen, Methoden und Vorgehensweisen, die sich auf den Gebieten der kognitiven Psychologie und der Künstlichen Intelligenz entwickelt haben, sowie der Darstellung eines Theorierabmens werden vier Modelle detaillierter besprochen: In einem Lernmodell, das in einem Intelligenten Tutoriellen System Anwendung findet und in einem Perfonnanz-Modell der Mensch-Computer- Interaktion wird menschliches Handlungswissen beschrieben. Die heiden anderen Modelle zum Textverstehen und zur flexiblen Gedächtnisorganisation beziehen sich demgegenüber vor allem auf den Aufbau und Abruf deklarativen Wissens. Abschließend werden die vorgestellten Modelle in die historische Entwicldung eingeordnet. Möglichkeiten und Grenzen der Kognitiven Modellierung werden hinsichtlich interessant erscheinender Weiterentwicklungen diskutiert.

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Bibliographie

  1. Ackennann, D., A Pilot Study on the Effects of Individualization in ManComputer-Interaction, Proceedings 2nd IFAC-IFIP-IFORS-lEA Conference on Analysis, Design, and Evaluation of Man-Machine-Systems, Varese 1985. Pergamon Press. (London, 1986)

    Google Scholar 

  2. Anderson, I.R., The architecture of cognition, Harvard University Press (Cambridge, Mass., London, 1983)

    Google Scholar 

  3. Anderson, I.R., Farrell, R., and Sa~, R., Learning to program in LISP, Cognitive Science 8 (1984) pp. 87–129

    Article  Google Scholar 

  4. Anderson, J.R., Boyle, C.B., and Reiser, BJ., Intelligent tutoring systems, Science 228 (1985) pp. 456–462

    Article  Google Scholar 

  5. Banerij, R.B., GPS and the psychology of the Rubik cubist: A study in reasoning about actions, Elithorn and Banerij (cds.) Artificial and human intelligence, North Holland (Amsterdam, 1984) pp. 67–79

    Google Scholar 

  6. Bower, G.H., Black, J.B., and Turner, T J., Scripts in memory for text, Cognitive Psychology 11 (1979) pp. 177–220

    Article  Google Scholar 

  7. Card, S.K., Moran, T.P., and Newell, A., The psychology of human-computer interaction, Erlbaum (Hillsdale NJ, 1983)

    Google Scholar 

  8. Chamiak, E. and McDennott, D., Introduction to artificial intelligence, Addison-Wesley Publishing Company (Reading, Mass., 1985)

    Google Scholar 

  9. Chase, W.G. and Ericsson, KA., Skill and working memory, Bower (cd.) The Psychology of learning and motivation, Academic Press 16 (New York, 1982)

    Google Scholar 

  10. Chomsky, A.N., Syntactic structures, Mouton (The Hague, 1957)

    Google Scholar 

  11. Church, A., An unsolvable problem of elementary number theory, American Journal of Mathematics 58 (1936) pp. 345–363

    Article  MathSciNet  Google Scholar 

  12. Cohen, P.R. and Feigenbaum, EA., Models of cognition, P.R. Cohen and E.A. Feigenbaum (cds.), The handbook of artificial intelligence, Pitman 3 (London, 1983) pp. 1–74

    Google Scholar 

  13. van Dijk,T A. and Kintsch,W., Strategies of Discourse Comprehension, Academic Press (New York, 1983)

    Google Scholar 

  14. de Groot, A., Perception and memory versus thought: some old ideas and recent findings, B. Kleinmuntz (cd.) Problem solving, Wiley (New York, 1966)

    Google Scholar 

  15. De Jong,G., Prediction and substantiation: A new approach to natural language processing, Cognitive Science 3 (1979) pp. 251–273

    Article  Google Scholar 

  16. Ericsson, K.A. and Simon, H.A., Verbal reports as data, Psychological Review 87 (1980) pp. 215–251

    Article  Google Scholar 

  17. Ernst, G.W. and Newell, A., GPS: A case study in generality and problem solving, Academic Press (New York, 1969)

    Google Scholar 

  18. Feldman,J.A. and Ballard,D.H., Connectionist Models and their Properties, Cognitive Science 6 (1982) pp. 205–254

    Google Scholar 

  19. Fletcher, C.R., Short-term memory processes in text comprehension, Journal of Verbal Learning and Verbal Behavior 20 (198l) pp. 564–574

    Google Scholar 

  20. Fodor, J.A., Bever, T.G., and Garrett, M.F., The psychology oflanguage, McGraw-Hill (New York, 1974)

    Google Scholar 

  21. Frese, M., A Theory of Control: Implications for Software Design and Training for Computer Aided Work, Universitat Muenchen, Institut fUr Psychologie, Bereich Organisations-und Wirtschaftspsychologie 1 (1985)

    Google Scholar 

  22. Goetz,E.T. and Anderson,R.C. and Schallert,D.L., The representation of sentences in memory, Journal of verbal Learning and verbal Behavior 20 (1981) pp. 369–385

    Google Scholar 

  23. GRAPES user’s manual, Advanced Computer Tutoring, Inc. (Pittsburgh, 1984)

    Google Scholar 

  24. Groen,G.J. and Frederiksen,C.H. and Dillinger,M.L., A propositional analyst’s assistant, Behavior Research Methods and Instrumentation 16(2) (1985) pp. 154–157

    Google Scholar 

  25. Hopcroft, J.E. and Ullman, J.D., Introduction to Automata Theory, Languages, and Computation, Addison-Wesley (Reading, Mass., 1979)

    Google Scholar 

  26. Kieras, D. and Polson P.G., An approach to the formal analysis of user complexity, International Journal of Man-Machine Studies 22 (1985) pp. 365–394

    Article  Google Scholar 

  27. Kintsch, W. and van Dijk, T.A., Toward a model of text comprehension and production, Psychological Review 8S (1978) pp. 363–394

    Article  Google Scholar 

  28. Kintsch,W. and Greeno,J.G., Understanding and solving word arithmetic problems, Psychological Review 92 (1985) pp.109–129

    Google Scholar 

  29. Kolodner, J.L., Maintaining organization in a dynamic long-term memory, Cognitive Science 7 (1983) pp. 243–280

    Article  Google Scholar 

  30. Kolodner, J.L., Reconstructive memory: A computer model, Cognitive Science 7 (1983) pp. 281–328

    Article  Google Scholar 

  31. [Kolodner_86) Kolodner, J.L., Experimental processes in natural problem solving, Manuscript submitted for publication

    Google Scholar 

  32. Lachman, R., Lachman, J.L., and Butterfield, E.C., Cognitive psychology and information processing: An introduction, Wiley (New York, 1979)

    Google Scholar 

  33. Lehnert,W.G. and Robertson,S.P. and Black,J.P., Memory Interactions during Question Answering, in: Learning and Comprehension of Text, Mandl,H. et.al.(Hrsg)., Lawrence Erlbaum (Hillsdale,New Jersey, 1984)

    Google Scholar 

  34. McDermott, J., R1: A rule-based configurer of computer systems, Artificial Intelligence 19 (1982) pp. 39–88

    Article  Google Scholar 

  35. McKoon,G. and Ratcliff,R., Priming in Item Recognition: The Organization of Propositions in Memory for Text, Journal of verbal Learning and verbal Behavior 19 (1980) pp. 369–386

    Google Scholar 

  36. Michalski, R.S., Carbonnel, J.G., and Mitchel, T.M. (eds.), Machine Learning, Springer (Berlin, 1984)

    Google Scholar 

  37. Miller, G.A., The magical nwnber seven, plus or minus two: some limits on our capacity for processing information, Psychological Review 63 (1956) pp. 81–97

    Article  Google Scholar 

  38. Miller, G.A. and McKean, K.O., A chronometric study of some relations between sentences, Quarterly J. Experimental Psychology 16 (1964) pp. 297–308

    Google Scholar 

  39. Miller, G.A. and Johnson-Laird, P.N., Language and perception, Harvard Univ. Press (Cambridge Mass, 1976)

    Google Scholar 

  40. Miller, L., Has artificial intelligence contributed to an understanding of the human mind?, Cognitive Science 2 (1978) pp. 111–127

    Article  Google Scholar 

  41. Miller, J.R. and Kintsch, W., Readability and recall of short prose passages: A theoretical analysis, Journal of Experimental Psychology: Human Learning and Memory 6 (1980) pp. 335–354

    Article  Google Scholar 

  42. Minsky, M.L., Computation: Finite and infinite machines, Prentice Hall (Englewood Cliffs NJ, 1967)

    MATH  Google Scholar 

  43. Mitchel, T.M., Towards combining empirical and analytical methods for inferring heuristics, Elithom and Banerij (eds.) Artificial and human intelligence, North Holland (Amsterdam, 1984) pp. 81–103

    Google Scholar 

  44. Moran, T.P., The Command Language Grammar: a representation for the user interface of interactive computer systems, Int. J. Man-Machine Studies 15 (1981) pp. 3–50

    Article  Google Scholar 

  45. Muthig, K.P., HGedachtnis· im Labor vs “Behalten” und “Erinnem” in natiirlichen Umgebungen, Day, P., Fuhrer, U. und Laucken, U. (Hrsg.), Umwelt und Handeln: Okologische Anforderungen und Handeln im Alltag. Attempto-Verlag (Tuebingen, 1985) pp. 334–348

    Google Scholar 

  46. Newell, A. and Simon, H.A., The logic theory machine: A complex information processing system, Transactions on information theory (Institute of Radio Engineers) IT-2 (1956) pp. 61–79

    Google Scholar 

  47. Newell, A., Shaw, J.C., and Simon, H.A., Preliminary description of the general problem solving program I (GPS I), CIP working paper No 7, December (1957)

    Google Scholar 

  48. Newell, A. and Simon, H.A., Human Problem Solving, Prentice Hall (Englewood Cliffs NJ, 1972)

    Google Scholar 

  49. Nisbett, R.E. and Wilson, T.D., Telling more than we can know: verbal reports on mental processes, Psychological Review 84 (1977) pp. 231–259

    Google Scholar 

  50. Norman, D.A., Rwnelhart, D.E., and the LNR Research Group, Explorations in cognition, Freeman (San Francisco, 1975)

    Google Scholar 

  51. Polson, P.G., Vortrag am Fraunhofer-Institut lAO, (Stuttgart, August 1985)

    Google Scholar 

  52. Polson, P.G., A quantitative theory of human computer interaction, erscheint in: Carrol, J.M. (ed.), Cognitive Aspects of Human-Computer-Interaction

    Google Scholar 

  53. Popper, K.R., Logik der Forschung, Mohr (Tuebingen, 1966)

    Google Scholar 

  54. Post, E.L., Finite combinatory processes -Formulation I, Journal of Symbolic Logic 1 (1936) pp. 103–105

    Article  MATH  Google Scholar 

  55. Ratcliff,R. and McKoon,B., Priming in item recognition: Evidence for the propositional structure of sentences, Journal of verbal Learning and verbal Behavior 17 (1978) pp. 403–418

    Article  Google Scholar 

  56. Reiser, BJ., Anderson, J.R., and Farren, R.G., Dynamic student modelling in an intelligent tutor for LISP programming, Proceedings of Ninth International Joint Conference on Artificial Intelligence (Los Angeles, 1985)

    Google Scholar 

  57. Rosenbloom, P.S., Laird, J.E., McDeonott, J., Newell, A., and Orciuch, E., RI-Soar: An experiment in knowledge-intensive programming in a problem-solving architecture, IEEE Transact. Pattern Analysis and Machine Intelligence PAMI-7 (1985) pp. 561–569

    Google Scholar 

  58. Rumelhart, D.E., Lindsay, P.H., and Norman. D.A., A process-model for human long-teon memory, Tulving, E. and Donaldson, W. (eds.), Organisation of memory, Academic Press (New York, 1972)

    Google Scholar 

  59. Schank, R.C. and Tesler, L., A conceptual parser for natural language, Proc. IJCAI Washington DC (1969)

    Google Scholar 

  60. Schank, R.C., Conceptual Information Processing, North Holland (Amsterdam, 1975)

    Google Scholar 

  61. Schank, R.C. and Abelson, R.P., Scripts, plans, goals, and understanding, Erlbaum (Hillsdale NJ, 1977)

    Google Scholar 

  62. Schank, R.C., Language and Memory, Cognitive Science 4 (1980) pp. 243–284

    Article  Google Scholar 

  63. Schmalhofer,F., Text processn;gwith and without Prior Domain Knowledge: Knowledgeversus Heuristic-Dependent Representations, Bericht aus dem Psychologischen Institut der Universitat Heidelberg, Diskussionspapier Nr. 32 (1983)

    Google Scholar 

  64. Schmalhofer, F. and Glavanov, D., Three components of understanding a programmer’s manual: Verbatim, propositional, and situational representations, Journal of Memory and Language 25 (1986) pp. 279–294

    Article  Google Scholar 

  65. Schmalhofer,F. and Schiifer,I., Lautes Denken bei der Wahl zwischen benannt und beschrieben dargebotenen Wahlalternativen, Sprache und Kognition 2 (1986) pp. 73–81

    Google Scholar 

  66. Schmalhofer,F., The construction of programming knowledge from system explorations and explanatory text: a cognitive model, in: Rollinger,C. und Hom, W. GWAI-86 und 2. Oesterreichische Artificial Intelligence Tagung, Springer-Verlag (Heidelberg, 1986) pp. 152–163

    Google Scholar 

  67. Siekmann, J.H., Einfuehrung in die kuenstliche Intelligenz, Bibel, W.Siekmann, J.H.: Kuenst1iche Intelligenz Fruehjahrsschule, Teisendorf, Maerz 1982 (Berlin, 1982) pp. 1–60

    Google Scholar 

  68. Sleeman, D. and Brown, J.S., Intelligent tutoring systems, Academic Press (London, 1982)

    Google Scholar 

  69. Spada, H. and Opwis, K., Intelligente Tutorielle Systeme aus psychologischer Sicht, H. Mandl and P.M. Fischer (eds.), Lemen im Dialog mit dem Computer, Urban Schwarzenberg (Muenchen, 1985) pp. 13–23

    Google Scholar 

  70. Sternberg, S., Memory Scanning: Mental Processes Revealed by Reaction-Time Experiments, American Scientist 57 (1969)

    Google Scholar 

  71. Swinney, D.A., Lexical access during sentence comprehension: (re)consideration of context, effects, Journal of Verbal Learning and Verbal Behaviour 18 (1979) pp. 645–659

    Google Scholar 

  72. Swinney, D.A., Theoretical and methodological issues in cognitive science: A psycholinguistic perspective, Kintsch, W., Miller, J.R., and Polson, P.G. (eds.), Method and tactics in cognitive science, Erlbaum (Hillsdale, NJ., 1984) pp. 217–233

    Google Scholar 

  73. Turing, A.M., Computing machinery and intelligence, Feigenbaum and Feldman (eds.), Computers and thought, McGraw-Hill (New York, 1963) pp. 1–35

    Google Scholar 

  74. Tumer,A. and Greene,E., The construction and the use of a propositional text base, Technical Report No.63, April 1977, Institute for the Study of Intellectual Behavior. University of Colorado (1977)

    Google Scholar 

  75. Wahlster, W., Natuerlichsprachliche Systeme: Eine Einfuebrung in die sprachorientierte KI-Forschung, Bibel, W.Siekmann, J.H.: Kuenstliche Intelligenz Fruehjahrsschule, Teisendorf, Maerz 1982 (Berlin, 1982) pp. 203–283

    Google Scholar 

  76. Weber, G. and Wender, K., Modellierung episodischen Wtssens in einem LISP-Tutor, Vortrag beim Workshop ‘Modellierung von Programmierwissen’ (Marburg, 22. -24.5.1986)

    Google Scholar 

  77. A framework for modelling the knowledge and behaviour of occasional users of application software, 3rd Symposium on Empirical Foundations of Infonnation and Software Sciences (EFISS), Risoe, October 1985, Proceedings, to appear (Plenum Press) (1985)

    Google Scholar 

  78. Wmston, P.H., Artificial intelligence, Addison-Wesley (Reading, Mass., 1984)

    Google Scholar 

  79. Ziegler, J.E., Hoppe, H.U., and Faehnrich, K.P., Learning and transfer for text and graphics editing with a direct manipulation interface, In: Proc. CHI ’86, Human factors in computing systems (Boston, 1986) pp. 72–77

    Google Scholar 

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Authors
  1. Franz Schmalhofer
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  2. Thomas Wetter
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Editors and Affiliations

  1. Forschungsgruppe Expertensysteme, Gesellschaft für Mathematik und Datenverarbeitung mbH, Schloß Birlinghoven, Postfach 1240, 5205, Sankt Augustin 1, Deutschland

    Thomas Christaller

  2. Forschungsgruppe Mensch—Maschine—Kommunikation, Gesellschaft für Mathematik und Datenverarbeitung mbH, Schloß Birlinghoven, Postfach 1240, 5205, Sankt Augustin 1, Deutschland

    Hans-Werner Hein

  3. Fachbereich Informatik, Universität Kaiserslautern, Postfach 3049, 6750, Kaiserslautern, Deutschland

    Michael M. Richter

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Schmalhofer, F., Wetter, T. (1988). Kognitive Modellierung: Menschliche Wissensrepräsentationen und Verarbeitungsstrategien. In: Christaller, T., Hein, HW., Richter, M.M. (eds) Künstliche Intelligenz. Informatik-Fachberichte, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73405-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-73405-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

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