Skip to main content
Log in

Dynamische Konzeptverarbeitung mit imaginalen und assoziativen Strukturen

Dynamic concept processing with imaginal and associative structures

  • Published:
Kognitionswissenschaft

Summary

This article presents the cooperation between an informatics and a psycholinguistic approach for modeling dynamic concept processing. As a new approach to object classification, imaginal prototypes are included in the categorical representation of the informatics framework. Objects are classified in a robust and flexible manner by gradually refined geometric shape descriptions. The psycholinguistic approach details a process model which uses the dynamics of recurrent connectionist networks to deduce and test hypotheses of temporal flow within conceptualization processes. Separation of the network into imaginal and associative subnetworks proves empirically adequate. Integration of the informatics and psycholinguistic frameworks offers a hybrid approach of dynamic concept processing.

Zusammenfassung

Diese Arbeit stellt die Kooperation eines informatischen und eines psycholinguistischen Ansatzes bei der Modellierung dynamischer Konzeptverarbeitung vor. Im informatischen Teil werden zum Zweck formbasierter Objektklassifikation imaginale Prototypen in die kategoriale Repräsentation einbezogen. Objekte werden durch sukzessive Verfeinerung geometrischer Formmodelle flexibel und robust klassifiziert. Im psycholinguistischen Ansatz wird ein Prozeßmodell entwickelt, das die Dynamik rekurrenter konnektionistischer Netze nutzt, um Hypothesen zu zeitlichen Verläufen von Konzeptualisierungsprozessen abzuleiten und sie experimentell zu prüfen. Dabei erweist sich eine Trennung in imaginale und assoziative Subnetze als empirisch adäquat. Die Verbindung zwischen den beiden Ansätzen zielt auf einen hybriden Ansatz der Modellierung dynamischer Konzeptverarbeitung ab.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literatur

  • Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94(2), 115–147.

    Article  Google Scholar 

  • Block, N. (Hrsg.). (1982). Imagery. Cambridge (MA): MIT Press.

  • Blum, H. & Nagel, R. N. (1978). Shape description using weighted symmetric axis features. Pattern Recognition, 10, 167–180.

    Article  MATH  Google Scholar 

  • Brooks, R. A. (1984). Model-based computer vision. Ann Arbor, Michigan: UMI Research Press.

    Google Scholar 

  • Chandrasekaran, B. & Simon, H. (1992). Reasoning with diagrammatic representations (Tech. Rep. SS-92-02). Menlo Park (CA).

  • Engelkamp, J. (1983). Word meaning and word recognition. In Seiler, T.B. & Wannemacher, W. (Eds.), Concept development and the development of word meaning. Berlin: Springer.

    Google Scholar 

  • Ferryman, J. M., Worrall, A. D., Sullivan, G. D., & Baker, K. D. (1995). A generic deformable model for vehicle recognition. In Proceedings of British Machine Vision Conference (S. 127-136). University of Birmingham.

  • Fodor, J. & McLaughlin, B. P. (1990). Connectionism and the problem of systematicity: Why Smolensky’s solution doesn’t work. Cognition, 35, 183–204.

    Article  Google Scholar 

  • Glasgow, J., Narayanan, N. & Chandrasekaran, B. (1995). Diagrammatic reasoning: Cognitive and computational perspectives. Menlo Park (CA): AAAI Press.

    Google Scholar 

  • Goebel, R. (1991). Binding, episodic short-term memory, and selective attention, or why are pdp models poor at symbol manipulation. In Connectionist models. Proceedings of the 1991 Summer School (S. 253–264).Morgan Kaufmann: San Mateo.

    Google Scholar 

  • Herrmann, T. & Grabowski, J. (1994). Sprechen, Psychologie der Sprachproduktion. Heidelberg: Spektrum Akademischer Verlag.

    Google Scholar 

  • Herrmann, T., Grabowski, J., Schweizer, K. & Graf, R. (1996). Die mentale Repr sentation von Konzepten, W rtern und Figuren. In Grabowski, J., Harras, G. & Herrmann, T. (Hrsg.) Bedeutung — Konzepte, Bedeutungs-Konzepte. Opladen: Westdeutscher Verl

    Google Scholar 

  • Hoffhenke, M. & Wachsmuth, I. (1997). Dynamische Konzeptualisierung mit imaginalen Prototypen (Tech. Rep. Nr. SFB 360 Report 97/9). Universität Bielefeld.

  • Hummel, J. E. (1998). Where view-based theories break down: The role of structure in shape perception and object recognition. In Dietrich, E. & Markman, A. (Eds.), Cognitive dynamics: Conceptual change in humans and machines. Cambridge, MA: MIT Press.

    Google Scholar 

  • Jung, B. (1997). Wissensverarbeitung f r Montageaufgaben in virtuellen und realen Umgebungen (Bd. 157) Sankt Augustin, Germany: infix.

  • Jung, B., Hoffhenke, M. & Wachsmuth, I. (1998). Virtual assembly with construction kits. In Proceedings of the 1998 ASME Design for Engineering Technical Conferences (DECT-DFM ’98). Sacramento (CA).

  • Kessler, K. & Rickheit, G. (1999). Dynamische Konzeptgenerierung in konnektionistischen Netzen: Begriffskl rung, Modellvorstellungen zur Szenenrekonstruktion und experimentelle Ergebnisse. Kognitionswissenschaft, 8(2), 74–96.

    Article  Google Scholar 

  • Klix, F. (1980). Die allgemeine Psychologie und die Erforschung kognitiver Prozesse. Zeitschrift f r Psychologie, 188, 117–139.

    Google Scholar 

  • Kosslyn, S. M. (1980). Image and mind. Cambridge (MA): Harvard University Press.

    Google Scholar 

  • Kosslyn, S. M. (1994). Image and brain: The resolution of the imagery debate. Cambridge (MA): MIT Press.

    Google Scholar 

  • Marr, D. & Nishihara, H. K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. In Proceedings of the Royal Society of London B, (Bd. 200, S. 269–294).

  • Miller, G. A. (1956). The magical number seven, plus or minus two. Some limits on our capacity for processing information. Psychological Review, 63, 81–97.

    Article  Google Scholar 

  • Paivio, A. (1979). Imagery and verbal processes. Hillsdale (N.J.): Lawrence Erlbaum Associates.

    Google Scholar 

  • Rickheit, G. & Strohner, H. (1993). Grundlagen der Kognitiven Sprachverarbeitung. Tübingen: Francke.

    Google Scholar 

  • Shastri, L. & Ajjanagadde, V. (1990). From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings (Tech. Rep. Nr. MS-CIS-90-05). Department of Computer Science, University of Pennsylvania.

  • Siddiqi, K., Shokoufandeh, A., Dickinson, S. J. & Zucker, S. W. (1998). Shock graphs and shape matching. In Proceedings of the Sixth International Conference on Computer Vision. Bombay, India.

  • Smith, E. E., Shoben, E. J. & Rips, L. J. (1974). Structure and process in semantic memory. Psychological Review, 81, 214–241.

    Article  Google Scholar 

  • Smolensky, P. (1987). A method of connectionist variable binding (Tech. Rep. Nr. CU-CS-356-87). Boulder: University of Colorado, Department of Computer Science.

    Google Scholar 

  • Tarr, M. J. & Blthoff, H. H. (1998). Image-based object recognition in man, monkey and machine. Cognition, 67, 1–20.

    Article  Google Scholar 

  • Treismann, A. & Schmidt, H. (1982). Illusory conjunctions in the perception of objects. Cognitive Psychology, 14, 107–141.

    Article  Google Scholar 

  • Wachsmuth, I. & Jung, B. (1996). Dynamic conceptualization in a mechanical-object assembly environment. Artificial Intelligence Review, 10(3–4), 345–368.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Klaus Kessler.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kessler, K., Hoffhenke, M., Rickheit, G. et al. Dynamische Konzeptverarbeitung mit imaginalen und assoziativen Strukturen. Kognit. Wiss. 8, 115–122 (1999). https://doi.org/10.1007/s001970050080

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s001970050080

Keywords

Navigation