Skip to main content
Log in

Shared models: The cognitive equivalent of aLingua Franca

  • Published:
AI & SOCIETY Aims and scope Submit manuscript

Abstract

The richness of humanity is the diversity of its cultures, but now as never before the destructive power of modern technology and threatening ecological disasters make it necessary that we all recognize we are many peoples of one world. Complementing the diversity of our different cultures, the growth of a common, scientific knowledge inspires the hope that we may achieve and share a secondary culture of ideas. Computers, which can help represent explicitly the best ideas of modern science, can aid in the diffusion of such powerful ideas to create a popular, secondary, scientific culture.

We propose that a primary objective of learning environment design should be the development of thinkable models in the minds of students; further, since thinkable models represent a level of knowledge deeper than superficial terminology and specific graphical forms, such may be an objective suitable for various people in different cultures. To pursue these notions in some detail, a taxonomy of models is developed and the issue of how representations relate to human modes of perception and action is raised. The notions are explored first through the contrasting of a half-dozen approaches to the Pythagorean Theorem; then through describing polylingual word worlds and the Rosetta disk project.

Common experiences produce common models —not only public models but the cognitive structures built from those shared experiences; and shared models will permit enhanced communication and understanding. If sharing experiences through play with computer based learning environments in different languages permits children to develop common models of the world, this will ultimately enhance mutual understanding between people in different places. This objective is now within reach.

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

References

  • Barr, A. and E. Feigenbaum (eds.) (1981).The Handbook of Artificial Intelligence. Wm. Kaufmann, Inc., Los Altos, Calif.

    Google Scholar 

  • Batra, R. (1987).The Great Depression of 1990. Dell Publishing, New York.

    Google Scholar 

  • Bauersfeld, H. (1972). Einige Bemerkungen zum “Frankfurter Projekt” und zum “alef”-Programm.Materialien zun Mathematikunterricht in der Grundschule. Arbeitskreis Grundschule e. V., Frankfurt am Main.

  • Dawkins, R. (1976).The Selfish Gene. Oxford University Press, Oxford.

    Google Scholar 

  • Descartes, R. (1954).The Geometry of Rene Descartes. Translated by D. E. Smith and M. L. Latham. Dover Publications, New York.

    Google Scholar 

  • Dörner, D., Stäudel, T. and St. Strohschneider. (1986).Moro. Projekt “Systemdenken” No. 23. Universität Bamberg.

  • Drescher, G. (1988)Demystifying Quantum Mechanics. AI Memo no. 1026. MIT Artificial Intelligence Laboratory, Cambridge, MA.

    Google Scholar 

  • Feurzeig, W. (1987) Algebra Slaves and Agents in a Logo Based Mathematics Curriculum. In Lawler and Yazdani (eds.)Artificial Intelligence and Education. Ablex, Norwood, NJ.

    Google Scholar 

  • Feynman, R. (1986).Surely You're Joking, Mr. Feynman. Simon & Schuster, New York.

    Google Scholar 

  • Gentner, D. and A. Stevens. (1983).Mental Models. Erlbaum, Hillside, NJ.

    Google Scholar 

  • Hadamard, J. (1945).The Psychology of Invention in the Mathematical Field. Dover Publications, New York.

    Google Scholar 

  • Heath, T. (1956).Euclid: The Thirteen Books of the Elements (Vol. 1). Dover Publications, New York.

    Google Scholar 

  • Held, R. and W. Richards (eds.) (1972).Perception: Mechanisms and Models. W. H. Freeman, San Francisco.

    Google Scholar 

  • Heppenheimer, T. (1977).Colonies in Space. Stackpole Books, Harrisburg, PA.

    Google Scholar 

  • Kagan, J. and E. Havemann (eds.) (1968).Psychology: An Introduction. Harcourt, Brace, and World, New York.

    Google Scholar 

  • Kaput, J. (1986).The Role of Reasoning with Intensive Quantities: Preliminary Analyses. Technical Report, Educational Technology Center, Harvard Graduate School of Education.

  • Langer, S. (1953).Feeling and Form. Scribner, New York.

    Google Scholar 

  • Lawler, R. (1981). The Progressive Construction of Mind.Cognitive Science, 5: 1–34.

    Google Scholar 

  • Lawler, R. (1985).Computer Experience and Cognitive Development. Ellis Horwood, Chichester.

    Google Scholar 

  • Lawler, R. (1987). Co-adaptation and the Development of Cognitive Structures. In DuBoulay Hogg and Steels (eds.)Advances in Artificial Intelligence. North Holland, Amsterdam.

    Google Scholar 

  • Lawler, R. and G. Lawler. (1987). Computer Microworlds and Reading: An Analysis for Their Systematic Application. In Lawler and Yazdani (eds.)Artificial Intelligence and Education. Ablex, Norwood, NJ.

    Google Scholar 

  • Lawler, R. and O. Selfridge. (1985). Learning Strategies through Interaction.Proceedings of the Annual Conference of the Cognitive Science Society, Irvine, California.

  • Lawler, R., Duboulay, B., Hughes, M. and H. MacLeod. (1986).Cognition and Computers. Ellis Horwood, Chichester.

    Google Scholar 

  • Lietzmann, W. (1911/1953).Der Pythagoreische Lertsatz. B. G. Teubner, Stuttgart.

    Google Scholar 

  • Minsky, M. (1975). A Framework for Representing Knowledge. In Winston (ed.)The Psychology of Computer Vision. McGraw-Hill, New York.

    Google Scholar 

  • Morgan, C. (1965).Physiological Psychology. McGraw-Hill, New York.

    Google Scholar 

  • Papert, S. (1980).Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, New York.

    Google Scholar 

  • Peirce, C. (1878/1956). Deduction, Induction, and Hypothesis. In Cohen (ed.)Chance, Love, and Logic. Brazillier, New York.

    Google Scholar 

  • Wertheimer, M. (1959).Productive Thinking. Greenwood Press, Westport, CT.

    Google Scholar 

  • White, B. and J. Frederickson. (1987). Qualitative Models and Intelligent Learning Environments. In Lawler and Yazdani (eds.)Artificial Intelligence and Education. Ablex, Norwood, NJ.

    Google Scholar 

  • Yazdani, M. (1988).Language Tutoring with Prolog. Computer Science Dept., Exeter University, Exeter.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lawler, R.W. Shared models: The cognitive equivalent of aLingua Franca . AI & Soc 3, 3–27 (1989). https://doi.org/10.1007/BF01892672

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01892672

Keywords

Navigation