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Qualitative Velocity

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Topics in Artificial Intelligence (CCIA 2002)

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Abstract

The concept of velocity of an object relates an interval of time with the space that this object has travelled in such interval of time. Velocity is always relative: we compare the distance that an object has travelled in a period of time with respect to the position of another object. Although velocity is a quantitative physical concept, we also need a qualitative model of velocity if we want to automatically reason in a human-like way. In this paper, a qualitative model for representing and reasoning with the concept of velocity has been introduced.

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References

  1. Guesgen, H.W., “Spatial reasoning based on Allen’s temporal logic”, Technical Report TR-89-049, International Computer Science Institute, Berkeley, 1989.

    Google Scholar 

  2. Jungert, E., “The Observer’s Point of View: An Extension of Symbolic Projections”, in International Conference GIS-From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning in Geographic Space. Volume 639 of Lectures Notes in Computer Science. Ed. Springer-Verlag, 1992.

    Google Scholar 

  3. Mukerjee, A., Joe, G., “A Qualitative Model for Space”. In 8th-AAAI, pag. 721–727, 1990.

    Google Scholar 

  4. Freksa, C., “Using Orientation Information for Qualitative Reasoning”, in A. U. Frank, I. Campari, and U. Formentini (editors). Theories and Methods of Spatio-Temporal Reasoning in Geographic Space. Proceedings of the International Conference on GIS-From Space to Territory, Pisa, volume 639 of Lecture Notes in Computer Science, pag. 162–178, 1992. Springer, Berlin.

    Google Scholar 

  5. Freksa, C., Zimmermann, K., “On the Utilization of Spatial Structures for Cognitively Plausible and Efficient Reasoning”, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pag. 18–21, 1992.

    Google Scholar 

  6. Hernández, D. Qualitative Representation of Spatial Knowledge. In volume 804 in Lecture Notes in AI. Ed. Springer-Verlag, 1994.

    Google Scholar 

  7. Pacheco, J., Escrig, M.T., Toledo, F., “A model for representing and reasoning with 3-D Qualitative Orientation”, in Proceedings of the 9th Conference of Spanish Association of Artificial Intelligence, October 2001.

    Google Scholar 

  8. Zimmermann, K., “Enhancing Qualitative Spatial Reasoning Combining Orientation and Distance”, in Frank, A. U. and Campari, I. (eds.). Spatial Information Theory. A Theoretical Basis for GIS. European Conference, COSIT’93, pag. 69–76, Marciana Marina, Italy, Volume 716 of Lecture Notes in Computer Science. Springer, Berlin.

    Google Scholar 

  9. Jong, J. H., “Qualitative Reasoning About Distances and Directions in Geographic Space”. Ph.D. thesis. Department of Surveying Engineering. University of Maine, 1994.

    Google Scholar 

  10. Clementini, E., Di Felice, P., Hernández, D., “Qualitative Representation of Positional Information”, TR FKI-208-95, Technische Universität München, 1995.

    Google Scholar 

  11. Escrig, M.T., Toledo, F., “Autonomous Robot Navigation using human spatial concepts”. International Journal of Intelligent Systems, Vol. 15, No. 3, March 2000, pp. 165–196, 2000. ISBN 0884-8173.

    Article  MATH  Google Scholar 

  12. Escrig, M.T., Toledo, F., “Reasoning with compared distances at different levels of granularity”, in Proceedings of the 9th Conference of Spanish Association of Artificial Intelligence, October 2001.

    Google Scholar 

  13. Frank, A., “Qualitative Spatial Reasoning about Distance and Directions in Geographic Space”. In Journal of Visual Languages and Computing 3, pag. 343–373, 1992.

    Article  Google Scholar 

  14. Escrig, M.T., Toledo, F., Qualitative Spatial Reasoning: theory and practice. Application to Robot Navigation. IOS Press, Frontiers in Artificial Intelligence and Applications, ISBN 90 5199 4125. 1998.

    Google Scholar 

  15. Zimmermann, K., Freksa, C., “Enhancing Spatial Reasoning by the concept of motion”, in the Proceedings of the AISB’93 Conference, 1993.

    Google Scholar 

  16. Musto, A. et al., “Qualitative and Quantitative representations of Locomotion and their application in robot navigation”, in Proceedings of the IJCAI-99, Morgan Kaufman Publishers, 1999.

    Google Scholar 

  17. Musto, A. et al., “From motion observation to qualitative representation”, in C. Freksa, C. Habel, C. Hendel (eds.), Spatial Cognition II. LNCS-Series, Springer Berlin, Heidelberg, New York 2000.

    Google Scholar 

  18. Mackworth, A.K., Freuder, E.C., “The complexity of some Polynomial networks consistency algorithms for constraint satisfaction problems”, Journal of Artificial Intelligence 25: pag. 65–74, 1985.

    Article  Google Scholar 

  19. Fruehwirth, T., “Constraint Handling Rules”, in A. Podelski (ed.), Constraint Programming: Basic and Trends, volume 910 of Lecture Notes in Computer Science, pag. 90–107, 1994. Springer.

    Google Scholar 

  20. P. Brissetet al., ECLiPSe 3.4 Extensions User Manual, European Computer-Industry Research Centre, Munich, Germany, 1994.

    Google Scholar 

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Monferrer, M.T.E., Lobo, F.T. (2002). Qualitative Velocity. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_3

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  • DOI: https://doi.org/10.1007/3-540-36079-4_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00011-2

  • Online ISBN: 978-3-540-36079-7

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