Skip to main content

The Collection of Physical Knowledge and Its Application in Intelligent Systems

  • Conference paper
  • 2375 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 6830)

Abstract

Intelligence is a multidimensional problem of which physical reasoning and physical knowledge are important dimensions. However, there are few resources of physical knowledge that can be used in data-driven approaches to Artificial Intelligence. Comirit Objects is a project intended to encourage the general public to contribute to research in Artificial Intelligence by building simple 3D models of everyday objects via an interactive web-site. This paper describes the simplified representation and web-interface used by Comirit Objects and a preliminary investigation into the potential applications of the collected models.

Keywords

  • Crowd-sourcing
  • Physical Reasoning
  • Commonsense Reasoning
  • 3D Modeling

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-22887-2_17
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   64.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-22887-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   84.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bollacker, K.D., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a Collaboratively Created Graph Database for Structuring Human Knowledge. In: SIGMOD Conference (2008)

    Google Scholar 

  2. Chklovski, T.: LEARNER: A System for Acquiring Commonsense Knowledge by Analogy. In: Proceedings of the 2nd International Conference on Knowledge Capture (2003)

    Google Scholar 

  3. Cycorp Inc.: FACTory (2010), http://game.cyc.com/

  4. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1999)

    Google Scholar 

  5. Havasi, C., Speer, R., Alonso, J.: ConceptNet 3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. In: Proceedings of Recent Advances in Natural Language Processing (2007)

    Google Scholar 

  6. Johnston, B.: The Toy Box Problem (and a Preliminary Solution). In: International Conference on Artificial General Intelligence (2010)

    Google Scholar 

  7. Johnston, B.: Practical Artificial Commonsense. University of Technology, Sydney PhD thesis (2009)

    Google Scholar 

  8. Johnston, B., Williams, M-A.: Comirit: Commonsense Reasoning by Integrating Simulation and Logic. In: Proceedings of the First International Conference on Artificial General Intelligence (2008)

    Google Scholar 

  9. Kaku, M.: Visions: How Science Will Revolutionize the Twenty-First Century. Oxford University Press, Oxford (1999)

    Google Scholar 

  10. Lenat, D.B., Guha, R.V.: Building Large Knowledge Based Systems. Addison-Wesley, Reading (1990)

    Google Scholar 

  11. Lieberman, H., Smith, D., Teeters, A.: Common Consensus: A Web-Based Game or Collecting Commonsense Goals. In: Proceedings of the IUI 2007 Workshop Common Sense for Intelligent Interfaces (2007)

    Google Scholar 

  12. Smith, R.: Open Dynamics Engine (2000–2006), http://www.ode.org/

  13. Swartz, A.: Web.py (2011), http://webpy.org/

  14. von Ahn, L.: Games with a Purpose. Computer 29(6) (2006)

    Google Scholar 

  15. von Ahn, L., Dabbish, L.: Labeling Images with a Computer Game. In: CHI 2004: Proceedings of the SIGCHI conference on Human factors in computing systems (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Johnston, B. (2011). The Collection of Physical Knowledge and Its Application in Intelligent Systems. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22887-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22886-5

  • Online ISBN: 978-3-642-22887-2

  • eBook Packages: Computer ScienceComputer Science (R0)