Nothing Special   »   [go: up one dir, main page]

Skip to main content

Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler

  • Conference paper
Modern Advances in Applied Intelligence (IEA/AIE 2014)

Abstract

This paper introduces the architecture and the features of the HCM-L Modeler, a modeling tool supporting the Human Cognitive Modeling Language HCM-L and a comprehensive reasoning approach for Human Cognitive Models based on Answer Set Programming. The HCM-L tool has been developed using the ADOxx® meta modeling platform and following the principles of the Open Modeling Initiative: to provide open models that are formulated in an arbitrary, domain specific modeling language, which however is grounded in a common ontological framework, and therefore easily to translate in another language depending of the given purpose.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Steg, H., et al.: Europe Is Facing a Demographic Challenge. In: Ambient Assisted Living Offers Solutions. VDI/VDE/IT, Berlin (2006)

    Google Scholar 

  2. Lawton, M.P., Brody, E.M.: Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist 9, 179–186 (1969)

    Article  Google Scholar 

  3. Michael, J., Grießer, A., Strobl, T., Mayr, H.C.: Cognitive Modeling and Support for Ambient Assistance. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds.) UNISON 2012. LNBIP, vol. 137, pp. 96–107. Springer, Heidelberg (2013)

    Google Scholar 

  4. Michael, J., Mayr, H.C.: Conceptual Modeling for Ambient Assistance. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds.) ER 2013. LNCS, vol. 8217, pp. 403–413. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  5. Karagiannis, D., Grossmann, W., Höfferer, P.: Open Model Initiative: A Feasibility Study. Dpmt. of Knowledge Engineering, University of Vienna (2002), http://www.openmodels.at

  6. Karagiannis, D.: Business Process Management: A Holistic Management Approach. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds.) UNISON 2012. LNBIP, vol. 137, pp. 1–12. Springer, Heidelberg (2013)

    Google Scholar 

  7. Kofod-Petersen, A., Mikalsen, M.: Context: Representation and Reasoning. Special Issue of the Revue d’Intelligence Artificielle on “Applying Context-Management” (2005)

    Google Scholar 

  8. Moody, D.: The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering. IEEE Trans. Software Eng. 35, 756–779 (2009)

    Article  Google Scholar 

  9. OMG Meta Object Facility (MOF) Core Specification Version 2.4.1: http://www.omg.org/spec/MOF/2.4.1/PDF/ (last visited on September 29, 2013)

  10. Schwarz, H., Ebert, J., Lemcke, J., Rahmani, T., Zivkovic, S.: Using expressive traceability relationships for ensuring consistent process model refinement. In: Proc. Int. Conf. on Engineering of Complex Computer Systems (ICECCS), pp. 183–192 (2010)

    Google Scholar 

  11. Fill, H.G., Karagiannis, D.: On the conceptualisation of modelling methods using the ADOxx meta modelling platform. Enterprise Modelling and Information Systems Architectures 8(1) (2013)

    Google Scholar 

  12. ADOxx® Software Engineer Tutorial Package: http://www.adoxx.org/live/tutorial (last visited on September 29, 2013)

  13. Baral, C.: Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press (2003) ISBN 978-0-521-81802-5

    Google Scholar 

  14. Turaga, R., et al.: Machine recognition of human activities: A survey. IEEE Transactions on Circuits and Systems for Video Technology 18(11), 1473–1488 (2003)

    Article  Google Scholar 

  15. Batsakis, S., Petrakis, E.G.M.: Sowl: Spatio-temporal representation, reasoning and querying over the semantic web. In: Proc. 6th Int. Conf. on Semantic Systems. ACM (2010)

    Google Scholar 

  16. King, B., et al.: Statistical reasoning in the behavioral sciences. Wiley.com (2011)

    Google Scholar 

  17. Batsakis, S., Petrakis, E.: SOWL: Spatio-temporal representation, reasoning and querying over the semantic web. In: Proc. 6th Int. Conf. on Semantic Systems. ACM (2010)

    Google Scholar 

  18. Sensoy, M., et al.: OWL-polar: A framework for semantic policy representation and reasoning. In: Web Semantics: Science, Services and Agents on the WWW 2012, pp. 148–160 (2012)

    Google Scholar 

  19. Gentner, D., et al.: Cognitive Approaches for the Semantic Web. Dagstuhl Reports 2.5, 93–116 (2012)

    Google Scholar 

  20. Al Machot, F., et al.: Real time complex event detection for resource-limited multimedia sensor networks. In: Proc. 8th IEEE Int. Conf. on Advanced Video and Signal-Based Surveillance (2011)

    Google Scholar 

  21. Gebser, M., et al.: A user’s guide to gringo, clasp, clingo, and iclingo (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Machot, F.A., Mayr, H.C., Michael, J. (2014). Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8482. Springer, Cham. https://doi.org/10.1007/978-3-319-07467-2_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07467-2_41

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07466-5

  • Online ISBN: 978-3-319-07467-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics