Advertisement

Mapping Meaning onto CogInfoCom Channels

  • Péter Baranyi
  • Adam Csapo
  • Gyula Sallai
Chapter
  • 274 Downloads

Abstract

Based on the results of the previous two chapters, this chapter focuses on techniques that can be used to map semantic meaning onto CogInfoCom channels. This mapping task is formulated in terms of finding appropriate perceptual concepts—and a corresponding set of generation parameter types—for the establishment of useful semantic associations. In this way, the chapter develops a set of tools that can support the development of readily interpretable CogInfoCom channels.

Keywords

Conceptual Mapping Direct Mapping Previous Chapter Semantic Association Cognitive Artifact 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Blattner MM, Papp A, Glinert E (1994) Sonic enhancement of two-dimensional graphics displays. In: Kramer G (ed) Auditory display: sonification, audification and auditory interfaces. Addison Wesley, Reading, pp 447–470Google Scholar
  2. Csapo A, Baranyi P (2012a) A conceptual framework for the design of audio based cognitive infocommunication channels. In: Recent advances in intelligent engineering systems. Studies in computational intelligence, vol 368. Springer, Berlin/Heidelberg, pp 261–281. doi: 10.1007/978-3-642-23229-9_12
  3. Ganter B, Wille R (1999) Formal concept analysis. Springer, BerlinzbMATHCrossRefGoogle Scholar
  4. Halpern JY (1990) An analysis of first-order logics of probability. Artif Intell 46(3):311–350zbMATHCrossRefGoogle Scholar
  5. Hermann T (2002) Sonification for exploratory data analysis. Ph.D. thesis, University of BielefeldGoogle Scholar
  6. Hermann T, Ritter H (1999) Listen to your data: model-based sonification for data analysis. In: Lasker GE (ed) Advances in intelligent computing and multimedia systems. The International Institute for Advanced Studies in System Research and Cybernetics, Baden-Baden, pp 189–194Google Scholar
  7. Hunt A, Hermann T, Pauletto S (2004) Interacting with sonification systems: closing the loop. In: Banissi E, Börner K (eds) IV’04: proceedings of the 8th international conference on information visualisation (IV’04). IEEE Computer Society, London, pp 879–884Google Scholar
  8. Madhyastha T, Reed A (1994) A framework for sonification design. In: Kramer G (ed) Auditory display. Addison-Wesley, ReadingGoogle Scholar
  9. Norman D (1991) Cognitive artifacts. Cambridge University Press, New York, pp 17–38. http://www.portal.acm.org/citation.cfm?id=120352.120354
  10. Scaletti C (1994) Sound synthesis algorithms for auditory data representations. In: Kramer G (ed) Auditory display. Addison-Wesley, ReadingGoogle Scholar
  11. Valiant LG (1999) Robust logics. In: Proceedings of the 31st annual ACM symposium on theory of computing, pp 642–651. http://www.dl.acm.org/citation.cfm?id=301425
  12. Valiant LG (2003) Three problems in computer science. J ACM 50(1):96–99. http://www.dl.acm.org/citation.cfm?id=602410
  13. Valiant LG (2013) Probably approximately correct: nature’s algorithms for learning and prospering in a complex world. Basic BooksGoogle Scholar
  14. Vernon D, Metta G, Sandini G (2007) A survey of artificial cognitive systems: implications for the autonomous development of mental capabilities in computational agents. IEEE Trans Evol Comput 11(2):151–179CrossRefGoogle Scholar
  15. Wang Y (2008) On concept algebra: a denotational mathematical structure for knowledge and software modeling. Int J Cognit Inform Nat Intell 2(2):1–19CrossRefGoogle Scholar
  16. Yao Y (2009) Interpreting concept learning in cognitive informatics and granular computing. IEEE Trans Syst Man Cybern 39(4):855–866CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Péter Baranyi
    • 1
    • 2
  • Adam Csapo
    • 2
    • 1
  • Gyula Sallai
    • 3
    • 4
  1. 1.Széchenyi István University GyőrBudapestHungary
  2. 2.Institute for Computer Science and Control of the Hungarian Academy of SciencesBudapestHungary
  3. 3.Budapest University of Technology and EconomicsBudapestHungary
  4. 4.Future Internet Research Coordination CentreUniversity of DebrecenDebrecenHungary

Personalised recommendations