A New Indian Model for Human Intelligence | SpringerLink
Skip to main content
Springer Nature Link
Log in

A New Indian Model for Human Intelligence

  • Conference paper
Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 193))

Included in the following conference series:

  • 1837 Accesses

Abstract

This paper first reviews the existing models for human intelligence. Then it discusses the nineteen types of human thought processes – Kriya-Pratikriya, Indriya, Aatmsaat, Smaran, Samajh, Soch, Vichar, Vimarsh, Kalpana, Swapna, Anubhava, Anubhooti (or Aatm-Prerana), Tark, Bhav, Dhyan, Gyan, Vivek, Siddhi and Darshan which are commonly present in the Indian books regarding human thinking. These processes when joined together form a new Indian model for human intelligence. Though many aspects of human thinking have now been understood, the core reason behind superior capabilities of human brain as compared to present Artificial Intelligence or neural network based machines or other living beings has not come out clearly. This paper relates the biological research with human thinking modes to explain some aspects of this superior intelligence.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /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
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11439
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14299
Price includes VAT (Japan)
  • 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. Antonov, A.A.: Human-computer super-intelligence. American Journal of Scientific and Industrial Research 1(2), 96–104 (2010), http://www.scihub.org/AJSIR , ISSN:2153-649X doi:10.5251/ajsir.2010.1.2.96.104

    Article  Google Scholar 

  2. Arbib, M.A. (ed.): The Handbook of Brain Theory and Neural Networks. The MIT Press, USA (2006)

    Google Scholar 

  3. Polk, T.A., Seifort, C.M. (eds.): Cognitive Modeling. The MIT Press, USA (2002)

    Google Scholar 

  4. Fogel, D.B.: Evolutionary Computation. Prentice Hall of India Pvt. Ltd., Englewood Cliffs (2004)

    MATH  Google Scholar 

  5. Haykin, S.: Neural Networks: A Comprehensive Foundation. Pearson Education, London (1999)

    MATH  Google Scholar 

  6. Many texts in Indian Literature

    Google Scholar 

  7. Penrose, R.: Shadows of the mind: A search for the missing science of consciousness. Vintage Books, London (2005)

    Google Scholar 

  8. McGaugh, J.L., Weinberger, N.M., Linch, G. (eds.): Brain and Memory: Modulation and Mediation of Neuroplasticity. Oxford University Press, Oxford (1995)

    Google Scholar 

  9. Gleik, J., Chaos: The Amazing Science of the Unpredictable. Vintage Books (1998)

    Google Scholar 

  10. Zurada, J.M.: Introduction to Artificial Neural Systems. West Publishing Company (1999)

    Google Scholar 

  11. Darwin, C.: The origin of Species. Goyal Saab Publishers, Delhi

    Google Scholar 

  12. Norden, J.: Ph. D., TTC Video Course on “Understanding the Brain”

    Google Scholar 

  13. Perlovsky, L.I.: Neural Networks and Intellect: Using Model- Based Concepts. Oxford University Press, New York (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instruments R&D Establishment (IRDE - DRDO), Dehradun, India

    Jai Prakash Singh

Authors
  1. Jai Prakash Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Departamento de Comunicaciones, Universidad Politcnica de Valencia, 46071, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Singh, J.P. (2011). A New Indian Model for Human Intelligence. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22726-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22725-7

  • Online ISBN: 978-3-642-22726-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation