Skip to main content
SpringerLink
Log in

Self-awareness and Self-control in NARS

  • Conference paper
  • First Online:
Artificial General Intelligence (AGI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10414))

Included in the following conference series:

Abstract

This paper describes the self-awareness and self-control mechanisms of a general-purpose intelligent system, NARS. The system perceives its internal environment basically in the same way as how it perceives its external environment, though the sensors involved are completely different. NARS uses a “self” concept to organize its relevant beliefs, tasks, and operations. The concept has an innate core, though its content and structure are mostly acquired gradually from the system’s experience. The “self” concept and its ingredients play important roles in the control of the system.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
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

Notes

  1. 1.

    Mostly accessible at https://cis.temple.edu/~pwang/papers.html.

  2. 2.

    Here, the inheritance copula encodes that the relation between \(\lbrace SELF \rbrace \) and \(\lbrace door\_1\rbrace \), is a special case of opening.

  3. 3.

    Source code, working examples, and documentations of the current implementation of NARS can be found at http://opennars.github.io/opennars/.

References

  1. Baars, B.J., Franklin, S.: Consciousness is computational: the LIDA model of global workspace theory. Int. J. Mach. Conscious. 1, 23–32 (2009)

    Article  Google Scholar 

  2. Bach, J.: Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition. Oxford University Press, Oxford (2009)

    Book  Google Scholar 

  3. Chella, A., Frixione, M., Gaglio, S.: A cognitive architecture for robot self-consciousness. Artif. Intell. Med. 44, 147–154 (2008)

    Article  Google Scholar 

  4. Cooper, R.P.: Cognitive control: componential or emergent? Top. Cogn. Sci. 2, 598–613 (2010)

    Article  Google Scholar 

  5. Cox, M.T.: Metacognition in computation: a selected research review. Artif. Intell. 169, 104–141 (2005)

    Article  Google Scholar 

  6. Franklin, S.: A foundational architecture for artificial general intelligence. In: Goertzel, B., Wang, P. (eds.) Advance of Artificial General Intelligence, pp. 36–54. IOS Press, Amsterdam (2007)

    Google Scholar 

  7. Kowalski, R.: Logic for Problem Solving. North Holland, New York (1979)

    MATH  Google Scholar 

  8. Marshall, J.B.: A self-watching model of analogy-making and perception. J. Exp. Theor. Artif. Intell. 18(3), 267–307 (2006)

    Article  Google Scholar 

  9. McCarthy, J.: Making robots conscious of their mental states. In: Intelligent Agents Machine Intelligence, vol. 15, pp. 3–17. St. Catherine’s College, Oxford, July 1995

    Google Scholar 

  10. Peirce, C.S.: Collected Papers of Charles Sanders Peirce, vol. 2. Harvard University Press, Cambridge (1931)

    Google Scholar 

  11. Piaget, J.: The Origins of Intelligence in Children. W.W. Norton & Company Inc., New York (1963). Translated by Cook, M.

    Google Scholar 

  12. Rosenbloom, P.S., Demski, A., Ustun, V.: The Sigma cognitive architecture and system: towards functionally elegant grand unification. J. Artif. Gen. Intell. 7, 1–103 (2016)

    Article  Google Scholar 

  13. Shapiro, S.C., Bona, J.P.: The GLAIR cognitive architecture. Int. J. Mach. Conscious. 2, 307–332 (2010)

    Article  Google Scholar 

  14. Wang, P.: Rigid Flexibility: The Logic of Intelligence. Springer, Dordrecht (2006)

    MATH  Google Scholar 

  15. Wang, P.: What do you mean by ‘AI’. In: Proceedings of the First Conference on Artificial General Intelligence, pp. 362–373 (2008)

    Google Scholar 

  16. Wang, P.: Solving a problem with or without a program. J. Artif. Gen. Intell. 3(3), 43–73 (2012)

    Google Scholar 

  17. Wang, P.: Non-Axiomatic Logic: A Model of Intelligent Reasoning. World Scientific, Singapore (2013)

    Book  Google Scholar 

  18. Wang, P., Talanov, M., Hammer, P.: The emotional mechanisms in NARS. In: Proceedings of the Ninth Conference on Artificial General Intelligence, pp. 150–159 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Information Sciences, Temple University, Philadelphia, USA

    Pei Wang & Xiang Li

  2. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Patrick Hammer

Authors
  1. Pei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Patrick Hammer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pei Wang .

Editor information

Editors and Affiliations

  1. Australian National University , Canberra, Aust Capital Terr, Australia

    Tom Everitt

  2. OpenCog Foundation , Hong Kong, China

    Ben Goertzel

  3. St. Petersburg State University , St. Petersburg, Russia

    Alexey Potapov

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Wang, P., Li, X., Hammer, P. (2017). Self-awareness and Self-control in NARS. In: Everitt, T., Goertzel, B., Potapov, A. (eds) Artificial General Intelligence. AGI 2017. Lecture Notes in Computer Science(), vol 10414. Springer, Cham. https://doi.org/10.1007/978-3-319-63703-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63703-7_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63702-0

  • Online ISBN: 978-3-319-63703-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation