Skip to main content
SpringerLink
Log in

Thoughts on Architecture

  • Conference paper
  • First Online:
Artificial General Intelligence (AGI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13539))

Included in the following conference series:

Abstract

The term architecture has evolved considerably from its original Greek roots and its application to buildings and computers to its more recent manifestation for minds. This article considers lessons from this history, in terms of a set of relevant distinctions introduced at each of these stages and a definition of architecture that spans all three, and a reconsideration of three key issues from cognitive architectures for architectures in general and cognitive architectures more particularly.

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 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
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.

    The same may also be true beyond computational architectures to all transformational architectures, but the focus here is narrower.

  2. 2.

    “I do not pretend to start with precise questions. I do not think you can start with anything precise. You have to achieve such precision as you can, as you go along.” [32].

References

  1. Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: Research issues and challenges. Cog. Sys. Res. 10(2), 141–160 (2009)

    Article  Google Scholar 

  2. Goertzel, B.: Artificial general intelligence: Concept, state of the art, and future prospects. J. of AGI 5(1), 1–46 (2014)

    Google Scholar 

  3. Laird, J.E., Lebiere, C., Rosenbloom, P.S.: A Standard Model of the Mind: Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics. AI Mag. 38(4), 13–26 (2017)

    Google Scholar 

  4. Kotseruba, I., Tsotsos, J.K.: 40 years of cognitive architectures: Core cognitive abilities and practical applications. AI Review 53(1), 17–94 (2020)

    Google Scholar 

  5. Rosenbloom, P.S., Demski, A., Ustun, V.: The Sigma cognitive architecture and system: Towards functionally elegant grand unification. J. of AGI 7(1), 1–103 (2016)

    Google Scholar 

  6. Newell, A.: Unified Theories of Cognition. Harvard U. Press, Cambridge, MA (1990)

    Google Scholar 

  7. Newell, A., Simon, H.A.: Computer science as empirical inquiry: symbols and search. Comm. of the ACM 19(3), 113–126 (1976)

    Article  MathSciNet  Google Scholar 

  8. Online Etymology Dictionary on Architect: https://www.etymonline.com/word/architect. 10 February 2022

  9. Wikipedia on Architecture. https://en.wikipedia.org/wiki/Architecture. 10 February 2022

  10. Britannica on Architecture. https://www.britannica.com/topic/architecture. 10 February 2022

  11. Hennessy, J.L., Patterson, D.A.: Computer Architecture: A Quantitative Approach, 5th edn. Morgan Kaufmann, Waltham, MA (2012)

    MATH  Google Scholar 

  12. Rosenbloom, P.S.: On Computing: The Fourth Great Scientific Domain. MIT Press, Cambridge, MA (2012)

    Book  Google Scholar 

  13. Bell, C.G., Newell, A.: Computer Structures: Readings and Examples. McGraw-Hill, New York, NY (1971)

    Google Scholar 

  14. Newell, A.: You can’t play 20 questions with nature and win: projective comments on the papers of this symposium. In: Chase, W.G. (ed.), Visual Information Processing: Proc. of the 8th Annual Carnegie Symp. on Cognition. Academic Press, New York, NY (1973)

    Google Scholar 

  15. Hutter, M.: Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability. Springer-Verlag, Berlin (2005)

    Book  MATH  Google Scholar 

  16. Laird, J.E.: The Soar Cognitive Architecture. MIT Press, Cambridge, MA (2012)

    Book  Google Scholar 

  17. Goertzel, B., Pennachin, C., Geisweiller, N.: Engineering General Intelligence. Atlantis Press, Amsterdam (2014)

    Book  Google Scholar 

  18. Hossenfelder, S.: Lost in Math: How Beauty Leads Physics Astray. Basic Books, New York, NY (2018)

    MATH  Google Scholar 

  19. Turing, A.M.: On computable numbers, with an application to the entscheidungsproblem. In: Proc. of the London Math. Soc. s2–42(1), 230–65 (1937)

    Google Scholar 

  20. Stocco, A., Lebiere, C., Samsonovich, A.: The B-I-C-A of biologically inspired cognitive architectures. International Journal of Machine Consciousness 2(2), 171–192 (2010)

    Article  Google Scholar 

  21. Simon, H.A.: How Big Is a Chunk? Science 183(4142), 482–488 (1974)

    Article  Google Scholar 

  22. Wirth, N.: Algorithms + Data Structures = Programs. Prentice-Hall, Englewood Cliffs, NJ (1976)

    MATH  Google Scholar 

  23. Kowalski, R.: Algorithm = logic + control. Comms. of the ACM 22(7), 424–436 (1979)

    Article  MATH  Google Scholar 

  24. Feigenbaum, E.: Expert System: Principles and Practice (1992)

    Google Scholar 

  25. Kivunja, C.: Distinguishing between theory, theoretical framework, and conceptual framework: A systematic review of lessons from the field. Int. J. of Higher Ed. 7(6), 44–53 (2018)

    Article  Google Scholar 

  26. Kuhn, T.: The Structure of Scientific Revolutions. U. of Chicago Press, Chicago, IL (1962)

    Google Scholar 

  27. Lakatos, I.: The Methodology of Scientific Research Programmes: Philosophical Papers, vol. 1. Cambridge U. Press, Cambridge, UK (1978)

    Book  MATH  Google Scholar 

  28. Stanford Encyclopedia of Philosophy on Lakatos. https://plato.stanford.edu/entries/lakatos/. 14 February 2022

  29. Milnes, B.G., et al.: A Specification of the Soar Cognitive Arch. In: Z. Carnegie Mellon U., Pittsburgh, PA (1992)

    Google Scholar 

  30. Cooper, R., Fox, J., Farringdom, J., Shallice, T.: Towards a systematic methodology for cognitive modelling. Artif. Intell. 84(1–2), 355 (1996)

    Article  Google Scholar 

  31. Wikipedia on Scientific Method. https://en.wikipedia.org/wiki/Scientific_method. 12 February 2022

  32. Russell, B.: The Philosophy of Logical Atomism (1918)

    Google Scholar 

  33. Rosenbloom, P.S.: A cognitive odyssey: From the power law of practice to a general learning mechanism and beyond. Tutorials in Quant. Meth. for Psych. 2(2), 43–51 (2006)

    Article  Google Scholar 

  34. Laird, J.E., Newell, A., Rosenbloom, P.S.: Soar: an architecture for general intelligence. Artif. Intell. 33, 1–64 (1987)

    Article  Google Scholar 

  35. Laird, J.E., Rosenbloom, P.S., Newell, A.: Chunking in Soar: the anatomy of a general learning mechanism. Mach. Learn. 1(1), 11–46 (1986)

    Article  Google Scholar 

  36. Rosenbloom, P.S., Laird, J.E., Newell, A.: Knowledge level learning in Soar. In: Proc. of the 6th Nat. Conf. on AI, pp. 499–504. AAAI Press, Menlo Park, CA (1987)

    Google Scholar 

  37. Rosenbloom, P.S., Demski, A., Ustun, V.: Toward a neural-symbolic Sigma: introducing neural network learning. In: Proc. of the 15th Annual Meeting of the ICCM (2017)

    Google Scholar 

  38. Perry, D.E., Wolf, A.L.: Foundations for the study of software architecture. ACM SIGSOFT Software Engineering Notes 17(4), 40–52 (1992)

    Article  Google Scholar 

  39. Clements, P., et al.: Documenting Software Architectures: Views and Beyond, 2nd Edition. Addison-Wesley, Upper Saddle River, NJ

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Southern California, Los Angeles, CA, USA

    Paul S. Rosenbloom

Authors
  1. Paul S. Rosenbloom
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paul S. Rosenbloom .

Editor information

Editors and Affiliations

  1. SingularityNET Foundation, Amsterdam, The Netherlands

    Ben Goertzel

  2. SingularityNET Foundation, Amsterdam, The Netherlands

    Matt Iklé

  3. SingularityNET Foundation, Amsterdam, The Netherlands

    Alexey Potapov

  4. Russian Academy of Sciences, Novosibirsk, Russia

    Denis Ponomaryov

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rosenbloom, P.S. (2023). Thoughts on Architecture. In: Goertzel, B., Iklé, M., Potapov, A., Ponomaryov, D. (eds) Artificial General Intelligence. AGI 2022. Lecture Notes in Computer Science(), vol 13539. Springer, Cham. https://doi.org/10.1007/978-3-031-19907-3_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-19907-3_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19906-6

  • Online ISBN: 978-3-031-19907-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation