Skip to main content
SpringerLink
Log in

On the Road to Thinking Machines: Insights and Ideas

  • Conference paper
How the World Computes (CiE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7318))

Included in the following conference series:

Abstract

The quest for understanding the working of artificial minds attaining a human-like cognition is culminating. While still inspired by the functionality of biological brains, the realization of thinking machines need not slavishly copy the principles used by their living pendants. Achieving a higher-level artificial intelligence no longer seems to be a matter of a fundamental scientific breakthrough but rather a matter of exploiting our best algorithmic theories of thinking machines supported by our most advanced robotic and real time data processing technologies. We review recent examples of such theories, ideas and machines which could pave the road towards building interesting artificial brains.

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 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.

References

  1. Arbib, M.A.: The mirror system hypothesis: how did protolanguage evolve? In: Tallerman, M. (ed.) Language Origins: Perspectives on Evolution. Oxford University Press (2005)

    Google Scholar 

  2. Baars, B.J.: A cognitive theory of consciousness. Cambridge University Press, Cambridge (1988)

    Google Scholar 

  3. Baars, B.J.: In the theater of consciousness: The workspace of the mind. Oxford University Press, Oxford (1997)

    Book  Google Scholar 

  4. Block, N.: On a Confusion About a Function of Consciousness. Brain and Behavioral Sciences 18, 227–247 (1995)

    Article  Google Scholar 

  5. Chalmers, D.: Facing Up To the Problem of Consciousness. Journal of Consciousness Studies 2(3), 200–219 (1995)

    MathSciNet  Google Scholar 

  6. Cruse, H.: The evolution of cognition—a hypothesis. Cognitive Science 27(1) (2003)

    Google Scholar 

  7. Dennett, D.: Consciousness Explained. The Penguin Press (1991)

    Google Scholar 

  8. Ferrucci, D., et al.: Building Watson: An Overview DeepQA Project. AI Magazine, 200–214 (Fall 2010)

    Google Scholar 

  9. Franklin, S.: IDA: A conscious artifact? J. of Consciousness Studies 10(4-5), 47–66 (2003)

    MathSciNet  Google Scholar 

  10. Feldman, J.: From Molecule to Metaphor. MIT Press, Cambridge (2006)

    Google Scholar 

  11. Harnad, S.: The symbol grounding problem. Physica D (42), 335–346 (1990)

    Google Scholar 

  12. Harvey, I.: Evolving Robot Consciousness: The Easy Problems and the Rest. In: Fetzer, J.H. (ed.) Evolving Consciousness. Advances in Consciousness Research Series, pp. 205–219. John Benjamins, Amsterdam (2002)

    Google Scholar 

  13. Holland, O., Goodman, R.: Robots with internal models: a route to machine consciousness? Journal of Consciousness Studies 10(4-5) (2003)

    Google Scholar 

  14. Hurford, J.R.: Language beyond our grasp: what mirror neurons can, and cannot, do for language evolution. In: Kimbrough, O., Griebel, U., Plunkett, K. (eds.) The Evolution of Communication systems: A Comparative Approach. The Viennna Series in Theoretical Biology. MIT Press, Cambridge (2002)

    Google Scholar 

  15. Hume, D.: Enquiry concerning human understanding. In: Selby-Bigge, L.A. (ed.) Enquiries Concerning Human Understanding and Concerning the Principles of Morals, 3rd edn. Clarendon Press, Oxford (2003), revised by Nidditch, P.H.

    Google Scholar 

  16. Kurzweil, R.: The Singularity is Near, p. 652. Viking Books (2005)

    Google Scholar 

  17. Llinàs, R.: I of the Vortex: From Neurons to Self. MIT Press (2001)

    Google Scholar 

  18. Neal, D.: The Pull of the Past: When Do Habits Persist Despite Conflict With Motives? Pers. Soc. Psychol. Bull. 37, 1428–1437 (2011)

    Article  Google Scholar 

  19. Nuxoll, A.M., Laird, J.E.: Extending Cognitive Architecture with Episodic Memory. In: Proceedings of the Twenty-Second Conference on Artificial Intelligence. AAAI Press, Vancouver (2007)

    Google Scholar 

  20. Kevin O’Regan, J.: How to Build Consciousness into a Robot: The Sensorimotor Approach. In: Lungarella, M., Iida, F., Bongard, J.C., Pfeifer, R. (eds.) 50 Years of Aritficial Intelligence. LNCS (LNAI), vol. 4850, pp. 332–346. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  21. Pfeifer, R., Scheier, C.: Understanding Intelligence. The MIT Press, Cambridge (1999)

    Google Scholar 

  22. Pfeifer, R., Bongard, J.: How the body shapes the way we think: a new view of intelligence. MIT Press (2006)

    Google Scholar 

  23. Ramachandran, V.S.: Mirror neurons and imitation as the driving force behind ‘the great leap forward’ in human evolution. EDGE: The third culture (2000), http://www.edge.org/3rd_culture/ramachandran/ramachandran_p1.html

  24. Rizzolatti, G., Fadiga, L., Gallese, V., Fogassi, I.: Premotor cortex and the recognition of motor actions. Cognitive Brain Research 3, 131–141 (1996)

    Article  Google Scholar 

  25. Shanahan, M.P.: Consciousness, emotion, and imagination: a brain-inspired architecture for cognitive robotics. In: Proceedings AISB 2005 Symposium on Next Generation Approaches to Machine Consciousness, pp. 26–35 (2005)

    Google Scholar 

  26. Turing, A.: Computing Machinery and Intelligence. Mind 59(236), 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  27. Valiant, L.G.: Circuits of the mind. Oxford University Press, New York (1994)

    MATH  Google Scholar 

  28. Wiedermann, J.: Towards Algorithmic Explanation of Mind Evolution and Functioning (Extended Abstract). In: Brim, L., Gruska, J., Zlatuška, J. (eds.) MFCS 1998. LNCS, vol. 1450, pp. 152–166. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  29. Wiedermann, J.: Mirror neurons, embodied cognitive agents and imitation learning. Computing and Informatics 22(6), 545–559 (2003)

    MATH  Google Scholar 

  30. Wiedermann, J.: HUGO: A Cognitive Architecture with an Incorporated World Model. In: Proc. of the European Conference on Complex Systems ECCS 2006, Said Business School. Oxford University (2006)

    Google Scholar 

  31. Wiedermann, J.: A high level model of a conscious embodied agent. In: Proc. of the 8th IEEE International Conference on Cognitive Informatics, pp. 448–456 (2010); expanded version appeared in: International Journal of Software Science and Computational Intelligence (IJSSCI) 2(3), 62–78 (2010)

    Google Scholar 

  32. Wiedermann, J.: A Computability Argument Against Superintelligence. In: Cognitive Computation, February 18. Springer (2012)

    Google Scholar 

  33. Wiedermann, J.: Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test*. In: Bieliková, M., Friedrich, G., Gottlob, G., Katzenbeisser, S., Turán, G. (eds.) SOFSEM 2012. LNCS, vol. 7147, pp. 44–63. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  34. Zimmer, C.: The Brain: Memories Are Crucial for Looking Into the Future. DISCOVER Magazine (April 2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 2, 182 07, Prague 8, Czech Republic

    Jiří Wiedermann

Authors
  1. Jiří Wiedermann
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Mathematics, University of Leeds, LS2 9JT, Leeds, UK

    S. Barry Cooper

  2. Computer Laboratory, University of Cambridge, Willialm Gates Building, J.J. Thomson Avenue, CB3 0FD, Cambridge, UK

    Anuj Dawar

  3. Institute for Logic, Language and Computation, University of Amsterdam, 1090 GE, Amsterdam, The Netherlands

    Benedikt Löwe

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wiedermann, J. (2012). On the Road to Thinking Machines: Insights and Ideas. In: Cooper, S.B., Dawar, A., Löwe, B. (eds) How the World Computes. CiE 2012. Lecture Notes in Computer Science, vol 7318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30870-3_74

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30870-3_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30869-7

  • Online ISBN: 978-3-642-30870-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation