Advertisement

Cognitive Computation

, Volume 1, Issue 1, pp 4–16 | Cite as

Cognitive Computation

  • J. G. TaylorEmail author
Article

Abstract

We present a proposal as to how to create a Cognitive Machine. We start by raising a set of basic questions relevant to the creation of such a machine. These include the nature of human cognition and how it might be modelled, is consciousness crucial for cognition, and how might an autonomous cognitive agent impute the internal mental state of another such agent. In the following sections we propose a set of possible answers to these questions. The paper finishes with conclusions as to the most viable and interesting directions to be pursued to create cognitive machines.

Keywords

Autonomous agents Attention Emotion Consciousness Mental simulation Theory of mind 

Notes

Acknowledgements

The author would like to thank the Cognitive Systems Unit of the EU for financial support through the GNOSYS project to create a cognitive robot (2004-7) and the MATHESIS project on Observational Learning (2006-9), as well as the EPSRC of the UK for support for developing a control model of attention (2003-6). He would also like to thank his numerous young colleagues involved in those projects for stimulating discussions.

References

  1. 1.
    Taylor JG. The mind: a user’s manual. Chichester: Wiley; 2006.Google Scholar
  2. 2.
    Taylor JG. Paying attention to consciousness. Prog Neurobiol. 2003;71:305–35.PubMedCrossRefGoogle Scholar
  3. 3.
    Taylor NR, Hartley MR, Taylor JG. The micro-structure of attention. Neural Netw. 2005;19(9):1347–70.CrossRefGoogle Scholar
  4. 4.
    Desmurget M, Grafton S. Forward modelling allows feedback control for fast reaching movements. Trends Cogn Sci. 2000;4(11):423–31.PubMedCrossRefGoogle Scholar
  5. 5.
    Taylor JG. CODAM: a model of attention leading to the creation of consciousness. Scholarpedia. 2007;2(11):1598.Google Scholar
  6. 6.
    Korsten N, Fragopanagos N, Hartley M, Taylor N, Taylor JG. Attention as a controller. Neural Netw. 2006;19:1408–21.PubMedCrossRefGoogle Scholar
  7. 7.
    Schluter N, Krams M, Rushworth MFS, Passingham RE. Cerebral dominance for action in the human brain: the selection of actions. Neuropsychologia. 2001;39(2):105–13.PubMedCrossRefGoogle Scholar
  8. 8.
    Hartley M, Taylor JG. Towards a neural model of mental simulation. In: Kurková V, Neruda R, Koutník J, editors. Artificial neural networks – ICANN 2008, Proceedings. Lecture notes in computer science, vol. 5163. Springer; 2008. p. 969–80. ISBN 978-3-540-87535-2.Google Scholar
  9. 9.
    Korsten N, Fragopanagos N, Taylor JG. Neural substructures for appraisal in emotion: self-esteem and depression. In: Marques de Sa J, Alexandre LA, Duch W, Mandovic D, editors. Artificial neural networks – ICANN 2007, Part II. Berlin: Springer; 2007. p. 850–8.CrossRefGoogle Scholar
  10. 10.
    Weir AAS, Chappell J, Kacelnik A. Shaping of tools in New Caledonian Crows. Science. 2002;297:981–3.PubMedCrossRefGoogle Scholar
  11. 11.
    Taylor JG, Kasderidis S, Trahanias P, Hartley M. A basis for cognitive machines. In: Kollias S, Stafylopatis A, Duch W, Oja E, editors. Artificial neural networks – ICANN 2006, Part I, Proceedings. Lecture notes in computer science, vol. 4131. Springer; 2006. p. 573–82. ISBN 13 978-3-540-38625-4.Google Scholar
  12. 12.
    Gergely G, Csibra G. Teleological reasoning in infancy: the naive theory of rational action. Trends Cogn Sci. 2003;7:287–92.PubMedCrossRefGoogle Scholar
  13. 13.
    Taylor NR, Taylor JG. A novel novelty detector. In: Marques de Sa J, Alexandre LA, Duch W, Mandovic D, editors. Artificial neural networks – ICANN 2007, Part II. Berlin: Springer; 2007. p. 973–83.CrossRefGoogle Scholar
  14. 14.
    Tanji J, Shima K, Mushiake H. Multiple cortical motor areas and temporal sequencing of movements. Brain Res Cogn Brain Res. 1996;5(1–2):117–22.PubMedCrossRefGoogle Scholar
  15. 15.
    Taylor NR, Taylor JG. The neural networks for language in the brain: creating LAD, ch. 9. In: Hecht-Nielsen R, McKenna T, editors. Computational models for neuroscience. London: Springer; 2003. p. 245–66.Google Scholar
  16. 16.
    Taylor JG, Taylor NR, Apolloni B, Orovas C. Constructing symbols as manipulable structures by recurrent networks proc ICANN 2002.Google Scholar
  17. 17.
  18. 18.
    Hurley S, Nudds M, editors. Rational animals? Oxford: Oxford University Press; 2006.Google Scholar
  19. 19.
    For results of the GNOSYS program see: http://www.cs.forth.gr/gnosys. Accessed 01 Jan 2009.
  20. 20.
    Damasio A. Descartes’ error. New York: Picador Press; 2000.Google Scholar
  21. 21.
    Taylor JG. The race for consciousness. Cambridge: MIT Press; 1999.Google Scholar
  22. 22.
    Crick F, Koch C. What is the function of the claustrum? Philos Trans R Soc B. 2005;360:1271–9.CrossRefGoogle Scholar
  23. 23.
    LaBerge D. Defining awareness by the triangular circuit of attention. Psyche. 1998;4(7). .http://psyche.cs.monash.edu.au/v4/psyche-4-07-laberge.html.
  24. 24.
    Shoemaker S. Self reference & self-awareness. J Philos. 1968;65:555–67.CrossRefGoogle Scholar
  25. 25.
    Fragopanagos N, Kockelkoren S, Taylor JG. A neurodynamic model of the attentional blink. Brain Res Cogn Brain Res. 2005;24:568–86.PubMedCrossRefGoogle Scholar
  26. 26.
    Zahavi D. Subjectivity & selfhood. Cambridge: MIT Press; 2005.Google Scholar
  27. 27.
    Sokolowski R. Introduction to phenomenology. Cambridge: Cambridge University Press; 2000.Google Scholar
  28. 28.
    Sartre J-P. Being and nothingness. London: Routledge; 1943. Google Scholar
  29. 29.
    Rizzolatti G, Fadiga L, Gallesse V, Fogassi L. Premotor cortex and the recognition of motor actions. Brain Res Cogn Brain Res. 1996;3:131–42.PubMedCrossRefGoogle Scholar
  30. 30.
    Raos V, Evangeliou MN, Savaki HE. Observation of action: grasping and the mind’s hand. Neuroimage. 2004;23:193–204.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of MathematicsKing’s College StrandLondonUK

Personalised recommendations