Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-05T00:45:38.673Z Has data issue: false hasContentIssue false
  • English
  • Français

What else can brains do?

Published online by Cambridge University Press:  10 May 2013

Aaron Sloman
Aaron Sloman*
Affiliation:
School of Computer Science, University of Birmingham, Birmingham B15 2TTUnited Kingdom. [email protected]://www.cs.bham.ac.uk/~axs
Get access Rights & Permissions [Opens in a new window]

Abstract

The approach Clark labels “action-oriented predictive processing” treats all cognition as part of a system of on-line control. This ignores other important aspects of animal, human, and robot intelligence. He contrasts it with an alleged “mainstream” approach that also ignores the depth and variety of AI/Robotic research. I don't think the theory presented is worth taking seriously as a complete model, even if there is much that it explains.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 230 - 231
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Chappell, J. & Sloman, A. (2007) Natural and artificial meta-configured altricial information-processing systems. International Journal of Unconventional Computing 3(3):211–39. Available at: http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0609.Google Scholar
Chittka, L. & Skorupski, P. (2011) Information processing in miniature brains. Proceedings of the Royal Society of London, B: Biological Sciences 278(1707):885–88. doi: 10.1098/rspb.2010.2699.Google ScholarPubMed
Gibson, J. J. (1966) The senses considered as perceptual systems. Houghton Mifflin.Google Scholar
Hogg, D. (1983) Model-based vision: A program to see a walking person. Image and Vision Computing 1(1):5–20.Google Scholar
Kant, I. (1781/1929) Critique of pure reason, trans. Smith, N. Kemp. Macmillan. (Original work published in 1781; Kemp Smith translation 1929).Google Scholar
Karmiloff-Smith, A. (1992) Beyond modularity: A developmental perspective on cognitive science. MIT Press.Google Scholar
McCarthy, J. (2008) The well-designed child. Artificial Intelligence 172(18):2003–14.Google Scholar
Powers, W. T. (1973) Behavior, the control of perception. Aldine de Gruyter.Google Scholar
Sloman, A. (1971) Interactions between philosophy and AI: The role of intuition and non-logical reasoning in intelligence. In: Proceedings of the 2nd IJCAI [International Joint Conference on Artificial Intelligence], ed. Cooper, D. C., pp. 209–26. William Kaufmann. Available at: http://www.cs.bham.ac.uk/research/cogaff/04.html#200407.Google Scholar
Sloman, A. (1978) The computer revolution in philosophy. Harvester Press/Humanities Press.Google Scholar
Sloman, A. (1979) The primacy of non-communicative language. In: The analysis of meaning: Informatics 5, Proceedings ASLIB/BCS Conference, Oxford, March 1979, ed. MacCafferty, M. & Gray, K., pp. 1–15. Aslib. Available at: http://www.cs.bham.ac.uk/research/projects/cogaff/81-95.html#43.Google Scholar
Sloman, A. (1982) Image interpretation: The way ahead? In: Physical and biological processing of images (Proceedings of an International Symposium organised by The Rank Prize Funds, London, 1982), ed. Braddick, O. & Sleigh, A., pp. 380–401. Springer-Verlag. Available at: http://www.cs.bham.ac.uk/research/projects/cogaff/06.html#0604.Google Scholar
Sloman, A. (1987) Reference without causal links. In: Advances in artificial intelligence, vol. 2, ed. du Boulay, J. B. H., Hogg, D. & Steels, L., pp. 369–81. North-Holland. Available at: http://www.cs.bham.ac.uk/research/projects/cogaff/81-95.html#5.Google Scholar
Sloman, A. (1989) On designing a visual system (towards a Gibsonian computational model of vision). Journal of Experimental and Theoretical AI 1(4):289–37. Available at: http://www.cs.bham.ac.uk/research/projects/cogaff/81-95.html#7.Google Scholar
Sloman, A. (1993) The mind as a control system. In: Philosophy and the cognitive sciences, ed. Hookway, C. & Peterson, D., pp. 69–110. Cambridge University Press. Available at: http://www.cs.bham.ac.uk/research/projects/cogaff/81-95.html#18.Google Scholar
Sloman, A. (1996) Actual possibilities. In: Principles of knowledge representation and reasoning: Proceedings of the 5th International Conference (KR '96), ed. Aiello, L. & Shapiro, S., pp. 627–38. Morgan Kaufmann.Google Scholar
Sloman, A. (2002) Diagrams in the mind. In: Diagrammatic representation and reasoning, ed. Anderson, M., Meyer, B. & Olivier, P., pp. 7–28. Springer-Verlag.CrossRefGoogle Scholar
Sloman, A. (2006) Requirements for a fully deliberative architecture (or component of an architecture). Research Note No. COSY-DP-0604, May 2006. School of Computer Science, University of Birmingham, UK.Google Scholar
Sloman, A. (2008) A multi-picture challenge for theories of vision. Research Note No. COSY-PR-0801. School of Computer Science, University of Birmingham, UK.Google Scholar
Sloman, A. (2009) Some requirements for human-like robots: Why the recent over-emphasis on embodiment has held up progress. In: Creating brain-like intelligence, ed. Sendhoff, B., Koerner, E., Sporns, O., Ritter, H. & Doya, K., pp. 248–77. Springer-Verlag.Google Scholar
Sloman, A. (2010) If learning maths requires a teacher, where did the first teachers come from? In: Proceedings of the International Symposium on Mathematical Practice and Cognition, AISB 2010 Convention, De Montfort University, Leicester, ed. Pease, A., Guhe, M. & Smaill, A., pp. 30–39. AISB (Society for the Study of Artificial Intelliegence and Simulation of Behaviour).Google Scholar
Sloman, A. (2011a) Varieties of meta-cognition in natural and artificial systems. In: Metareasoning: Thinking about thinking, ed. Cox, M. T. & Raja, A., pp. 307–23. MIT Press.Google Scholar
Sloman, A. (2011b) What's vision for, and how does it work? From Marr (and earlier) to Gibson and beyond. (Online tutorial presentation, September 2011. Available at: http://www.slideshare.net/asloman/).Google Scholar
Sloman, A. (2012 ) Paper 4: Virtual machinery and evolution of mind (Part 3). Meta-morphogenesis: Evolution of information-processing machinery. In: Alan Turing – his work and impact, ed. Cooper, S. B. & van Leeuwen, J.. Elsevier.Google Scholar
Trehub, A. (1991) The cognitive brain. MIT Press. Available at: http://www.people.umass.edu/trehub/.Google Scholar
Turing, A. M. (1952) The chemical basis of morphogenesis. Philosophical Transactions of Royal Society of London B 237:37–72.Google Scholar