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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
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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 

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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