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Bringing Together Different Pieces to Better Understand Whole Minds

  • Dean PettersEmail author
Chapter
Part of the Cognitive Systems Monographs book series (COSMOS, volume 22)

Abstract

This collection of chapters looks at a diverse set of topics in the study of cognition. These topics do not of course, despite their broad range, include all the pieces needed for a whole mind. However, what this collection provides is explorations of how some very different research topics can be brought together through shared themes and outlook.

Keywords

Virtual Machine Agent Program Agent Architecture Proof Rule Data Mining System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Beaudoin L (1994) Goal processing in autonomous agents. Ph.D. thesis, School of Computer Science, The University of Birmingham. Available at http://www.cs.bham.ac.uk/research/cogaff/
  2. Sloman A (1978) The computer revolution in philosophy. Harvester Press (and Humanities Press), Sussex. http://www.cs.bham.ac.uk/research/cogaff/crp
  3. Sloman A (1982) Towards a grammar of emotions. New Univ Q 36(3):230–238Google Scholar
  4. Sloman A (1993) Prospects for AI as the general science of intelligence. In: Sloman A, Hogg D, Humphreys G, Partridge D, Ramsay A (eds) Prospects for artificial intelligence, pp 1–10. IOS Press, AmsterdamGoogle Scholar
  5. Sloman A (2000) Architectural requirements for human-like agents both natural and artificial. (what sorts of machines can love?). In: Dautenhahn K (ed) Human cognition and social agent technology. Advances in consciousness research, pp 163–195. John Benjamins, AmsterdamGoogle Scholar
  6. Sloman A (2012) Meta-morphogenesis and the creativity of evolution. In: Besold T, Kuehnberger K, Schlorlemmer M, Smaill A (eds) proceedings of ECAI 2012 workshop on computational creativity, concept invention, and general intelligence, pp 48–55. ECAI, MontpellierGoogle Scholar
  7. Sloman A (2013a) Aaron sloman develops a distinctive view of virtual machinery and evolution of mind (part 1). In: Cooper S, van Leeuwen J (eds) Alan Turing—his work and impact. Elsevier Science, Amsterdam, pp 97–101Google Scholar
  8. Sloman A (2013b) Aaron sloman draws together—absolves alan turing of—the mythical turing test. In: Cooper S, van Leeuwen J (eds) Alan Turing—his work and impact, pp 606–610. Elsevier Science, AmsterdamGoogle Scholar
  9. Sloman A (2013c) Aaron sloman draws together—virtual machinery and evolution of mind (part 2). In: Cooper S, van Leeuwen J (eds) Alan Turing—his work and impact, pp 574–579. Elsevier Science, AmsterdamGoogle Scholar
  10. Sloman A (2013d) Aaron sloman travels forward to—virtual machinery and evolution of mind (part 3). Meta-morphogenesis: evolution of information-processing machinery. In: Cooper S, van Leeuwen J (eds) Alan Turing—his work and impact, pp 849–856. Elsevier Science, AmsterdamGoogle Scholar
  11. Sloman A (2014) Biological, computational and robotic connections with kant’s theory of mathematical knowledge. AI commun 27(1):53–62, (an invited paper for the“Turing and Anniversary Session” at ECAI2012)Google Scholar
  12. Sloman A, Ford A (2014) Interview: artificial intelligence, natural intelligence and evolution. http://www.cs.bham.ac.uk/research/projects/cogaff/agi-interview-sloman.pdf. Accessed 26 Feb 2014
  13. Turing A (1950) Computing machinery and intelligence. Mind 59:433–460, (reprinted in Feigenbaum EA, Feldman J (eds) Computers and thought, pp 11–35. McGraw-Hill, New York, 1963)Google Scholar
  14. Wright I, Sloman A, Beaudoin L (1996) Towards a design-based analysis of emotional episodes. Philos Psychiatry Psychol 3(2):101–126CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Social SciencesUniversity of NorthamptonNorthamptonUK

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