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Conference on Biomimetic and Biohybrid Systems

Living Machines 2017: Biomimetic and Biohybrid Systems pp 348–362Cite as

Non-ordinary Consciousness for Artificial Intelligence

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10384))

Abstract

Humans are active agents in the design of artificial intelligence (AI), and our input into its development is critical. A case is made for recognizing the importance of including non-ordinary functional capacities of human consciousness in the development of synthetic life, in order for the latter to capture a wider range in the spectrum of neurobiological capabilities. These capacities can be revealed by studying self-cultivation practices designed by humans since prehistoric times for developing non-ordinary functionalities of consciousness. A neurophenomenological praxis is proposed as a model for self-cultivation by an agent in an entropic world. It is proposed that this approach will promote a more complete self-understanding in humans and enable a more thoroughly mutually-beneficial relationship between in life in vivo and in silico.

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References

  1. McGinn, C.: Prehension: The Hand and the Emergence of Humanity. MIT Press, Massachusetts (2015)

    Google Scholar 

  2. Bostrom, N.: How long before superintelligence? Int. J. Future Stud. 2 (1998)

    Google Scholar 

  3. Bostrom, N.: Superintelligence: Paths, Dangers, Strategies. Oxford University Press, Oxford (2014)

    Google Scholar 

  4. Tani, J.: Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena. Oxford University Press, Oxford (2016)

    Book  Google Scholar 

  5. Hawkins, J., Blakeslee, S.: On Intelligence. Henry Holt and Company, New York (2007)

    Google Scholar 

  6. Bowler, P.J.: Evolution: The History of an Idea. University of California Press, Berkeley (2003)

    Google Scholar 

  7. Carhart-Harris, R.L., Leech, R., Hellyer, P.J., et al.: The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs (2014)

    Google Scholar 

  8. Carhart-Harris, R.L., Erritzoe, D., Williams, T., et al.: Neural correlates of the psychedelic state as determined by fMRI studies with psilocybin. Proc. Natl. Acad. Sci. 109, 2138–2143 (2012)

    Article  Google Scholar 

  9. Vollenweider, F.X., Kometer, M.: The neurobiology of psychedelic drugs: implications for the treatment of mood disorders. Nat. Rev. Neurosci. 11, 642–651 (2010)

    Article  Google Scholar 

  10. Grof, S.: LSD Psychotherapy. Multidisciplinary Association for Psychedelic Studies (M A P S), Santa Cruz (2001)

    Google Scholar 

  11. Tang, Y.-Y., Holzel, B.K., Posner, M.I.: The neuroscience of mindfulness meditation. Nat. Rev. Neurosci. 16, 213–225 (2015). doi:10.1038/nrn3916

    Article  Google Scholar 

  12. Zeidan, F., Martucci, K.T., Kraft, R.A., Gordon, N.S., McHaffie, J.G., Coghill, R.C.: Brain mechanisms supporting the modulation of pain by mindfulness meditation. J. Neurosci. 31, 5540–5548 (2011). doi:10.1523/JNEUROSCI.5791-10.2011

    Article  Google Scholar 

  13. Allen, M., Dietz, M., Blair, K.S., et al.: Cognitive-affective neural plasticity following active-controlled mindfulness intervention. J. Neurosci. 32, 15601–15610 (2012)

    Article  Google Scholar 

  14. Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition: The Realization of the Living. Springer, Netherlands (1991)

    Google Scholar 

  15. Varela, F.J., Rosch, E., Thompson, E.: The Embodied Mind: Cognitive Science and Human Experience. MIT Press, Massachusetts (1992)

    Google Scholar 

  16. O’Regan, J.K., Noë, A.: A sensorimotor account of vision and visual consciousness. Behav. Brain Sci. 24, 939–973 (2001)

    Article  Google Scholar 

  17. Verschure, P.F., Voegtlin, T., Douglas, R.J.: Environmentally mediated synergy between perception and behaviour in mobile robots. Nature 425, 620 (2003). doi:10.1038/nature02024

    Article  Google Scholar 

  18. Verschure, P.F.M.J.: Synthetic consciousness: the distributed adaptive control perspective. Philos. Trans. R. Soc. B Biol. Sci. (2016). doi:10.1098/rstb.2015.0448

    Google Scholar 

  19. Friston, K.: The free-energy principle: a unified brain theory? Nat. Rev. Neurosci. 11, 127–138 (2010). doi:10.1038/nrn2787

    Article  Google Scholar 

  20. Clark, A.: Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav. Brain Sci. 36, 181–204 (2013)

    Article  Google Scholar 

  21. Schjoedt, U., Andersen, M.: How does religious experience work in predictive minds? Relig. Brain Behav. 1–4 (2017). doi:10.1080/2153599X.2016.1249913

  22. Tononi, G.: The integrated information theory of consciousness: an updated account. Arch. Ital. Biol. 150, 56–90 (2011)

    Google Scholar 

  23. Tononi, G.: Consciousness as integrated information: a provisional manifesto. Biol. Bull. (2016)

    Google Scholar 

  24. Hohwy, J.: Attention and conscious perception in the hypothesis testing brain. Front. Psychol. 3, 96 (2012). doi:10.3389/fpsyg.2012.00096

    Article  Google Scholar 

  25. Jeannerod, M.: Neural simulation of action: a unifying mechanism for motor cognition. NeuroImage 14, S103–S109 (2001). doi:10.1006/nimg.2001.0832

    Article  Google Scholar 

  26. Hölzel, B.K., Lazar, S.W., Gard, T., et al.: How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective. Perspect. Psychol. Sci. 6, 537–559 (2011). doi:10.1177/1745691611419671

    Article  Google Scholar 

  27. Delevoye-Turrell, Y., Bobineau, C.: Motor consciousness during intention-based and stimulus-based actions: modulating attention resources through mindfulness meditation. Front. Psychol. 3, 290 (2012). doi:10.3389/fpsyg.2012.00290

    Article  Google Scholar 

  28. Pearson, J., Naselaris, T., Holmes, E.A., Kosslyn, S.M.: Mental imagery: functional mechanisms and clinical applications. Trends Cogn. Sci. 19, 590–602 (2015). doi:10.1016/j.tics.2015.08.003

    Article  Google Scholar 

  29. Spiers, H.J., Cothi, W., Bendor, D.: Manipulating hippocampus-dependent memories: to enhance, delete or incept? In: Hannula, D.E., Duff, M.C. (eds.) The Hippocampus from Cells to Systems: Structure, Connectivity, and Functional Contributions to Memory and Flexible Cognition, pp. 123–137. Springer, Cham (2017). doi:10.1007/978-3-319-50406-3_5

    Chapter  Google Scholar 

  30. Kumaran, D., Hassabis, D., McClelland, J.L.: What learning systems do intelligent agents need? Complementary learning systems theory updated. Trends Cogn. Sci. 20, 512–534 (2016). doi:10.1016/j.tics.2016.05.004

    Article  Google Scholar 

  31. Ramirez, S., Liu, X., MacDonald, C.J., et al.: Activating positive memory engrams suppresses depression-like behaviour. Nature 522, 335–339 (2015)

    Article  Google Scholar 

  32. Nabavi, S., Fox, R., Proulx, C.D., et al.: Engineering a memory with LTD and LTP. Nature 511, 348–352 (2014)

    Article  Google Scholar 

  33. Redondo, R.L., Kim, J., Arons, A.L., et al.: Bidirectional switch of the valence associated with a hippocampal contextual memory engram. Nature 513, 426–430 (2014)

    Article  Google Scholar 

  34. Chong, T.T.-J., Apps, M., Giehl, K., et al.: Neurocomputational mechanisms underlying subjective valuation of effort costs. PLoS Biol. 15, e1002598 (2017). doi:10.1371/journal.pbio.1002598

    Article  Google Scholar 

  35. Ide, J.S., Shenoy, P., Yu, A.J., Li, C.R.: Bayesian prediction and evaluation in the anterior cingulate cortex. J. Neurosci. 33, 2039 (2013). doi:10.1523/JNEUROSCI.2201-12.2013

    Article  Google Scholar 

  36. Schmidt, L., Lebreton, M., Cléry-Melin, M.-L., et al.: Neural mechanisms underlying motivation of mental versus physical effort. PLoS Biol. 10, e1001266 (2012). doi:10.1371/journal.pbio.1001266

    Article  Google Scholar 

  37. Domenech, P., Redouté, J., Koechlin, E., Dreher, J.-C.: The neuro-computational architecture of value-based selection in the human brain. Cereb. Cortex (2017)

    Google Scholar 

  38. Klyubin, A.S., Polani, D., Nehaniv, C.L.: Empowerment: a universal agent-centric measure of control. In: 2005 IEEE Congress on Evolution Computation, vol. 1, pp. 128–135 (2005)

    Google Scholar 

  39. Leon, P.S., Knock, S.A., Woodman, M.M., et al.: The Virtual brain: a simulator of primate brain network dynamics. Inf. Based Methods Neuroimaging Anal. Struct. Funct. Dyn. 8 (2015)

    Google Scholar 

  40. Petitmengin, C.: Describing one’s subjective experience in the second person: an interview method for the science of consciousness. Phenomenol Cogn. Sci. 5, 229–269 (2006). doi:10.1007/s11097-006-9022-2

    Article  Google Scholar 

  41. Petitmengin, C., Lachaux, J.-P.: Microcognitive science: bridging experiential and neuronal microdynamics. Front. Hum. Neurosci. 7, 617 (2013). doi:10.3389/fnhum.2013.00617

    Article  Google Scholar 

  42. Petitmengin, C., Baulac, M., Navarro, V.: Seizure anticipation: Are neurophenomenological approaches able to detect preictal symptoms? Epilepsy Behav. 9, 298–306 (2006). doi:10.1016/j.yebeh.2006.05.013

    Article  Google Scholar 

  43. Mason, C.: Engineering kindness: building a machine with compassionate intelligence. Int. J. Synth. Emot. IJSE 6, 1–23 (2015)

    Article  Google Scholar 

  44. Prassler, E., Lawitzky, G., Stopp, A., et al.: Advances in Human-Robot Interaction. Springer, Heidelberg (2004)

    Google Scholar 

  45. Coleman, D.: Human-Robot Interactions: Principles, Technologies and Challenges. Nova Science Publishers, Incorporated, New York (2015)

    Google Scholar 

  46. Kanda, T., Ishiguro, H.: Human-Robot Interaction in Social Robotics. Taylor & Francis, New York (2012)

    Book  Google Scholar 

  47. Jentsch, F., Barnes, M., Harris, P.D., et al.: Human-Robot Interactions in Future Military Operations. Ashgate Publishing Limited, Aldershot (2012)

    Google Scholar 

  48. Browning, F.: The Fate of Gender: Nature, Nurture, and the Human Future. Bloomsbury Publishing, London (2016)

    Google Scholar 

  49. Freud, S., Strachey, J.: An Outline of Psycho-analysis. W. W. Norton, New York (1989)

    Google Scholar 

  50. Jung, C.G.: The Psychology of the Transference. Taylor & Francis, New York (2013)

    Google Scholar 

  51. Gallese, V., Goldman, A.: Mirror neurons and the simulation theory of mind-reading. Trends Cogn. Sci. 2, 493–501 (1998)

    Article  Google Scholar 

  52. Heyes, C.: Where do mirror neurons come from? Neurosci. Biobehav. Rev. 34, 575–583 (2010)

    Article  Google Scholar 

  53. Iacoboni, M.: Imitation, empathy, and mirror neurons. Annu. Rev. Psychol. 60, 653–670 (2009)

    Article  Google Scholar 

  54. Uddin, L.Q., Iacoboni, M., Lange, C., Keenan, J.P.: The self and social cognition: the role of cortical midline structures and mirror neurons. Trends Cogn. Sci. 11, 153–157 (2007)

    Article  Google Scholar 

  55. Matsuda, G., Hiraki, K., Ishiguro, H.: EEG-based mu rhythm suppression to measure the effects of appearance and motion on perceived human likeness of a robot. J. Hum. Rob. Interact. 5, 68–81 (2015)

    Article  Google Scholar 

  56. Pineda, J.A.: The functional significance of mu rhythms: translating “seeing” and “hearing” into “doing”. Brain Res. Rev. 50, 57–68 (2005). doi:10.1016/j.brainresrev.2005.04.005

    Article  Google Scholar 

  57. Ulloa, E.R., Pineda, J.A.: Recognition of point-light biological motion: Mu rhythms and mirror neuron activity. Behav. Brain Res. 183, 188–194 (2007). doi:10.1016/j.bbr.2007.06.007

    Article  Google Scholar 

  58. Europe’s robots to become “electronic persons” under draft plan. In: Reuters (2017). Accessed 9 Mar 2017

    Google Scholar 

  59. Montes, J.: The Mars Ice House (2015)

    Google Scholar 

  60. Richter, C.G., Babo-Rebelo, M., Schwartz, D., Tallon-Baudry, C.: Phase-amplitude coupling at the organism level: the amplitude of spontaneous alpha rhythm fluctuations varies with the phase of the infra-slow gastric basal rhythm. NeuroImage 146, 951–958 (2017). doi:10.1016/j.neuroimage.2016.08.043

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Newcastle, Newcastle, Australia

    Gabriel Axel Montes

  2. Hunter Medical Research Institute, Newcastle, Australia

    Gabriel Axel Montes

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  1. Gabriel Axel Montes
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Correspondence to Gabriel Axel Montes .

Editor information

Editors and Affiliations

  1. University of Lincoln, Lincoln, United Kingdom

    Michael Mangan

  2. Stanford University, Stanford, California, USA

    Mark Cutkosky

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Anna Mura

  4. Universitat Pompeu Fabra, Barcelona, Spain

    Paul F.M.J. Verschure

  5. University of Sheffield, Sheffield, United Kingdom

    Tony Prescott

  6. Bristol University, Bristol, United Kingdom

    Nathan Lepora

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Montes, G.A. (2017). Non-ordinary Consciousness for Artificial Intelligence. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P., Prescott, T., Lepora, N. (eds) Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science(), vol 10384. Springer, Cham. https://doi.org/10.1007/978-3-319-63537-8_29

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  • DOI: https://doi.org/10.1007/978-3-319-63537-8_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63536-1

  • Online ISBN: 978-3-319-63537-8

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