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Bi-Sapient Structures for Intelligent Control

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Toward Artificial Sapience

Abstract

The control of autonomous systems requires provision of at least a synthetic form of intelligence or sapience. While descriptions of these are common, there is no current model which relates their definitions to the physical structure of an information-processing system. Sapience is a direct result of hierarchical structure. In this chapter we describe the self-consistent general model of a birational hierarchy, and associate data, information, understanding, sapience and wisdom with aspects of its constitution. In a birational hierarchy there are two sapiences, one associated with each hyperscalar correlation, and their interactions support the most general information-processing relationship – wisdom. One and the same general model applies both to material structure and information-processing structure: the brain is the unique example of material-structural and information-processingstructural correspondence.We attribute the stabilization of dynamic self-observation to anticipative stasis neglect, and propose that neuron mirroring provides a useful metaphor for all of the brain’s information-processing, including the bi-sapient interactionswhich generate auto-empathy.We conclude that hyperscalar bi-sapience is responsible for Metzinger’s ‘illusory self’, for Theory of Self, presence transfer, and Theory of Mind, and indicate how multiscalar access from within hyperscale provides a massive advantage in promoting survival.

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References

  • Akelaitis, A.J. (1941) Psychobiological Studies Following Section ofthe corpus callosum: a Preliminary Report. Amer. J.Psychiat. 97, 1147–1157.

    Google Scholar 

  • Akelaitis, A.J., Risteen, W.A., Herren, R.Y. and van Wagenen, W.P.(1942) Studies on the corpus callosum. III. A contribution to theStudy of Dyspraxia in Epileptics Following Partial and CompleteSection of the corpus callosum. Arch. Neurol. Psychiat. (Chic.) 47,971–1008.

    Google Scholar 

  • Albus, J.S. (2001) Features of Intelligence Required by UnmannedGround Vehicles. Available on the NIST publications list as http://www.isd.cme.nist.gov/documents/albus/Features_of_Intelligence.pdf

    Google Scholar 

  • Antoniou, I. (1995) Extension of the Conventional Quantum Theory andLogic for Large Systems. Presented at the International Conference“Einstein meets Magritte”, Brussels, 29 May – 3 June.

    Google Scholar 

  • Antrobus, J.S. and Bertini, M. (1992) The Neuropsychology of Sleepand Dreaming. Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Aristoteles (1857) The Metaphysics of Aristotle. Translatedfrom the Greek by J. H. Macmahon. H.G. Bohn, London.

    Google Scholar 

  • Bateson, G. (1972) Steps to an Ecology of Mind. Ballantine, New York.

    Google Scholar 

  • Cottam, R. and Saunders, G.A. (1973) The Elastic Constants of GaAsfrom 2K to 320K. J. Phys. C: Solid State Phys. 6, 2015–2118.

    Google Scholar 

  • Cottam, R., Langloh, N., Ranson, W. and Cottam, E. (1995) HumbleUnification Theory: Partial Comprehension in a Quasi-ParticulateUniverse. Presented at the International Conference “Einstein MeetsMagritte”, Brussels, Belgium, 29 May – 3 June.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (1997) Localization andNonlocality in Computation,” In: M. Holcombe and R.C. Paton (Eds.),Information Processing in Cells and Tissues. Plenum Press, New York, pp. 197–202.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (1998) Emergence: Half aQuantum Jump? Acta Polytechnica Scandinavica 91, 12–19.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (1999a) A BiologicallyConsistent Hierarchical Framework for Self-Referencing SurvivalistComputation. In: D.M. Dubois (Ed.), Computing AnticipatorySystems: CASYS’98 - 2nd International Conference, AIP ConferenceProceedings 465. American Inst. of Physics, Woodbury NY, pp.252–262.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (1999b) ABiologically-Consistent Diffuse Semiotic Architecture forSurvivalist Information Processing. Presented at the Seventh WorldCongress of the International Association for Semiotic Studies: SignProcesses in Complex Systems, Dresden, Germany, 6–11 October.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2000) A Diffuse BiosemioticModel for Cell-to-Tissue Computational Closure. BioSystems 55,159–171.

    Article  Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2001) Cross-scale, Richness,Cross-assembly, Logic 1, Logic 2, Pianos and Builders. Presented atthe 2nd International SEE Conference: The Integration ofInformation Processing, Toronto, 6–8 October.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2003a) AutocreativeHierarchy I: Structure – Ecosystemic Dependence and Autonomy. SEEDJournal 4, 24–41.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2003b) AutocreativeHierarchy II: Dynamics – Self-organization, Emergence andLevel-changing. In: H. Hexmoor (Ed.), InternationalConference on Integration of Knowledge Intensive Multi-AgentSystems. IEEE: Piscataway, NJ, pp. 766–773.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2003c) Sapient Structuresfor Sapient Control. In: H. Hexmoor (Ed.), InternationalConference on Integration of Knowledge Intensive Multi-AgentSystems. IEEE: Piscataway, NJ, pp. 178–182.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2003d) Back to the Future:Anatomy of a System. In: D.M. Dubois (Ed.), ComputingAnticipatory Systems: CASYS’98 – 6th International Conference, AIPConference Proceedings 718. American Inst. of Physics, Woodbury NY,pp. 160–165.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2003e) Abstract or Die:Life, Artificial Life and (v)organisms. In: E.R. Messina and A.M.Meystel (Eds.), Performance Metrics for Intelligent Systems:Proceedings of PerMIS ’03 Workshop, NIST Special Publication 1014,paper #WeAM1-4. NIST: Gaithersburg, MD, pp. 1–7.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2004) Diffuse Rationality inComplex Systems. In: Y. Bar-Yam and A.A. Minai (Eds.),Unifying Themes in Complex Systems, vol. II. Westview Press, Boulder, CO, pp. 355–362.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2005) Life and SimpleSystems. Systems Research and Behavioral Science 22, 413–430.

    Article  Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2006a) Living in Hyperscale:Internalization as a Search for Reunification. In: J. Wilby, J.K.Allen and C. Loureiro-Koechlin (Eds.), Proceedings of the50th Annual Meeting of the International Society for the SystemsSciences, paper #2006-362. ISSS: Asilomar, CA, pp. 1–22.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2006b) Replicating RobertRosen’s (M,R) Systems. In: J. Wilby, J.K. Allen and C.Loureiro-Koechlin (Eds.), Proceedings of the 50th AnnualMeeting of the International Society for the Systems Sciences,paper #2006-378. ISSS: Asilomar, CA, pp. 1–10.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2007a) Re-Mapping RobertRosen’s (M,R) Systems. Chemistry and Biodiversity, in press.

    Google Scholar 

  • Cottam, R., Ranson, W. and Vounckx, R. (2007b) Hyperscale Puts thesapiens in homo. New Mathematics and NaturalComputation, in press.

    Google Scholar 

  • Deacon, T.W. (1997) The Symbolic Species: The Co-Evolution ofLanguage and the Brain. W.W. Norton & Co., New York.

    Google Scholar 

  • Dubois, D.M. (1999) Review of Incursive, Hyperincursive andAnticipatory Systems – Foundation of Anticipation inElectromagnetism. In: D.M. Dubois (Ed.), ComputingAnticipatory Systems: CASYS’98 - 2nd International Conference, AIPConference Proceedings 465. American Inst. of Physics, Woodbury NY, pp. 3–30.

    Google Scholar 

  • Ellenbogen, J., Hu, P.T., Payne, J.D., Titone, D. and Walker, M.P.(2007) Human Relational Memory Requires Time and Sleep. Proc. Nat.Acad. Sci. USA 104, published online 20 April,http://www.pnas.org/cgi/content/abstract/0700094104v1

    Google Scholar 

  • Fadiga, L., Fogassi, L., Pavesi, G. and Rizzolati, G. (1995) MotorFacilitation During Action Observation: A Magnetic StimulationStudy. J. Neurophys. 73, 2608–2611.

    Google Scholar 

  • Fogel, D.B. (2002) Evolving Solutions that are Competitive withHumans. In: In: E.R. Messina and A.M. Meystel (Eds.),Performance Metrics for Intelligent Systems: Proceedings ofPerMIS ’02 Workshop, NIST Special Publication 990, paper #PL1-1.NIST: Gaithersburg, MD, pp. 1–7.

    Google Scholar 

  • Gallese, V. and Lakoff, G. (2005) The Brain’s Concepts: The Role ofthe Sensory-Motor System in Conceptual Knowledge. Cog. Neuropsy. 22,455–479.

    Article  Google Scholar 

  • Haken, H. (1984) The Science of Structure: Synergetics.Prentice Hall, New York.

    Google Scholar 

  • Kohler, E., Keysers, C., Umiltà, M.A., Fogassi, L., Gallese, V. and Rizzolati, G. (2002) Hearing Sounds, Understanding Actions:Action Representation in Mirror Neurons. Science 297, 846–848.

    Article  Google Scholar 

  • Langloh, N., Cottam, R., Vounckx, R. and Cornelis, J. (1993) TowardsDistributed Statistical Processing: A Query and ReflectionInteraction Using Magic: Mathematical Algorithms GeneratingInterdependent Confidences. In: S.D. Smith and R.F. Neale (Eds.), Optical Information Technology: a State of the Art Report. Springer-Verlag, Berlin, pp. 303–319.

    Google Scholar 

  • LeDoux, J.E. (1992) Brain Mechanisms of Emotion and EmotionalLearning. Curr. Opin. Neurobiology 2, 191–197.

    MathSciNet  Google Scholar 

  • Matsuno, K. (2000) The Internalist Stance: A Linguistic PracticeEnclosing Dynamics. Ann. New York Acad. Sci. 901, 322–349.

    Google Scholar 

  • Matthews, G., Zeidner, M. and Roberts, R.D. (2004) EmotionalIntelligence: Science and Myth. MIT Press, Cambridge, MA.

    Google Scholar 

  • Metzinger, T. (2004) The Subjectivity of Subjective Experience: ARepresentationalist Analysis of the First-Person Perspective.Networks 3–4, 33–64.

    Google Scholar 

  • Metzinger, T. and Gallese, V. (2003) The Emergence of a SharedAction Ontology: Building Blocks for a Theory. Consciousness andCognition 12, 549–571.

    Article  Google Scholar 

  • Molnar-Szakacs, I. and Overy, K. (2006) Music and Mirror Neurons:from Motion to e’motion. Social Cog. Affect. Neurosci. 1, 235–241.

    Article  Google Scholar 

  • Oberman, L.M., Pineda, J.A. and Ramachandran, V.S. (2007) The HumanMirror Neuron System: A Link Between Action Observation and SocialSkills. Social Cog. Affect. Neurosci. 2, 62–66.

    Article  Google Scholar 

  • Pearce, J.M.S. (2007) Corpus Callosum. Eur. Neurol. 57, 249–250.

    Article  Google Scholar 

  • Peirce, C.S. (1998) Collected Papers of Charles SandersPeirce. C. Hartshorne, P. Weiss and A. Burks (Eds.), Thoemmes Continuum, New York.

    Google Scholar 

  • Pribram, K.H. (1999) Free Will: The Brain as an Anticipatory System.In: D.M. Dubois (Ed.), Computing Anticipatory Systems:CASYS’98 - 2nd International Conference, AIP Conference Proceedings465. American Inst. of Physics, Woodbury NY, pp. 53–72.

    Google Scholar 

  • Pribram, K.H. (2001) Proposal for a Quantum Physical Basis forSelective Learning. Presented at the Fourth International Conferenceon Emergence, Complexity, Hierarchy and Order, Odense, Denmark, 31July – 4 August.

    Google Scholar 

  • Rock, A. (2004) The Mind at Night: the New Science of How and Why weDream. Basic Books, New York.

    Google Scholar 

  • Rosen, R. (1991) Life Itself: A Comprehensive Inquiry into theNature, Origin and Fabrication of Life. Columbia U.P., New York.

    Google Scholar 

  • Rosen, R. (1985) Anticipatory Systems: Philosophical, Mathematicaland Methodological Foundations. Pergamon Press, Oxford.

    Google Scholar 

  • Salthe, S.N. (1993) Development and Evolution: Complexity and Changein Biology. MIT Press, Cambridge, MA.

    Google Scholar 

  • Sperry, R.W., Gazzaniga, M.S. and Bogen, J.E. (1969)Interhemispheric Relationships: the Neocortical Commisures:Syndromes of Hemisphere Disconnection. In: P.J. Vinken and G.W.Bruyn (Eds.), Handbook of Clinical Neurology, vol 4.North-Holland, Amsterdam, pp. 273–290.

    Google Scholar 

  • Williams, J.H.G., Whiten, A., Suddendorf, T. and Perrett, D.I.(2001) Imitation, Mirror Neurons and Autism. Neurosci. Behav. Rev.25, 287–295.

    Google Scholar 

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Cottam, R., Ranson, W., Vounckx, R. (2008). Bi-Sapient Structures for Intelligent Control. In: Mayorga, R.V., Perlovsky, L.I. (eds) Toward Artificial Sapience. Springer, London. https://doi.org/10.1007/978-1-84628-999-6_11

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  • DOI: https://doi.org/10.1007/978-1-84628-999-6_11

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