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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akelaitis, A.J. (1941) Psychobiological Studies Following Section ofthe corpus callosum: a Preliminary Report. Amer. J.Psychiat. 97, 1147–1157.
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.
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
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.
Antrobus, J.S. and Bertini, M. (1992) The Neuropsychology of Sleepand Dreaming. Lawrence Erlbaum Associates, Hillsdale, NJ.
Aristoteles (1857) The Metaphysics of Aristotle. Translatedfrom the Greek by J. H. Macmahon. H.G. Bohn, London.
Bateson, G. (1972) Steps to an Ecology of Mind. Ballantine, New York.
Cottam, R. and Saunders, G.A. (1973) The Elastic Constants of GaAsfrom 2K to 320K. J. Phys. C: Solid State Phys. 6, 2015–2118.
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.
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.
Cottam, R., Ranson, W. and Vounckx, R. (1998) Emergence: Half aQuantum Jump? Acta Polytechnica Scandinavica 91, 12–19.
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.
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.
Cottam, R., Ranson, W. and Vounckx, R. (2000) A Diffuse BiosemioticModel for Cell-to-Tissue Computational Closure. BioSystems 55,159–171.
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.
Cottam, R., Ranson, W. and Vounckx, R. (2003a) AutocreativeHierarchy I: Structure – Ecosystemic Dependence and Autonomy. SEEDJournal 4, 24–41.
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.
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.
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.
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.
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.
Cottam, R., Ranson, W. and Vounckx, R. (2005) Life and SimpleSystems. Systems Research and Behavioral Science 22, 413–430.
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.
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.
Cottam, R., Ranson, W. and Vounckx, R. (2007a) Re-Mapping RobertRosen’s (M,R) Systems. Chemistry and Biodiversity, in press.
Cottam, R., Ranson, W. and Vounckx, R. (2007b) Hyperscale Puts thesapiens in homo. New Mathematics and NaturalComputation, in press.
Deacon, T.W. (1997) The Symbolic Species: The Co-Evolution ofLanguage and the Brain. W.W. Norton & Co., New York.
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.
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
Fadiga, L., Fogassi, L., Pavesi, G. and Rizzolati, G. (1995) MotorFacilitation During Action Observation: A Magnetic StimulationStudy. J. Neurophys. 73, 2608–2611.
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.
Gallese, V. and Lakoff, G. (2005) The Brain’s Concepts: The Role ofthe Sensory-Motor System in Conceptual Knowledge. Cog. Neuropsy. 22,455–479.
Haken, H. (1984) The Science of Structure: Synergetics.Prentice Hall, New York.
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.
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.
LeDoux, J.E. (1992) Brain Mechanisms of Emotion and EmotionalLearning. Curr. Opin. Neurobiology 2, 191–197.
Matsuno, K. (2000) The Internalist Stance: A Linguistic PracticeEnclosing Dynamics. Ann. New York Acad. Sci. 901, 322–349.
Matthews, G., Zeidner, M. and Roberts, R.D. (2004) EmotionalIntelligence: Science and Myth. MIT Press, Cambridge, MA.
Metzinger, T. (2004) The Subjectivity of Subjective Experience: ARepresentationalist Analysis of the First-Person Perspective.Networks 3–4, 33–64.
Metzinger, T. and Gallese, V. (2003) The Emergence of a SharedAction Ontology: Building Blocks for a Theory. Consciousness andCognition 12, 549–571.
Molnar-Szakacs, I. and Overy, K. (2006) Music and Mirror Neurons:from Motion to e’motion. Social Cog. Affect. Neurosci. 1, 235–241.
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.
Pearce, J.M.S. (2007) Corpus Callosum. Eur. Neurol. 57, 249–250.
Peirce, C.S. (1998) Collected Papers of Charles SandersPeirce. C. Hartshorne, P. Weiss and A. Burks (Eds.), Thoemmes Continuum, New York.
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.
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.
Rock, A. (2004) The Mind at Night: the New Science of How and Why weDream. Basic Books, New York.
Rosen, R. (1991) Life Itself: A Comprehensive Inquiry into theNature, Origin and Fabrication of Life. Columbia U.P., New York.
Rosen, R. (1985) Anticipatory Systems: Philosophical, Mathematicaland Methodological Foundations. Pergamon Press, Oxford.
Salthe, S.N. (1993) Development and Evolution: Complexity and Changein Biology. MIT Press, Cambridge, MA.
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.
Williams, J.H.G., Whiten, A., Suddendorf, T. and Perrett, D.I.(2001) Imitation, Mirror Neurons and Autism. Neurosci. Behav. Rev.25, 287–295.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag London Limited
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-84628-999-6_11
Publisher Name: Springer, London
Print ISBN: 978-1-84628-998-9
Online ISBN: 978-1-84628-999-6
eBook Packages: Computer ScienceComputer Science (R0)