Skip to main content
SpringerLink
Log in

Anticipation and Computation: Is Anticipatory Computing Possible?

  • Chapter
  • First Online:
Anticipation Across Disciplines

Part of the book series: Cognitive Systems Monographs ((COSMOS,volume 29))

Abstract

Anticipation, a definitory characteristic of the living, is expressed in action. It implies awareness of past, present, and future, i.e., of time. Anticipatory processes pertain to the world’s dynamics. Anticipation also implies an observation capability, the acquired function of processing what is observed, and the ability to effect change. Computation means processing quantitative distinctions of physical entities and of those that inform the condition and behavior of the living. Autonomic processing is the prerequisite for anticipatory expression. In the physical, processing is reactive; in the living it is autonomic. Automated calculations, inspired by human “computers,” are different in nature from those involved in living dynamics. To distinguish between anticipatory and predictive computation is to account for the role of the possible future in dealing with change.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    He also wrote the famous Istikhvay Tarikh al-Yahud (Extraction of the Jewish Era), a lunar cycle-based calendar for the Jewish holidays. This elaborate calendar, still in use, is a suggestion of his possible Jewish roots. (At the time of his activity, he was a Muslim scholar of the early stages of the creed, after he gave up his Zoroastrian identity). Inspired by the Hebrew Mishnat ha Middot (Treatise on Measures), he suggested elements of geometry well aligned with those of Euclid. That was a world of practiced diversity, including diversity of ideas.

References

  1. Mitchell, M.: Is the universe a universal computer? Science 298(5591), 65–68 (2002)

    Article  Google Scholar 

  2. Deutsch, D.: Quantum theory, the Church-Turing principle and the universal quantum computer. Proc. R. Soc. London A 400, 97–117 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  3. Hawking, S.: Stephen Hawking warns artificial intelligence could end mankind. Interview with Rory Cellan-Jones, BBC. http://www.bbc.com/news/technology-30290540. Accessed 2 Dec 2014

  4. Kurzweil, R.: The Singularity is Near. Viking Press, New York (2005)

    Google Scholar 

  5. Shannon, C.: Interview: Father of the Electronic Information Age by Anthony Liversidge, Omni, August (1987)

    Google Scholar 

  6. Minh, V., Kavukculoglu, K., Silver, D., et al.: Human-level control through deep reinforcement learning. Nature 518, 529–533 (2015). http://www.nature.com/search?journals=nature%2Cnews&q=volodymyr&shunter=1424698400067. Accessed 27 Feb 2015

  7. Weston, J., Bordes, A., Chopra, S, Mikolov, T.: Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks (2015). http://arxiv.org/pdf/1502.05698v3.pdf. Accessed 3 March 2015

  8. Monfort, N.: Twisty Little Passages: An Approach to Interactive Fiction. MIT Press, Cambridge (2005)

    Google Scholar 

  9. Wolfram, S.: A New Kind of Science. Wolfram Media, Champaign (2002)

    MATH  Google Scholar 

  10. Zuse, K.: Rechnender Raum. Friedrich Vieweg & Sohn, Braunschweig. English: Calculating space, An MIT Technical Translation Project MAC, MIT, 1970. AZTEC School of Languages, Inc., Cambridge (1969)

    Google Scholar 

  11. Gödel, K.: Über formal unentscheidbare Sätze der Principa Mathematica und verwandte Systeme, Monatshefte für Mathematik und Physik. 38, 173–198 (1931). The first incompleteness theorem originally appeared as Theorem VI

    Google Scholar 

  12. Nadin, M.: G-Complexity quantum computation and anticipatory processes. Comput. Commun. Collab. 2(1), 16–34 (2014)

    Google Scholar 

  13. England, J.L.: Statistical physics of self-replication. J. Chem. Phys. 139, 12, 121293 (2013)

    Google Scholar 

  14. Carroll, L.: Through the Looking Glass. MacMillan, London (1871). http://www.brainyquote.com/quotes/quotes/l/lewiscarro389152.html

  15. Newton, I.: Philosophiae Naturalis Principia Mathematica (Mathematical Principles of Natural Philosophy) (1687)

    Google Scholar 

  16. Windelband, W.: Aufsätze und Reden zur Philosophie und ihrer Geschichte, 5. Präludien, Tübingen (1915)

    Google Scholar 

  17. Montgomery, R.: Gauge theory of the falling cat. In: Enos, M.J. (ed.) Dynamics and Control of Mechanical Systems, American Mathematical Society, pp. 193–218 (1993). http://dictionary.sensagent.com/Falling%20cat%20problem/en-en/

  18. Mehta, R.: Mathematics of the Falling Cat (2012). http://www.math.smith.edu/~rmehta/slides/fallingcatnew.pdf

  19. Kane, T.R., Scher, M.: A dynamical explanation of the falling of the cat phenomenon. Int. J. Solids Struct. 5, 663–670 (Pergamon Press, London, 1969)

    Google Scholar 

  20. Heisenberg, W.: Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik [On the clear content of quantum-theoretic kinematics and mechanics]. Z. Angew. Phys. 43(3–4), 172–198 (1927)

    MATH  Google Scholar 

  21. Fletcher, P.C., Anderson, J.M., Shanks, D.R., Honey, R., Carpenter, T.A., Donovan, T., Papadakis, N., Bullmore, E.T.: Responses of human frontal cortex to surprising events are predicted by formal associative learning theory. Nat. Neurosci. 4(10), 1043–1048 (2001)

    Google Scholar 

  22. Nadin, M.: Anticipation in Knowledge Media Design (2nd edn). Knowledge Media Design (Stefan, P., (ed.)), pp. 71–90. Oldenburg, Berlin (2006)

    Google Scholar 

  23. Kahneman, D. and Tversky A.: On the reality of cognitive illusions. Psychol. Rev. 103(3), 582–591 (1996)

    Google Scholar 

  24. Delfabbro, P.: The stubborn logic of regular gamblers: obstacles and dilemmas in cognitive gambling research. J. Gambl. Stud. 20(1), 1–21 (2004)

    Article  Google Scholar 

  25. Gigerenzer, G., Muir Gray, J.A. (eds.): Better Doctors, Better Patients, Better Decisions: Envisioning Health Care 2020. MIT Press, Cambridge, (2011)

    Google Scholar 

  26. Sedlmeier, P., Gigerenzer, G.: Do studies of statistical power have an effect of the power of studies? Psychol. Bull. 105(2), 309–316 (1989)

    Article  Google Scholar 

  27. Tversky, A., Gilovich, T.: The “Hot Hand”: Statistical reality or cognitive illusiion? Chance, vol. 2, no. 4., pp. 31–34. Taylor & Francis, London (1989, published on line 2012)

    Google Scholar 

  28. Miller, J.B., Sanjurjo, A.: A Cold Shower for the Hot Hand Fallacy. Social Science Research Network (Working Paper No. 518) (2014)

    Google Scholar 

  29. Hertwig, R., Ortmann, A.:The Cognitive Illusion Controversy: A Methodological Debate in Disguise that Matters to Economists. Experimental Business Research, pp. 113–130. Springer, New York (2005)

    Google Scholar 

  30. Tsetsos, K., Chater, N., Usher, M.: Salience driven value integration explains decision biases and preference reversal. Proc. Natl. Acad. Sci. U.S.A. 109(24), 9659–9664 (2012)

    Article  Google Scholar 

  31. Bernoulli, J.: Ars Conjectandi (The Art of Conjecturing, in Latin) (1713)

    Google Scholar 

  32. von Glasersfeld, E.: Radical Constructivism: A Way of Knowing and Learning. The Falmer Press, London/Washington (1995)

    Book  Google Scholar 

  33. Salimpoor, V., Benovoy, M., Larcher, K., Dagher, A., Zatorre, R.J.: Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nat. Neurosci. 14, 257–256 (2011)

    Google Scholar 

  34. Ekman, P., Rosenberg, E.L. (eds.): What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press, New York (1997)

    Google Scholar 

  35. Ekman, P.: Emotions Revealed. Times Books, New York (2003)

    Google Scholar 

  36. Gladwell, M.: The Naked Face. Can experts really read your thoughts? The New Yorker, pp. 38–49 (2002)

    Google Scholar 

  37. Arsham, H.: Time Series Analysis and Forecasting Techniques (2002). http://ubmail.ubalt.edu/~harsham/stat-data/opre330.htm

  38. Dayan, P., Kakade, S., Montague, P.R.: Learning and selective attention. Nat. Neurosci. 3, 1218–1223 (2000)

    Article  Google Scholar 

  39. Nicolelis, M.A.: Actions from thoughts. Nature 409(6818), 403–407 (2001)

    Article  Google Scholar 

  40. Nicolelis, M.A.L., Lebedev, M.A.: Principles of neural ensemble physiology underlying the operation of brain–machine interfaces. Nat. Rev. Neurosci. 10(7), 530–540 (2009)

    Article  Google Scholar 

  41. Nadin, M.: The Civilization of Illiteracy. Dresden University Press, Dresden (1997)

    Google Scholar 

  42. Nadin, M.: Antecapere ergo sum. What price knowledge? AI & Society 25th Anniversary Volume: A Faustian Exchange: What is To Be Human in the Era of Ubiquitous Technology, vol. 28, pp. 39–50. (Springer, London, 2013)

    Google Scholar 

  43. Nadin, M.: Anticipation and risk—from the inverse problem to reverse computation. In: Nadin, M. (ed.) Risk and Decision Analysis vol. 1, no. 2, pp. 113–139. IOS Press, Amsterdam (2009)

    Google Scholar 

  44. Nadin. M.: Anticipatory computing: from a high-level theory to hybrid computing implementations. Int. J. Appl. Res. 1(1), 1–37 (2010) (Image based on earlier work: Hybrid Anticipatory Control Mechanisms (2002))

    Google Scholar 

  45. Taleb, N.N.: Learning to love volatility. Wall Street Journal (2012)

    Google Scholar 

  46. Wigner, E.: The unreasonable effectiveness of mathematics in the natural sciences. Richard courant lecture in mathematical sciences delivered at New York University, May 11, 1959. Commun. Pure Appl. Math. 13, 1–14 (1960)

    Article  MATH  Google Scholar 

  47. Gelfand, I.M., Tsetlin, M.L.: Mathematical Modeling of Mechanisms of the Central Nervous System. Models of the Structural-Functional Organization of Certain Biological Systems (I.M. Gelfand, Editor; C.R. Beard, Trans.) MIT Press, Cambridge (1971)

    Google Scholar 

  48. Velupillai, K.V.: The Unreasonable Ineffectivenss of Mathematics in Economics. Working Paper No. 80 (2004). http://wwweocnomics.nugalway.ie/index/html [(Retrieved February 28, 2015) and in Camb. J. Econ. (Spec. Issue Econ. Future), 29(6), 849–872 (2005)]

  49. Hubel, D.H., Wiesel, T.N.: Receptive fields of single neurons in the cat’s striate cortex. J. Physiol. 165(3), 559–568 (1963)

    Article  Google Scholar 

  50. von Foerster, H., Poerksen, B.: Understanding systems: conversations on epistemology and ethics. Kluwer, New York (2002)

    Google Scholar 

  51. Wittgenstein, L.: Remarks on the Philosophy of Psychology, Vol. 1, G. E. M. Anscombe and G. H. von Wright (Eds.), G. E. M. Anscombe (Trans.); Vol. 2, G. H. von Wright and H. Nyman (Eds.), C. G. Luckhardt and M. A. E. Aue (Trans.). Blackwell, Oxford. (1980) Cited in J. Floyd: Wittgenstein’s Diagonal Argument: A Variation on Cantor and Turing. http://www.bu.edu/philo/files/2012/09/Wittgensteins-Diagonal-Argument.pdf

  52. Turing, A.M.: Intelligent machinery [technical report]. Teddington: National Physical Laboratory (1948) cf. (Copeland, B.J., Ed.), The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life Plus the Secrets of Enigma. Oxford University Press, Oxford (2004)

    Google Scholar 

  53. Turing, A.M.: Programmers’ Handbook for Manchester electronic computer. Mark II (1951)

    Google Scholar 

  54. Gödel, K.: Some remarks on the undecidability results, Collected Works II, pp. 305–306. Oxford University Press, Oxford (1972)

    Google Scholar 

  55. Turing, A.M.: The ACE Report. A.M. In: Carpenter, B.E., Doran, R.W. (eds.) Turing’s Ace Report of 1946 and Other Papers. MIT Press, Cambridge (1986)

    Google Scholar 

  56. Siegelmann, H.T., Sontag, E.D.: On the computational power of neural nets. J. Comput. Syst. Sci. 50(1), 132–150 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  57. Eberbach, E., Goldin, D., Wegner, P.: Turing’s ideas and models of computation. In: Teuscher, C. (ed.) Alan Turing. Life and Legacy of a Great Thinker. Springer, Berlin/Heidelberg (2004)

    Google Scholar 

  58. Elsasser, W.M.: Theory of quantum-mechanical description. Proc. Natl. Acad. Sci. 59(3), 738–744, (1968)

    Google Scholar 

  59. Latash, M.L.: Synergy. Oxford University Press, New York (2008)

    Book  Google Scholar 

  60. Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1, 3–28 (1978). (Elsevier, Amsterdam)

    Article  MATH  MathSciNet  Google Scholar 

  61. Zadeh, L.A.: Foreword. Anticipation—the end is where we start from (M. Nadin). Lars Müller Verlag (2003)

    Google Scholar 

  62. Nadin, M: Quantifying Anticipatory Characteristics. The AnticipationScope and the Anticipatory Profile. In: Iantovics, B., Kountchev, R. (eds.) Advanced Intelligent Computational Technologies and Decision Support Systems, Studies in Computational Intelligence, vol. 486, pp. 143–160. (Springer, New York/London/Heidelberg: Springer 2013)

    Google Scholar 

  63. Bennett, C.H.: Undecidable dynamics. Nature 346, 606–607 (1990)

    Article  Google Scholar 

  64. Bennett, C.H.: Universal computation and physical dynamics. Physica D Nonlinear Phenomena 86(1–2), 268–273 (1995). (Elsevier, Amsterdam)

    Article  MATH  MathSciNet  Google Scholar 

  65. Bennett, C.H., Landauer, R.: The fundamental physical limits of computation. Sci. Am. 253(1), 48–56 (1985)

    Article  Google Scholar 

  66. Stepney, S.: Local and global models of physics and computation. Int. J. Gen Syst 43(7), 673–681 (2014)

    Article  MATH  MathSciNet  Google Scholar 

  67. Watt, D.A.: Programming Language Design Concepts. Wiley, Hoboken (2004)

    Google Scholar 

  68. Landauer, R.: The physical nature of information. Phys. Lett. A 217, 188–193 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  69. Chaitin, G.: What is life? ACM SICACT News 4(January), 12–18 (1970)

    Article  Google Scholar 

  70. MacVittie, K., Katz, E.: Biochemical flip-flop memory systems: essential additions to autonomous biocomputing and biosensing systems. Int. J. Gen Syst 43(7–8), 722–739 (2014)

    Article  MATH  MathSciNet  Google Scholar 

  71. Pejovic, V., Musolesi, M.: Anticipatory mobile computing: a survey of the state of the art and research challenges. ACM Comput. Surv. V(N) (Association for Computing Machinery, New York, 2015)

    Google Scholar 

  72. Makin, T.R., Holmes, N.P., Ehrsson, H.H.: On the other hand: dummy hands and peripersonal space. Behav. Brain Res. 191, 1–10 (2008)

    Article  Google Scholar 

  73. Nadin, M. Variability by another name: “repetition without repetition.” In: Anticipation: Learning from the Past. The Russian/Soviet Contributions to the Science of Anticipation, pp. 329–336. Springer (Cognitive Systems Monographs), Chem, 2015

    Google Scholar 

  74. Schilling, M., Cruse, H.: What’s next: recruitment of a grounded predictive body model for planning a robot’s actions. Frontiers Psychol 3, 1–19 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. antÉ—Institute for Research in Anticipatory Systems, University of Texas at Dallas, Richardson, TX, USA

    Mihai Nadin

Authors
  1. Mihai Nadin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mihai Nadin .

Editor information

Editors and Affiliations

  1. University of Texas at Dallas, antÉ—Institute for Research in Anticipatory Systems, Richardson, Texas, USA

    Mihai Nadin

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Nadin, M. (2016). Anticipation and Computation: Is Anticipatory Computing Possible?. In: Nadin, M. (eds) Anticipation Across Disciplines. Cognitive Systems Monographs, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-319-22599-9_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22599-9_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22598-2

  • Online ISBN: 978-3-319-22599-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation