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Neural nets and the puzzle of intentionality

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Book cover Neural Nets WIRN Vietri-01

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

In this work, we ask epistemological questions involved in making the intentional behavior the object of physical and mathematical inquiry. We show that the subjective component of intentionality can never become object of scientific inquiry, as related to self-consciousness. On the other hand, the inquiry on objective physical and logical components of intentional acts is central to scientific inquiry. Such inquiry concerns logical and semantic questions, like reference and truth of logical symbols, as well as their relationship to the “complexity” of brain networking. Such metalogical inquiry suggests indeed some hypotheses about the amazing “parallelism”, “plasticity” and “storing capacity” that mammalian and ever human brains might exhibit.

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References

  1. J.A. Fodor, «Fodor’s guide to mental representation: the intelligent auntie’s vademecum», Mind 94:76–100 (1985);

    Article  Google Scholar 

  2. J.A. Fodor, Psychosemantics. The problem of meaning in the philosophy of mind, Cambridge, MA, MIT Press (1987).

    Google Scholar 

  3. A. Tarski, «The semantic conception of truth and the foundations of semantics», in: Readings in philosophical analysis, H. Feigl, ed., New York, Cambridge University Press, pp. 52–84 (1944, 1949).

    Google Scholar 

  4. J.A. Fodor, «Methodological solipsism considered as a research strategy in cognitive psychology», The Behavioral and Brain Sciences 3:63–109 (1980).

    Article  Google Scholar 

  5. J.R. Searle, «Mind, brains and programs. A debate on artificial intelligence», The Behavioral and Brain Science 3:128–135 (1980).

    Google Scholar 

  6. ID., Intentionality. An essay in the philosophy of mind, New York, Cambridge University Press (1983);

    Google Scholar 

  7. ID., Mind language and society, New York, Basic Books (1999).

    Google Scholar 

  8. R. McIntyre, «Intending and referring», in: Husserl, intentionality and cognitive science, H.L. Dreyfus and H. Hall, eds, Cambridge MA., MIT Press, pp. 219–235 (1982).

    Google Scholar 

  9. E. Zalta, Intensional logic and the metaphysics of intentionality, Cambridge, MA, MIT Press (1988).

    Google Scholar 

  10. W.V.O. Quine, Quiddities. An intermittently philosophical dictionary, Cambridge, MA, Harvard University Press (1987).

    Google Scholar 

  11. W.V.O. Quine, Word and object, Cambridge, MA, MIT Press (1960).

    MATH  Google Scholar 

  12. P.S. Churchland, Neurophilosophy. Toward a unified science of the mind-brain, Cambridge MA, MIT Press (1986);

    Google Scholar 

  13. P. Churchland, The engine of reason, the seat of the soul, Cambridge MA, MIT Press (1996).

    Google Scholar 

  14. H. Putnam, Representations and reality, Cambridge, MA, MIT Press (1988).

    Google Scholar 

  15. H. Putnam, «The mening of ‘meaning’». In: Philosophical papers: mind, language and reality, New York, Cambridge University Press (1972), pp. 215–271.

    Google Scholar 

  16. S. Kripke, Naming and necessity, Cambridge MA, Harvard University Press (1972, 1996).

    Google Scholar 

  17. A. Clark, Being there. Putting brain, body and world together again, Cambridge MA, MIT Press (1998).

    Google Scholar 

  18. I. Lakatos, Mathematics, science and epistemology, Cambridge, Cambridge University Press (1978).

    Book  MATH  Google Scholar 

  19. D. R. Hofstadter, Fluid concepts and creative analogies, New York, Harper Collins Publ. (1995).

    Google Scholar 

  20. C. Cellucci, Le ragioni della logica, Roma—Bari, Laterza (1998).

    Google Scholar 

  21. G. Basti, «Per una lettura tomista dei fondamenti della logica e della matematica», in: Basti G. and Perrone A.L., Le radici forti del pensiero debole: dalla metafisica, alia matematica, al calcolo, Padova-Roma, Il Poligrafo e Pontificia University Lateranense, pp. 19–254 (1996).

    Google Scholar 

  22. G. Basti «L’approccio aristotelico-tomista alle aporie dell’induzione». In: Il fare della scienza. I fondamenti e le palafitte, F. Barone, G. Basti, C. Testi eds., Padova, Il Poligrafo, pp. 41–95 (1997).

    Google Scholar 

  23. S. Feferman, «Transfinite recursive progressions of axiomatic theories», The Journal of symbolic logic 27, pp. 259–316 (1962).

    Article  MathSciNet  Google Scholar 

  24. T. G. McCarthy, «Self—reference and incompleteness in a non-monotonic settings», The Journal of philosophical logic 23, pp. 423–449 (1994).

    Article  MathSciNet  MATH  Google Scholar 

  25. J.-Y. Girard, «Le champ du signe ou la faillite du réductionisme», in: E. Nagel and J. R. Newmann, Le théorème de Gödel, Paris, Editions du Seuil, p. 161 (1989).

    Google Scholar 

  26. K. R. Popper, Logic of scientific discovery, London, Routledge and Keegan P. (1959).

    MATH  Google Scholar 

  27. P.J. Cohen, Set theory and the continuum hypothesis, New York (1966).

    MATH  Google Scholar 

  28. G. Gentzen, «Die Wiederspruchsfreiheit der reinen Zahlenthorie», in Mathematische Annalen, 112, pp. 439–565 (1936).

    Article  MathSciNet  Google Scholar 

  29. C.M. Gray, P. Koenig, A.K. Engel and W. Singer «Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties», Nature 338, pp. 334–337 (1989).

    Article  Google Scholar 

  30. R. Eckhorn, H.J. Reitboeck, M. Arndt and P. Dicke «Feature linking via synchronization among distributed assemblies: simulation of results from cat visual cortex», Neural Computation 2:293–307 (1990).

    Article  Google Scholar 

  31. A.K. Engel, P. Koenig, C.M. Gray and W. Singer «Synchronization of oscillatory responses: a mechanism for stimulus-dependent assembly formation in act visual cortex», in: Parallel processing in neural systems and computers, R. Eckmiller, ed., Amsterdam, Elsevier, pp. 212–217 (1990).

    Google Scholar 

  32. C.A. Skarda, and W.J. Freeman «How brains mako chaos in order to make sense of the world», Behavioral and Brain Sciences 10:161–195 (1987).

    Article  Google Scholar 

  33. G. Parisi, «Asymmetric Neural Nets and the Process of Learnings», Journ.of Phys. A: Math.Gen, 19, L675–680 (1986).

    Article  MathSciNet  Google Scholar 

  34. A.L. Perrone, «A formal scheme to avoid undecidabilities: an application to chaotic dynamics characterization and parallel computation» in: Cognitive and dynamical systems. Lecture Notes in Computer Science, S.I. Andersson, ed., 888:9–52 (1995);

    Google Scholar 

  35. ID., «Verso una teoria dinamica della computazione», in: G. Basti and A.L. Perrone, Le radici forti del pensiero debole: dalla metafisica, alia matematica, al calcolo, Padova-Roma, Il Poligrafo e Pontificia Università Lateranense, pp. 255–332 (1996);

    Google Scholar 

  36. ID., «Applications of chaos theory to lossy image compression», Nuclear Instruments and Methods in Physics Research. Section A., 389, pp. 221–225 (1997);

    Article  Google Scholar 

  37. ID., «The cognitive role of chaos in neural information processings. In: Proceedings of the International School of Biocybernetics: «Processes in the perception representation mechanisms», C. Taddei-Ferretti and C. Muzio eds., Singapore-London, World Scientific (1999).

    Google Scholar 

  38. A.L. Perrone, «A new approach to chaotic systems characterization and its implications for biology», Aquinas XLIII-2:381–409 (2000).

    Google Scholar 

  39. M.I. Posner, and M.E. Raichle Images of mind, New York, Scientific American Library (1994).

    Google Scholar 

  40. M. Minsky, and S. Papert Perceptrons. 2 Edition, Cambridge Mass., MIT Press (1988).

    MATH  Google Scholar 

  41. A.L. Perrone, Basti G., Messi R., Pasqualucci E., Paoluzi L. «Offline Analysis of HEP events by the ‘dynamic perception’ neural network», Nuclear Instruments and Methods in Physics Research. Section A., 389, 210–213 (1997).

    Article  Google Scholar 

  42. M. Tsukada, (1998). Private communication for his experimental findings in late 1970s on dynamic receptive field in cat retinal ganglion cells.

    Google Scholar 

  43. J. J. Eggermont, A. M. Aertsen, H. J. Hermes, and P.I.M. Johannesma, «Spectro-Temporal Characterization of Auditory Neurons: Redundant or Necessary?», Hearing Research 5, pp. 109–121 (1981).

    Article  Google Scholar 

  44. M. P. Kilgard and M. M. Merzenich, «Cortical map reorganization enabled by nucleus basalis activity», Science 279, pp. 1714–1718 (1998).

    Article  Google Scholar 

  45. H. Dinse, «A Temporal Structure of Cortical Information Processings», Concepts in Neuroscience 1, pp. 199–238 (1990).

    Google Scholar 

  46. H. Dinse, «A time-based approach towards cortical functions: neural mechanisms underlying dynamic aspects of information processing before and after postontogenetic plastic processes», Physica D 75, pp. 129–150 (1994).

    Article  MATH  Google Scholar 

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© 2002 Springer-Verlag London Limited

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Basti, G., Perrone, A.L. (2002). Neural nets and the puzzle of intentionality. In: Tagliaferri, R., Marinaro, M. (eds) Neural Nets WIRN Vietri-01. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0219-9_34

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  • DOI: https://doi.org/10.1007/978-1-4471-0219-9_34

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-505-2

  • Online ISBN: 978-1-4471-0219-9

  • eBook Packages: Springer Book Archive

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