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The Irreducible Immateriality of Meaning and Its Crucial Role for Artificial, Human, and (Maybe) Non-human Intelligence

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Brain, Decision Making and Mental Health

Part of the book series: Integrated Science ((IS,volume 12))

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Summary

Are there good reasons to believe that meaning is not reducible to any material object? Some new arguments in favor are discussed here, which do not depend on any previous specific theory, but only on factual evidence: we may disagree on how to explain the immaterial nature of meaning and therefore also of the process of thinking, or even recognize that we cannot explain them at all, but this is not a good reason to accept a reductionist explanation if it has proved inadequate. First, I will present a new version of the classical Gödelian argument aimed at proving that meaning cannot be fully formalized and, therefore, the human mind is not a computer. Then, I will argue, also by means of a little experiment, that, in a sense, not even a computer is a computer, since what we call “computation” is such only for a mind able to understand its meaning, and not in itself. Finally, I will try to explain why, paradoxically, it is precisely thanks to the immaterial nature of meaning that a material object like a computer can imitate human intelligence, at least to some extent, and perhaps human intelligence could one day communicate with some form of non-human intelligence (if any), as shown by some recent studies carried out in the field of SETI, the Search for Extra-Terrestrial Intelligence program that is currently carried out all over the world by means of radio telescopes.

Graphical Abstract/Art Performance

iBrain.

The work is inspired by the Arc of a Scythe series by Neal Shusterman.

(Adapted with permission from the Association of Science and Art (ASA), Universal Scientific Education and Research Network (USERN); Painting by Saina Adiban Afkham).

So, should we assume, he said, two kinds of beings,

one visible, the other, instead, invisible?

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Notes

  1. 1.

    The field is so vast, indeed, that it is difficult to be absolutely certain. However, the paper was written and awarded the Oxford prize in 2012, then published in Spanish in [2] and in English in [3], to which I refer the reader for a complete discussion. Neither the Oxford jurors, nor the referees of Quaerentibus journal and Franco Angeli publisher (including Agazzi himself) ever raised any objection to its originality, and no similar argument is mentioned in the very reliable state-of-the-art reviews made by Berto [4] and Fano and Graziani [5], so I’m reasonably certain that it is truly original.

  2. 2.

    I mean, to analyze from a philosophical point of view, since from a technical point of view Gödel’s proof has been analyzed a lot of times.

  3. 3.

    Its leader is the world-renowned astrophysicist Marco Bersanelli, deputy principal investigator of the Planck satellite, which on 17 July 2018 released the most accurate map ever of the Cosmic Microwave Background (CMB) produced by the Big Bang.

  4. 4.

    See www.meetingrimini.org; I strongly recommend to anybody to visit it at least once in your life: it’s something absolutely unique in the world.

  5. 5.

    I’m aware that the vast majority of contemporary philosophers of science have a different opinion, since very often, since Hanson, they have used precisely such images as evidence in favor of their theories on the intrinsic ambiguity of reality or, at least, of our knowledge. For an adequate critical discussion of this position, which nowadays is (unfortunately) predominant worldwide, see Agazzi [9] and Musso [10]. Here I can only reply, in a nutshell, that: (1) the almost inhuman precision achieved in many fields by modern science and its technological applications makes epistemic antirealism hardly credible; (2) the most basic principle of the scientific method is that theories are based on facts and not vice versa, and this is not going to change just because some philosophers think it should.

  6. 6.

    It is worth noting that a Turing machine would be a serious candidate to use my BCS code, since it works by moving back and forth, modifying it at each step, a potentially infinite string of symbols, which could be represented by colored squares without a significant loss of efficiency (also because a Turing machine already has a very low efficiency, although in principle it can do whatever an electronic computer can do, but in an enormously longer time).

  7. 7.

    However, just not to completely disappoint those who may be interested in this problem, I can say that in my opinion an explanation is possible, although none of the existing theories are completely adequate. In a nutshell, to be satisfactory a mind-body theory should: (a) be neither reductionist nor dualistic, clearly distinguishing material and immaterial factors without separating them; (b) not to focus only on consciousness, since perception also has an immaterial aspect, although I cannot demonstrate it here; (c) provide a suitable interpretation of quantum mechanics, since quantum indeterminism is necessary but not sufficient to account for the possibility of free will. I have pondered this problem practically all my life, and now I believe that this could be done by merging Aristotle’s hylomorphism with Nagel’s psychophysical monism [13] and something like Bohm’s pilot wave theory reinterpreted in the light of Feynman’s sum-over-paths approach (!). Not so easy, indeed, but I hope to be able to present my proposal in the next future, maybe (why not?) in another book of the Integrated Science series.

  8. 8.

    And space, of course. But it is easy to see that the same reasoning can also be made about it.

  9. 9.

    Once again, I won’t discuss here how this can happen: I just acknowledge that it is what happens.

  10. 10.

    Even with respect to how represent concepts, a slow but constant trend is clearly recognizable throughout human history, going from more intuitive but also more complex symbols towards less intuitive or even non-intuitive but simpler symbols, both in mathematics and in languages.

  11. 11.

    Recently, an interesting attempt to mathematically discuss this problem was made by the Italian physicist Tito Arecchi [15, 16], one of the best world experts on chaos, complexity and nonlinear phenomena. For a critical discussion see Musso [17].

  12. 12.

    This does not contradict what we said above, since here the physical output of computation is not produced by computation itself, but by the physical causal powers of the electrons (although their motion is determined by a structure which follows the logic of what we call “computation”: but, once again, this is caused by the physical causal powers of the material elements which the circuits are composed of, and not by logic itself).

  13. 13.

    SETI, the Search for Extra-Terrestrial Intelligence, is a research program that tries to detect by means of radio telescopes possible artificial radio signals from other civilizations (if any). Its basic concepts were enunciated for the first time in 1959 by Cocconi and Morrison [42], while the first search was done in 1960 by Frank Drake, who later, in 1984, also founded the SETI Institute. The IAA SETI Committee, created in 1971, is an interdisciplinary group (of which I’m a member, too) that coordinates all the SETI programs active in the world.

  14. 14.

    Actually, I was also an invited speaker in the next Workshop, held in Paris on 18 March 2002 at the home of astronomer Roger Malina, where I was asked to give the introductory speech, summarizing the main results of the Toulouse Workshop.

  15. 15.

    For a short summary see Musso [54, 55], for a wider exposition see Musso [56]. It would really be a shame to scatter such a treasure. Precisely for this reason, in my University of Insubria we have recently created an international research center called InCosmiCon (Intelligence in the Cosmic Context) which will try, among other things, to resume and revive this kind of research. If anyone wants to participate, please contact me.

  16. 16.

    If, of course, we reject epistemic antirealism, as scientists usually do (see note 5).

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Musso, P. (2023). The Irreducible Immateriality of Meaning and Its Crucial Role for Artificial, Human, and (Maybe) Non-human Intelligence. In: Rezaei, N. (eds) Brain, Decision Making and Mental Health. Integrated Science, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-031-15959-6_25

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