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The Meaning of Being Digital

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Title: The Meaning of Being Digital


1
The Meaning of Being Digital
  • Harry Halpin
  • University of Edinburgh
  • http//www.ibiblio.org/hhalpin

2
What is Digitality?
  • The field of computing is rife with the
    presumption of a shared definition of digitality.
  • Yet defining what suffices for being digital is
    not clear.

3
Being Digital Informal Definition
  • Need a definition that covers both digital
    phenoumena like digital computers and DC
    Power
  • Being digital is simply having a difference that
    does not make a difference.

4
Goodman on Marks and Difference
  • Goodman defined finitely differentiable Given
    some physically distinguishable marks, it is
    possible to determine for any given mark whether
    it is identical to another mark or marks.
    (Languages of Art, 1968).
  • Despite the variation in handwriting, we
    recognize hand-written letters from a finite
    alphabet.

5
Equivalence and Digitality
  • So, equivalence classes of marks are types.
  • Given a finite number of types in a system, a
    system is digital if any token falls into one of
    the types.
  • Therefore, in between any two types there can not
    be an infinite number of other types.

6
Towards a Definition of Analog
  • This is not to say there are characteristics of a
    token which do not reflect its assignment in a
    type.
  • In an analog system, every difference makes a
    difference, since between any two types there is
    another type that subsumes a unique
    characteristic of the token.
  • An number analogy
  • integers digital
  • continuous analog
  • But not reducible to mappings on number lines!
    These are exemplars, not definitions, numbers
    work at a level of abstraction removed from flex
    and slop

7
Digitality and the World
  • Lewis (1971) took aim at Goodman's interpretation
    of digitality in terms of determinism by arguing
    that digitality was actually a way to represent
    continuous systems using discrete combinatorics.
  • Example discrete mathematics can represent
    continuous subject matters.
  • So, analog analogue of world.

8
Engineering Digitality
  • Haugeland agrees that digital systems are always
    abstractions built on top of analog systems
    (1981).
  • Digitality allows perfect reliability and
    flawless copying.
  • Since once a system is in a digital state
    (type), it does not change unless it is
    explicitly made to change (1985)
  • So digitality is a mundane engineering notion,
    root and branch. It only makes sense as a a
    practical means to cope with the vagarities and
    vicissitudes, the noise and drift, of earthy
    existence(1981).

9
Defining Digitality
  • Digitality is a convergence between a subjective
    abstract mode of thought and an objective system
    that physically implements the very same
    abstraction.
  • Contra Mueller (2007), physical systems are
    digital objectively.
  • Yet there are multiple ways one can legitimately
    state a system is digital, since it is dependent
    on a mode of thought.

10
Abstract Modes of Thought
  • When reading letters in a book, we concentrate on
    the letters, not any minor variations in the
    quality of the paper.
  • It is a convergence between a discrete mode of
    thought, our alphabet (and language in general),
    and a medium, the book.
  • Different modes of abstract thought can
    interpret the same physical system as digital in
    different manners. The marks 11 can mean eleven
    in decimal and three in binary notation.

11
Physical Implementations
  • If we attempt to use an analog system as if it
    were digital and it does not have the proper
    physical characteristics, such as writing letters
    in water, then digitality seems to elude us.
  • Why can some differences dont make a
    difference? How can one define the boundaries of
    digital states?
  • How can this be physical so that it can
    convergence with a mode of thought (form of
    life, i.e. an activity and way of use that is
    also physical)?

12
Fuzzy Boundaries
  • Take the phenomenon of being late or early to a
    meeting, and even on time.
  • One cannot be 12.3936 percent late, or 39.56
    percent on time.
  • Fundamentally, there are three discrete states,
    so these states are not analog-as-continuous, for
    it seems they resist measurement on a continuous
    scale.
  • With being on time and being late there is
    often no difference that makes a difference, so
    these states could be considered a digital mode
    of thought.
  • Think also out of/in the desert or night/day
    time
  • But what is the physical substrata that interacts
    with this?

13
Converging Boundaries
  • To physically implement digitality, there must
    be a small chance that a system can be considered
    to be in a state that is not part of the discrete
    states given by the abstract mode of thought.
  • The fuzzy physical boundary allows within a
    margin of error a discrete boundary decision to
    be made.
  • So a system is digital if that buffer created by
    the margin of error minimizes the chance the
    system is not part of a discrete state in the
    mode of thought.

14
How To Be Digital
  • The hands on a clock can be on the precise
    boundary between markings on the clock, just not
    for very long.
  • It does requires a continuous amount of time to
    go from one digital state to another, but this
    time must be so infinitesimal that it can be
    ignored by the mode of thought.
  • This is why digital systems always have a
    temporal component, such as the double clock in
    digital circuits that Smith notes.
  • While there are differences that make differences
    in physics, on the level of the digital those
    differences don't make a difference its noise

15
Higher and Lower Order Digitality
  • In a given level of a digital system, the margin
    of error does not propagate upwards to other
    levels of abstraction.
  • This former level of abstraction is first-order
    digital, and other latter levels can be
    higher-order digital.
  • First-order digital is created from analog
    (analogue of world) physics ala Lewis.

16
Higher-Order Analog?
  • Higher-order analog on top of lower-order
    digital states.
  • In order to capture analog music stored in a
    digital format, one should sample the wavelength
    twice as often as the highest frequency of the
    waveform, and this leads the human to have an
    analog experience of the music. Is this really
    analog?
  • Digital and Analog are based is modes of thought,
    as our phenomenology of them is constrained
    cognitively. These constraints can be objectively
    studied and world can be thought of as
    metaphysically analog, contra Wheelers digital
    ontology.

17
Sampling and Digitality
  • To create physical systems through engineering,
    we build on physical substrata that have low
    probabilities of being in states that do not map
    to the discrete states of the level of
    abstraction in our mode of thought.
  • Mueller a transistor can be in a voltage state
    that is clearly of type on or off, but it can
    also be on the borderline between the two - it
    just so happens that our computing machines are
    made with systems that do not usually get stuck
    in intermediate states (2007).

18
Parting Thoughts
  • Digitality is not only a physical process, but a
    mode of thought.
  • The vast proliferation of digital technologies is
    possible because there are physical substrata,
    some moreso than other, which support the
    implementation of the digital and give us its
    advantages, flawless copying and perfect
    reliability in a flawed and imperfect world.

19
Cited Works
  • Goodman, Nelson (1968). Languages of Art An
    Approach to a Theory of Symbols. Indianapolis
    Bobbs-Merrill.
  • Haugeland, John. (1981). Analog and Analog,
    Philosophical Topics 12 213-226.
  • Haugeland, John. (1985). Artificial Intelligence
    The Very Idea. Cambridge, Mass. MIT Press.
  • Lewis, David. (1971). Analog and Digital, Nous
    5 321-327.
  • Mueller, Vincent (2007). Representation in
    Digital Systems In Proceedings of Adapation and
    Representation. Paris, France. http//www.interdis
    ciplines.org/adaptation/papers/7
  • Smith, Brian Cantwell (1996). On the Origin of
    Objects. Cambridge, Mass. MIT Press.
  • John Archibald Wheeler. (1990) Information,
    Physics, Quantum The Search for links. In W.H.
    Zurek (ed.) Complexity, Entropy, and the Physics
    of Information. Redwood Addison-Wesley.

20
Any Questions?
  • Merci!
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