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Psychonomics: The ontology of psychology

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ii.) Greg Chaitlin: The shortest representation (= elimination of redundancy) ... Information = the shortest representation ... – PowerPoint PPT presentation

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Title: Psychonomics: The ontology of psychology


1
PsychonomicsThe ontology of psychology
2
Overview
  • What is information? Where does it come from? How
    do we recognize and measure it?
  • What is information processing?
  • What is a rule?

3
What really exists? What does it mean to
reallyexist
  • Consider the binary digit 1101100010010111 -
    What is it?
  • An integer

How can we tell the difference between a new
notation or representation and a new fact or
object?
  • A real number
  • A color
  • A Japanese character
  • A date
  • A memory location

4
What is information?
  • Three related definitions
  • i.) Claude Shannon / Norbert Wiener Reduction in
    uncertainty
  • ii.) Greg Chaitlin The shortest representation
    ( elimination of redundancy)
  • iii.) Gregory Bateson Differences that make a
    difference

5
i.) Claude Shannon / Norbert Wiener Information
as reduction in uncertainty
  • defined information as the negative condition
    (opposite) of the statistical properties of
    uncertainty in thermodynamic gases
  • their equation defines information in terms of
    the number of decisions that must be made in
    order to change uncertainty to certainty

6
i.) Claude Shannon / Norbert Wiener Information
as reduction in uncertainty
  • information the number of decisions that must
    be made in order to change uncertainty into
    certainty
  • In general, this is a log function of the number
    of items that is, each reduction takes away the
    same proportion of remaining uncertainty (usually
    half)
  • Example How much information is in the alphabet?

Hint Ask someone to think of a letter and play
20 questions
You need at most 5 questions, so the answer is
about 5 bits of information (log2(26) 4.7)
7
ii.) Greg Chaitin Information the shortest
representation
  • Clever people can, in some situations, ask better
    questions
  • an entity is said to contain as much information
    as can be contained in the shortest computer
    program (in a well-defined way) that can produce
    that entity
  • that program is essentially equivalent to a
    description of that information
  • Note the notion of elimination of redundancy an
    emphasis on the BEST representation as a measure
    of information content.

Q What does this say about random data sets?
8
iii.) Gregory Bateson Information Differences
that make a difference
  • One persons information is another persons
    irrelevancy
  • For example, you will ignore the top bits of a
    byte if you dont need them so you compress any
    number of irrelevant bits (including random bits)
    down to 0
  • - In biological systems- in human psychology- we
    have to ask What does these bits mean?
  • information is a difference that makes a
    difference
  • What makes a difference to an individual depends
    on what that individual wants to do his/her
    motivation and/or interests

9
  • Information and meaning are aligned, but in
    different worlds.
  • Information allows meaning, but it does not
    specify meaning.
  • Informationmeaning soilplants
  • - they allow growth, but dont have anything to
    say about what will grow...
  • What humans crave is meaning. What the world
    offers us is information.

10
Where does information come from?
  • Along with observation, we have three ways to get
    information
  • 1.) By deduction Drawing a conclusion from a
    principle already known or assumed reasoning
    from generals to particulars

2.) By induction Deriving a general principle
from the observation of particular instances
3.) By abduction Deriving a general principle
when the major premiss is certain, and the minor
only probable
11
What is information processing?
  • Note that all three techniques take as input
    information
  • Information comes from manipulating information
  • We manipulate information by applying
    transformation rules to it

12
What is a rule?
  • We manipulate information by applying
    transformation rules
  • There are two kinds of rules
  • i.) Rules for determining type What is this X?
  • ii.) Rules for transforming ( computing across)
    specified types (known as methods) What I can
    I do with X? What can X do for me? Why does X
    make a difference?

13
What is a formal system?
  • i.) Assumptions An explicit and finite list of
    axioms- without which, nothing.
  • ii.) Symbols An explicit and finite list of
    symbols- without which, nothing to systematize
  • iii.) Rules An explicit and finite list of
    rules for determining grammaticality- without
    which, gibberish
  • iv.) Methods An explicit and finite list of
    steps of transformation- without which, chaos.

14
What is a formal system?
  • Logic, geometry, computer languages, statistical
    methods ARE formal systems
  • Thermostats, electrical devices, other
    deterministic machines can be described by formal
    systems because they have a strong mapping with
    formal systems.
  • Our 431 questions are What else can be described
    in formal terms? How much of the observable
    variability in humans can be captured in terms of
    the four components of a formal system? Of what
    can human psychology speak? Of what must it
    remain silent?

15
Questions
  • Why do we only want to speak of entities that
    fall under formal systems? What is gain/lost by
    this?
  • How is kindness different from wood?
  • Is kindness more or less real than wood?
    Why?
  • Is kindness more or less real than
    intelligence? Why?
  • Should we include moral axioms in our list of
    axioms defining what we can do in our system(s)?
    Why or why not?
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