A
review
of
studies
on
the
interaction
information
with
physical
world
found
no
fundamental
contradiction
between
eighth
authors
promoting
Infodynamics.
Each
one
emphasizes
different
aspects.
The
fact
that
energy
requires
in
order
to
produce
work
and
acquisition
new
energy,
triggers
synergistic
chain
reactions
producing
increases
negentropy
(increases
Useful
Information
or
decreases
Entropy)
living
systems.
Infodynamics
aims
study
feasible
balances
using
empirical
methods.
Getting
so
does
separating
useful
from
noise.
Producing
information,
but
there
is
direct
proportionality
required
unleashed
by
this
information.
Energy
are
parts
two
separate
realms
reality
intimately
entangled
follow
laws
nature.
recognizes
multiple
forms
dimensions
can
be
opposite
thermodynamic
entropy
(Negentropy),
a
trigger
Free
(Useful
Potentially
Useful),
reserve
(Redundant
Information),
Structural,
Enformation,
Intropy,
Entangled,
Encrypted
Noise.
These
overlapping
functional
properties
focusing
aspects
Information.
Studies
normally
quantify
only
these
dimensions.
challenge
design
overcome
limitations.
working
sexual
reproduction
its
evolution
through
natural
selection
role
powering
continuous
increase
systems
might
teach
us
how.
A
review
of
studies
on
the
interaction
information
with
physical
world
found
no
fundamental
contradiction
between
eighth
authors
promoting
Infodynamics.
Each
one
emphasizes
different
aspects.
The
fact
that
energy
requires
in
order
to
produce
work
and
acquisition
new
energy,
triggers
synergistic
chain
reactions
producing
increases
negentropy
(increases
Useful
Information
or
decreases
Entropy)
living
systems.
Infodynamics
aims
study
feasible
balances
using
empirical
methods.
Getting
so
does
separating
useful
from
noise.
Producing
information,
but
there
is
direct
proportionality
required
unleashed
by
this
information.
Energy
are
parts
two
separate
realms
reality
intimately
entangled
follow
laws
nature.
recognizes
multiple
forms
dimensions
can
be
opposite
thermodynamic
entropy
(Negentropy),
a
trigger
Free
(Useful
Potentially
Useful),
reserve
(Redundant
Information),
Structural,
Enformation,
Intropy,
Entangled,
Encrypted
Information,
Synergic
Noise.
These
overlapping
functional
properties
focusing
aspects
Information.
Studies
normally
quantify
only
these
dimensions.
challenge
design
overcome
limitations.
working
sexual
reproduction
its
evolution
through
natural
selection
role
powering
continuous
increase
systems
might
teach
us
how.
Information
and
Energy
are
related.
The
Second
Law
of
Thermodynamics
states
that
entropy
continuously
increases,
applies
to
changes
in
energy
heat,
but
it
does
not
apply
information
dynamics.
Changes
coupled
have
completely
different
Infodynamics
has
made
clear
Thermodynamic
Entropy
distinct
concepts.
Total
contains
Free
Entropy,
whereas
or
Useful
Noise,
both
which
may
be
gained
lost
irreversible
processes.
Increases
open
systems
require
more
Information,
reducing
increasing
Entropy.
Empirical
data
show
the
is
created,
required;
produced
spent.
–
relationship
underlies
all
processes
where
novel
structures,
forms
emerge.
Although
science
cannot
predict
structure
will
produce
Energy,
engineers
been
successful
finding
increases
Energy.
Here
I
explore
fate
its
relation
with
Thermodynamics,
showing
distinguishing
between
disentangling
interactions,
fundamental
advancing
our
understanding
thermodynamics
A
review
of
studies
on
the
interaction
information
with
physical
world
found
no
fundamental
contradiction
between
eighth
authors
promoting
Infodynamics.
Each
one
emphasizes
different
aspects.
The
fact
that
energy
requires
in
order
to
produce
work
and
acquisition
new
energy,
triggers
synergistic
chain
reactions
producing
increases
negentropy
(increases
Useful
Information
or
decreases
Entropy)
living
systems.
Infodynamics
aims
study
feasible
balances
using
empirical
methods.
Getting
so
does
separating
useful
from
noise.
Producing
information,
but
there
is
direct
proportionality
required
unleashed
by
this
information.
Energy
are
parts
two
separate
realms
reality
intimately
entangled
follow
laws
nature.
recognizes
multiple
forms
dimensions
can
be
opposite
thermodynamic
entropy
(Negentropy),
a
trigger
Free
(Useful
Potentially
Useful),
reserve
(Redundant
Information),
Structural,
Enformation,
Intropy,
Entangled,
Encrypted
Noise.
These
overlapping
functional
properties
focusing
aspects
Information.
Studies
normally
quantify
only
these
dimensions.
challenge
design
overcome
limitations.
working
sexual
reproduction
its
evolution
through
natural
selection
role
powering
continuous
increase
systems
might
teach
us
how.
Information
and
Energy
are
related.
The
Second
Law
of
Thermodynamics
applies
to
changes
in
energy
heat,
but
it
does
not
apply
information
dynamics.
Advances
Infodynamics
have
made
clear
that
Total
contains
Useful
Noise,
both
which
may
be
gained
or
lost
irreversible
processes.
Increases
Free
open
systems
require
more
Information,
reducing
increasing
Thermodynamic
Entropy.
Empirical
data
show
the
is
created,
required;
produced
spent.
–
relationship
underlies
all
processes
where
novel
structures,
forms
emerge.
Although
science
cannot
predict
structure
will
produce
Energy,
engineers
been
successful
finding
increases
Energy.
Here
I
explore
fate
its
relation
with
Thermodynamics.
Information
and
Energy
are
related.
The
Second
Law
of
Thermodynamics
applies
to
changes
in
energy
heat,
but
it
does
not
apply
information
dynamics.
Advances
Infodynamics
have
made
clear
that
Total
contains
Useful
Noise,
both
which
may
be
gained
or
lost
irreversible
processes.
Increases
Free
open
systems
require
more
Information,
reducing
increasing
Thermodynamic
Entropy.
Empirical
data
show
the
is
created,
required;
produced
spent.
–
relationship
underlies
all
processes
where
novel
structures,
forms
emerge.
Although
science
cannot
predict
structure
will
produce
Energy,
engineers
been
successful
finding
increases
Energy.
Here
I
explore
fate
its
relation
with
Thermodynamics.
Information
and
Energy
are
related.
The
Second
Law
of
Thermodynamics
states
that
entropy
continuously
increases,
applies
to
changes
in
energy
heat,
but
it
does
not
apply
information
dynamics.
Changes
coupled
have
completely
different
Infodynamics
has
made
clear
Thermodynamic
Entropy
distinct
concepts.
Total
contains
Free
Entropy,
whereas
or
Useful
Noise,
both
which
may
be
gained
lost
irreversible
processes.
Increases
open
systems
require
more
Information,
reducing
increasing
Entropy.
Empirical
data
show
the
is
created,
required;
produced
spent.
–
relationship
underlies
all
processes
where
novel
structures,
forms
emerge.
Although
science
cannot
predict
structure
will
produce
Energy,
engineers
been
successful
finding
increases
Energy.
Here
I
explore
fate
its
relation
with
Thermodynamics.
Measuring
complexity
in
multidimensional
systems
with
high
degrees
of
freedom
and
a
variety
types
information,
remains
an
important
challenge.
Complexity
system
is
related
to
the
number
components,
type
interactions
among
them,
degree
redundancy,
system.
Examples
show
that
different
disciplines
science
converge
measures
for
low
dimensional
problems.
For
systems,
such
as
coded
strings
symbols
(text,
computer
code,
DNA,
RNA,
proteins,
music),
Shannon’s
Information
Entropy
(expected
amount
_information_
event
drawn
from
given
distribution)
Kolmogorov‘s
Algorithmic
(the
length
shortest
algorithm
produces
object
output),
are
used
quantitative
measurements
complexity.
more
dimensions
(ecosystems,
brains,
social
groupings),
network
provides
better
tools
purpose.
complex
highly
none
former
methods
useful.
Useful
Φ,
proposed
by
Infodynamics,
can
be
It
quantified
measuring
thermodynamic
Free
Energy
F
and/or
useful
Work
it
produces.
measured
Total
I,
then
defined
information
system,
includes
useless
or
Noise
N,
Redundant
R.
one
these
variables
allows
quantifying
classifying
Measuring
complexity
in
multidimensional
systems
with
high
degrees
of
freedom
and
a
variety
types
information,
remains
an
important
challenge.
Complexity
system
is
related
to
the
number
components,
type
interactions
among
them,
degree
redundancy,
system.
Examples
show
that
different
disciplines
science
converge
measures
for
low
dimensional
problems.
For
systems,
such
as
coded
strings
symbols
(text,
computer
code,
DNA,
RNA,
proteins,
music),
Shannon’s
Information
Entropy
(expected
amount
_information_
event
drawn
from
given
distribution)
Kolmogorov‘s
Algorithmic
(the
length
shortest
algorithm
produces
object
output),
are
used
quantitative
measurements
complexity.
more
dimensions
(ecosystems,
brains,
social
groupings),
network
provides
better
tools
purpose.
complex
highly
none
former
methods
useful.
Useful
Φ
(Information
thermodynamic
free
energy)
can
be
quantified
by
measuring
Free
Energy
F
and/or
useful
Work
it
produces.
Here
I
propose
measure
Total
I,
defined
information
system,
including
Φ,
useless
or
Noise
N,
Redundant
R.
one
these
variables
allows
quantifying
classifying
two
windows
overlooking
same
fundamental
phenomenon
broadening
out
quantify
both.
Measuring
complexity
in
multidimensional
systems
with
high
degrees
of
freedom
and
a
variety
types
information,
remains
an
important
challenge.
The
system
is
related
to
the
number
components,
type
interactions
among
them,
degree
redundancy,
system.
Examples
show
that
different
disciplines
science
converge
measures
for
low
dimensional
problems.
For
systems,
such
as
coded
strings
symbols
(text,
computer
code,
DNA,
RNA,
proteins,
music),
Shannon’s
Information
Entropy
(expected
amount
information
event
drawn
from
given
distribution)
Kolmogorov‘s
Algorithmic
Complexity
(the
length
shortest
algorithm
produces
object
output),
are
used
quantitative
measurements
complexity.
more
dimensions
(ecosystems,
brains,
social
groupings),
network
provides
better
tools
purpose.
highly
complex
none
former
methods
useful.
Here,
can
be
ranging
subatomic
ecological,
social,
mental
AI.
Useful
Φ
(Information
thermodynamic
free
energy)
quantified
by
measuring
Free
Energy
and/or
useful
Work
it
produces.
measured
Total
I
system,
includes
Φ,
useless
or
Noise
N,
Redundant
R.
one
these
variables
allows
quantifying
classifying
two
windows
overlooking
same
fundamental
phenomenon,
broadening
out
explore
deep
structural
dynamics
nature
at
all
levels
complexity,
including
natural
artificial
intelligence.
Measuring
complexity
in
multidimensional
systems
with
high
degrees
of
freedom
and
a
variety
types
information,
remains
an
important
challenge.
The
system
is
related
to
the
number
components,
type
interactions
among
them,
degree
redundancy,
system.
Examples
show
that
different
disciplines
science
converge
measures
for
low
dimensional
problems.
For
systems,
such
as
coded
strings
symbols
(text,
computer
code,
DNA,
RNA,
proteins,
music),
Shannon’s
Information
Entropy
(expected
amount
information
event
drawn
from
given
distribution)
Kolmogorov‘s
Algorithmic
Complexity
(the
length
shortest
algorithm
produces
object
output),
are
used
quantitative
measurements
complexity.
more
dimensions
(ecosystems,
brains,
social
groupings),
network
provides
better
tools
purpose.
highly
complex
none
former
methods
useful.
Here,
can
be
ranging
subatomic
ecological,
social,
mental
AI.
Useful
Φ
(Information
thermodynamic
free
energy)
quantified
by
measuring
Free
Energy
and/or
useful
Work
it
produces.
measured
Total
I
system,
includes
Φ,
useless
or
Noise
N,
Redundant
R.
one
these
variables
allows
quantifying
classifying
two
windows
overlooking
same
fundamental
phenomenon,
broadening
out
explore
deep
structural
dynamics
nature
at
all
levels
complexity,
including
natural
artificial
intelligence.
